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These are the user uploaded subtitles that are being translated: 1 00:00:37,733 --> 00:00:40,605 This is a story of planetary hope 2 00:00:40,649 --> 00:00:44,435 inspired by one of the biggest ideas of the century, 3 00:00:46,394 --> 00:00:50,572 the fate of our planet may depend on a new food science 4 00:00:50,615 --> 00:00:54,750 that grows real meat directly from animal cells 5 00:00:55,142 --> 00:00:59,233 without the need to breed, raise, and slaughter animals. 6 00:01:02,018 --> 00:01:06,066 Let's face it, conventional animal agriculture 7 00:01:06,109 --> 00:01:07,806 is wreaking havoc, 8 00:01:07,850 --> 00:01:11,288 it occupies nearly half of the world's land, 9 00:01:11,941 --> 00:01:15,118 produces huge amounts of greenhouse gases 10 00:01:15,771 --> 00:01:17,729 and there's a potential breeding ground 11 00:01:17,773 --> 00:01:21,342 for health pandemics like COVID 19. 12 00:01:24,519 --> 00:01:28,262 With meat consumption expected to double by 2050, 13 00:01:28,305 --> 00:01:30,829 we urgently need solutions. 14 00:01:34,790 --> 00:01:38,141 Welcome to the next agricultural revolution. 15 00:02:10,042 --> 00:02:13,176 This is the first time a meatball has ever been cooked 16 00:02:13,220 --> 00:02:16,832 with beef cells that did not require a cow to be slaughtered 17 00:02:40,334 --> 00:02:41,813 This has been something 18 00:02:41,857 --> 00:02:44,120 that I've been dreaming about since I was a kid. 19 00:02:47,732 --> 00:02:50,866 Thinking about the impact on human lives and animal lives 20 00:02:53,390 --> 00:02:55,914 and the ills of food production. 21 00:03:07,404 --> 00:03:10,059 It's been ten years since I finished training 22 00:03:10,102 --> 00:03:14,846 in cardiology at the Mayo Clinic and wanted to be able to pursue 23 00:03:14,890 --> 00:03:18,110 an idea of can you grow meat from animal cells 24 00:03:21,070 --> 00:03:23,942 and I'm extremely fortunate to have the support I have at home. 25 00:03:25,901 --> 00:03:29,905 My wife and kids are being proud of what I am doing. 26 00:03:32,299 --> 00:03:34,039 Over the last few years we spent a lot of time 27 00:03:34,083 --> 00:03:36,738 talking about what if your dad started this company. 28 00:03:36,781 --> 00:03:38,696 And if we had to move, how would it look like? 29 00:03:38,740 --> 00:03:41,351 It was extremely hard for us even to have the conversation 30 00:03:41,395 --> 00:03:42,744 because I'm a very involved dad. 31 00:03:49,490 --> 00:03:50,926 The last year has been determined 32 00:03:50,969 --> 00:03:53,058 by the amount of changes in our lives. 33 00:03:53,102 --> 00:03:55,147 So you know, I founded the company 34 00:03:55,670 --> 00:03:57,411 built an amazing team here. 35 00:03:57,454 --> 00:04:01,241 I quit Cardiology, operating from my home in Minnesota. 36 00:04:02,764 --> 00:04:05,767 I've never been away from home more than 20 days a year. 37 00:04:06,463 --> 00:04:08,248 In the last year, it's been like 38 00:04:08,291 --> 00:04:10,250 250 days or something so. 39 00:04:11,338 --> 00:04:12,861 It just went up in magnitude. 40 00:04:17,344 --> 00:04:19,171 And I can see it only getting busier 41 00:04:19,215 --> 00:04:22,436 and I can see that you know, 42 00:04:23,437 --> 00:04:27,702 this requires that I'm under someone to focus, and passion. 43 00:04:31,314 --> 00:04:33,142 We just have to keep trying. 44 00:04:37,320 --> 00:04:38,930 Hi, Jason. Can you hear me well? 45 00:04:38,974 --> 00:04:40,149 Yes, I can. 46 00:04:40,192 --> 00:04:42,107 And how do I sound to you? 47 00:04:42,151 --> 00:04:43,326 You sound clear. 48 00:04:43,370 --> 00:04:45,285 Okay, great. 49 00:04:45,328 --> 00:04:47,330 So let me make sure I'm pronouncing your name, right. 50 00:04:47,374 --> 00:04:49,158 Dr. Uma Valeti, Right? 51 00:04:49,201 --> 00:04:50,812 That's correct. 52 00:04:50,855 --> 00:04:52,596 How much funding did you take on? 53 00:04:52,640 --> 00:04:54,511 Is this venture back now or give us some idea? 54 00:04:54,555 --> 00:04:57,688 So this was founded by Nick and myself 55 00:04:57,732 --> 00:05:01,126 and Will from Memphis and the three of us, 56 00:05:01,170 --> 00:05:03,433 we raised about $3.1 million. 57 00:05:03,477 --> 00:05:05,609 We had a venture capital group called Indy Bio 58 00:05:05,653 --> 00:05:06,958 that funded us. 59 00:05:08,873 --> 00:05:11,049 Okay, this will be an edit, so just a moment. 60 00:05:11,093 --> 00:05:12,442 What type of doctor are you? 61 00:05:12,486 --> 00:05:14,705 I'm a cardiologist. 62 00:05:14,749 --> 00:05:16,577 Okay, oh great. Let's just, let's just dive in and do this. 63 00:05:17,229 --> 00:05:19,971 It's my pleasure to welcome Dr Uma Valeti. 64 00:05:20,015 --> 00:05:22,539 He is CEO of Memphis Meats. 65 00:05:22,583 --> 00:05:26,195 So Uma, lab grown meat brings to mind 66 00:05:26,238 --> 00:05:30,547 Frankenfood, playing with nature. 67 00:05:30,591 --> 00:05:33,637 All of this kind of stuff take us through the process 68 00:05:33,681 --> 00:05:36,814 of how you grow meat in your labs. 69 00:05:36,858 --> 00:05:40,862 Yes, so let me just preface this by saying we are not calling 70 00:05:40,905 --> 00:05:42,472 this lab grown meat because there is 71 00:05:42,516 --> 00:05:44,561 confusion out there that 'are you 72 00:05:44,605 --> 00:05:47,216 making this from plant proteins?' 73 00:05:47,259 --> 00:05:48,739 'Are you synthesizing something?' 74 00:05:49,218 --> 00:05:51,525 What is this? This is authentic meat. 75 00:05:51,916 --> 00:05:54,354 But when you say it's authentic meat 76 00:05:54,397 --> 00:05:57,487 I just beg to differ with you, maybe. 77 00:05:57,531 --> 00:06:00,708 Just correct me if I'm wrong you are engineering it. 78 00:06:00,751 --> 00:06:02,710 It's not. It's not completely 79 00:06:02,753 --> 00:06:04,842 natural, if you will? 80 00:06:04,886 --> 00:06:07,105 So we take cells 81 00:06:07,715 --> 00:06:11,022 from whether it's a cow, a pig or a chicken 82 00:06:11,066 --> 00:06:13,155 then we provide them with rich nutrients 83 00:06:13,547 --> 00:06:16,114 these cells grow and become meat tissue. 84 00:06:16,158 --> 00:06:18,508 So that's the process of making the meat and... 85 00:06:18,552 --> 00:06:23,034 Okay, okay. But I want you to explain what's happening here. 86 00:06:23,078 --> 00:06:25,080 I mean, are you basically cloning meat? 87 00:06:25,123 --> 00:06:26,734 Right? Is that what you're doing? 88 00:06:26,777 --> 00:06:29,389 So we are not cloning anything. 89 00:06:29,432 --> 00:06:32,130 We are growing these cells. So these cells are growing 90 00:06:32,174 --> 00:06:33,523 and becoming muscle tissue. 91 00:06:33,567 --> 00:06:35,090 Look, we are pioneers in this area. 92 00:06:35,133 --> 00:06:37,788 We're starting this on the commercial side, 93 00:06:37,832 --> 00:06:41,444 But, it's so funny, like you have to change 94 00:06:41,488 --> 00:06:44,229 your thinking and your vocabulary to even discuss the subject. 95 00:06:44,273 --> 00:06:47,798 It's just such an odd new concept 96 00:06:48,799 --> 00:06:49,974 This is a real mind blower. 97 00:06:50,018 --> 00:06:51,454 This is a huge shift. 98 00:06:51,498 --> 00:06:53,587 I would like to be an investor 99 00:06:53,630 --> 00:06:55,719 because I have a feeling this might be 100 00:06:55,763 --> 00:06:58,766 one of the biggest ideas in the history of the world. 101 00:07:02,291 --> 00:07:06,164 So we literally moved into the space about four and a half weeks ago. 102 00:07:06,600 --> 00:07:09,167 You know it will take another four to six weeks 103 00:07:09,211 --> 00:07:12,257 to get this place up and running and that creates a sense of 104 00:07:12,301 --> 00:07:15,565 restlessness in me and Nick and you know everybody 105 00:07:15,609 --> 00:07:18,916 on our team because, you know we want to get going like yesterday 106 00:07:22,311 --> 00:07:24,313 I know eventually the speed at which 107 00:07:24,356 --> 00:07:26,358 we can come to the market is going to be 108 00:07:26,402 --> 00:07:29,666 a function of funding and I think it's our goal 109 00:07:29,710 --> 00:07:34,802 to keep printing when we can, take brief periods of rest 110 00:07:34,845 --> 00:07:36,586 and then start printing again. 111 00:07:36,630 --> 00:07:38,501 So operations update. 112 00:07:38,545 --> 00:07:40,808 Right? This is the key for us. The focus for April will be 113 00:07:40,851 --> 00:07:42,810 for all of us is to get up and running. 114 00:07:42,853 --> 00:07:44,289 And I'm thinking we should 115 00:07:44,333 --> 00:07:46,944 look at the farm, the large equipment 116 00:07:46,988 --> 00:07:48,598 or the small equipment, and 117 00:07:48,642 --> 00:07:51,645 you know what you have in terms of timelines for those. 118 00:07:51,688 --> 00:07:54,778 There will be lots of, you know, challenges we have. 119 00:07:54,822 --> 00:07:56,476 Of course, there are challenges. 120 00:07:56,519 --> 00:07:58,869 It's never been done in the history of the world. 121 00:07:58,913 --> 00:08:00,958 But I think we are taking the first step 122 00:08:01,002 --> 00:08:03,483 and I think this first step is going to have lots 123 00:08:03,526 --> 00:08:05,528 and lots of people also join us in that step 124 00:08:05,572 --> 00:08:09,663 and we feel like we're going to kick start a revolution. 125 00:08:30,205 --> 00:08:32,163 I have always had an interest in my social justice issues, 126 00:08:32,207 --> 00:08:34,514 environmental justice issues. 127 00:08:34,557 --> 00:08:36,559 Pretty much my whole life all I wanted to do was be a chef 128 00:08:36,603 --> 00:08:38,169 and I wanted to focus on meat. 129 00:08:38,213 --> 00:08:39,519 About half way through college 130 00:08:39,562 --> 00:08:40,998 and I was like, no more basketball. 131 00:08:41,042 --> 00:08:44,001 I need a career. I love science, I always have. 132 00:08:44,045 --> 00:08:45,568 What I get really excited about 133 00:08:45,612 --> 00:08:47,744 is engineering biology. 134 00:08:47,788 --> 00:08:50,921 So my training is in biomedical engineering. 135 00:08:50,965 --> 00:08:52,096 I was actually a tissue engineer. 136 00:08:53,576 --> 00:08:55,186 I learned about some of the animal welfare implications 137 00:08:55,230 --> 00:08:58,102 of animal agriculture, and that was kind of what did it for me. 138 00:08:58,146 --> 00:08:59,669 I learned a lot about factory farming 139 00:08:59,713 --> 00:09:01,845 and the conditions that animals are kept in. 140 00:09:01,889 --> 00:09:03,847 The impact it has on the environment that I just had no idea about. 141 00:09:03,891 --> 00:09:05,675 I took an urban agriculture class 142 00:09:05,719 --> 00:09:08,199 that really opened my eyes to what we were doing to the planet 143 00:09:08,243 --> 00:09:09,679 just by feeding ourselves 144 00:09:09,723 --> 00:09:11,289 At first, I actually thought it was 145 00:09:11,333 --> 00:09:14,205 kind of strange because I had been very ingrained 146 00:09:14,249 --> 00:09:15,685 in the medical applications, 147 00:09:15,729 --> 00:09:17,557 and then I started reading more about it. 148 00:09:17,600 --> 00:09:20,124 Uma Valeti wanders across my Facebook feed with a meatball. 149 00:09:20,168 --> 00:09:24,738 My brain exploded and I was like, 'I have to talk to these people'. 150 00:09:24,781 --> 00:09:26,478 Yeah, it's like I got to be a part of this. 151 00:09:26,522 --> 00:09:28,045 Like I have the skills. 152 00:09:28,089 --> 00:09:29,307 Assert yourself and it will happen. 153 00:09:29,351 --> 00:09:31,571 Basically. Pretty much. 154 00:09:31,614 --> 00:09:34,312 I thought this could be a really great way to change the world 155 00:09:34,356 --> 00:09:36,619 and incorporate my love of science, 156 00:09:36,663 --> 00:09:39,143 but also my desire to make cool stuff. 157 00:09:41,624 --> 00:09:44,279 That's kind of my story of way, why and how I got here. 158 00:09:57,553 --> 00:09:59,947 So these are the samples of live tissue. 159 00:10:05,561 --> 00:10:09,130 Billions of cells in this tiny portion right here. 160 00:10:14,048 --> 00:10:17,529 These ones are called punch biopsies, where a large needle 161 00:10:17,573 --> 00:10:19,619 essentially is inserted in the animal 162 00:10:19,662 --> 00:10:22,143 and takes out a small cylinder of tissue. 163 00:10:24,058 --> 00:10:25,625 The taste, texture and flavor of meat 164 00:10:25,668 --> 00:10:27,627 is a combination of manufacturers. 165 00:10:27,670 --> 00:10:30,020 It's not just muscle cells, it's fats. 166 00:10:30,368 --> 00:10:32,109 It's connective tissues. 167 00:10:32,153 --> 00:10:35,373 It's all sorts of things. And we're taking those small 168 00:10:35,417 --> 00:10:39,116 samples of meat or tissue apart so we can better understand 169 00:10:39,160 --> 00:10:43,425 the different components and use that to build our product. 170 00:10:46,167 --> 00:10:48,473 These are very precious biological samples 171 00:10:48,517 --> 00:10:50,519 which are going to give us huge insights 172 00:10:50,562 --> 00:10:52,173 into the biology of the animals. 173 00:10:52,216 --> 00:10:54,131 And these are stem cells sources 174 00:10:54,175 --> 00:10:55,480 for future products. 175 00:10:55,524 --> 00:10:56,743 These small tissue samples 176 00:10:57,352 --> 00:10:59,615 will produce extremely large amounts of meat. 177 00:11:03,532 --> 00:11:06,187 Traditionally in tissue culture, 178 00:11:06,230 --> 00:11:09,407 one of the elements of the food that you're giving the cells 179 00:11:09,712 --> 00:11:11,366 is fetal bovine serum. 180 00:11:12,715 --> 00:11:14,804 If you start with fetal calf serum, 181 00:11:14,848 --> 00:11:17,589 essentially, you're starting with this perfect 182 00:11:17,633 --> 00:11:21,811 rich broth of awesome stuff that is designed 183 00:11:21,855 --> 00:11:23,813 to make things grow and thrive. 184 00:11:23,857 --> 00:11:26,033 But one of the scientific goals 185 00:11:26,076 --> 00:11:29,993 of the company right now is to eliminate any animal 186 00:11:30,037 --> 00:11:32,866 derived product from our process as soon as possible. 187 00:11:33,214 --> 00:11:38,393 We want to separate the animal from meat making. 188 00:11:44,965 --> 00:11:50,622 To develop a consistent media with no animal derived 189 00:11:50,666 --> 00:11:56,454 components in which our cells could thrive at a large scale. 190 00:11:56,498 --> 00:11:59,196 That would definitely be a... 191 00:11:59,240 --> 00:12:01,459 really great moment for our company. 192 00:12:01,503 --> 00:12:04,419 It would probably be a while before we announced that that had happened. 193 00:12:04,462 --> 00:12:06,900 because you want there to be a lot of internal validation. 194 00:12:10,642 --> 00:12:13,733 There are all these systems that animals have been building up 195 00:12:13,776 --> 00:12:15,604 through millions of years of evolution 196 00:12:17,084 --> 00:12:20,304 and that includes a digestive system and an immune system. 197 00:12:20,348 --> 00:12:24,308 So in some ways, cellular agriculture is more simple 198 00:12:24,352 --> 00:12:27,398 because you're just focusing on this one part of the animal. 199 00:12:27,442 --> 00:12:30,401 Instead of saying, you know, all I want is the Tenderloin. 200 00:12:30,445 --> 00:12:33,143 But I have to grow the liver, too but it's also a little 201 00:12:33,187 --> 00:12:34,928 bit more complicated because you need to 202 00:12:34,971 --> 00:12:37,626 engineer these systems to protect the cells. 203 00:12:37,669 --> 00:12:39,933 And you know, engineer sounds like a big word, 204 00:12:39,976 --> 00:12:42,631 but it's just like figuring out what's the best fence 205 00:12:42,674 --> 00:12:44,764 to keep the cow in but keep the wolf out? 206 00:12:44,807 --> 00:12:47,897 except kind of in a more a, more modern environment. 207 00:12:47,941 --> 00:12:49,420 It's what's the best fence 208 00:12:49,464 --> 00:12:52,119 to keep the bacteria out of our cells 209 00:12:52,162 --> 00:12:55,905 but keep the cells healthy without using antibiotics 210 00:12:55,949 --> 00:12:58,125 because that's a major concern with current animal agriculture. 211 00:13:03,043 --> 00:13:06,698 The whole goal here is to make cells exist 212 00:13:06,742 --> 00:13:08,309 in a bioreactor. 213 00:13:09,179 --> 00:13:10,790 So it's like what you 214 00:13:10,833 --> 00:13:14,576 would grow yeast in if you were making beer. 215 00:13:15,316 --> 00:13:16,796 So we're going to take cells 216 00:13:17,144 --> 00:13:19,711 and put them in an artificial environment 217 00:13:19,755 --> 00:13:21,713 so that they can grow and proliferate. 218 00:13:35,553 --> 00:13:40,384 There are known ways of producing animal muscle 219 00:13:40,732 --> 00:13:42,256 in a laboratory. 220 00:13:42,517 --> 00:13:45,737 The science is established and lots of people have studied it. 221 00:13:50,046 --> 00:13:52,657 What we're looking at is chicken, 222 00:13:52,701 --> 00:13:54,834 the sort of structure, the typical structure 223 00:13:54,877 --> 00:13:55,878 of chicken. 224 00:13:58,185 --> 00:14:02,363 I am still blown away by how complex the tissue itself is. 225 00:14:06,280 --> 00:14:08,891 All poultry is very similar and these are very early 226 00:14:08,935 --> 00:14:11,241 in the process, so they haven't completed anything yet. 227 00:14:11,894 --> 00:14:14,723 But you can see it's starting to adopt this sort of... 228 00:14:14,766 --> 00:14:16,507 it looks like a Van Gogh like "Starry Night". 229 00:14:16,551 --> 00:14:18,422 The muscle fibers are trying to align 230 00:14:21,208 --> 00:14:22,731 and form these beautiful tendrils. 231 00:14:27,127 --> 00:14:29,433 This is a huge, huge paradigm shift. 232 00:14:31,435 --> 00:14:37,528 This meat production depends on the division cycle of the cell 233 00:14:37,572 --> 00:14:42,098 rather than the reproductive cycle of the animal. 234 00:14:46,059 --> 00:14:49,366 This was a goal that for many years I sought out, 235 00:14:49,410 --> 00:14:51,934 but there were no like-minded individuals or resources 236 00:14:51,978 --> 00:14:53,153 to support this goal. 237 00:14:54,589 --> 00:14:57,331 Uma was very passionate, 238 00:14:57,809 --> 00:15:02,423 and we both took a leap of faith 239 00:15:02,989 --> 00:15:05,252 and decided to start a company. 240 00:15:05,992 --> 00:15:09,604 And use our complimentary areas of expertise. 241 00:15:10,953 --> 00:15:15,827 You know his business in administrative expertise 242 00:15:15,871 --> 00:15:17,612 and my scientific expertise 243 00:15:19,266 --> 00:15:22,095 driven by the same mission, the same motivation. 244 00:15:27,100 --> 00:15:30,320 You know, personally growing up in a family farm, 245 00:15:30,364 --> 00:15:32,714 I would raise the animals 246 00:15:33,454 --> 00:15:37,588 and they looked up to me for their care and their protection. 247 00:15:37,632 --> 00:15:40,983 I was their guardian. And as their guardian, 248 00:15:41,027 --> 00:15:44,334 I sent them to auction... I sent them to auction, 249 00:15:44,378 --> 00:15:46,206 and I sent them to slaughter. 250 00:15:47,120 --> 00:15:54,170 And this... after doing this for a couple of years, 251 00:15:54,649 --> 00:15:57,217 I realized this is a problem. 252 00:15:58,653 --> 00:16:02,962 So I wanted to be part of that solution. 253 00:16:07,227 --> 00:16:09,881 So this is a conventional beef from a local store 254 00:16:09,925 --> 00:16:11,840 to compare against our product. 255 00:16:19,500 --> 00:16:21,458 We want to make sure that whatever we're giving 256 00:16:21,502 --> 00:16:24,548 to consumers is the same as what they're used to. 257 00:16:24,592 --> 00:16:26,028 And when they get it in their hands 258 00:16:26,072 --> 00:16:27,508 that it will behave just the same. 259 00:16:27,899 --> 00:16:32,034 And so I am today looking at cooking loss. 260 00:16:32,078 --> 00:16:33,862 I want to make sure that the moisture loss is the same. 261 00:16:33,905 --> 00:16:36,996 Fat loss is the same. It needs to behave like 262 00:16:37,039 --> 00:16:39,520 functionally as close as possible. 263 00:16:40,912 --> 00:16:42,349 Going up to puncture it. 264 00:16:44,133 --> 00:16:46,309 - I guess that's why-- - I got 185 on this, so... 265 00:16:46,353 --> 00:16:48,398 The meat industry knows 266 00:16:48,442 --> 00:16:49,878 that they can't meet the demand of the people 267 00:16:50,357 --> 00:16:52,228 And if the demand for meat 268 00:16:52,272 --> 00:16:54,013 is going to double by 2050, 269 00:16:54,056 --> 00:16:57,059 there is just no method of production 270 00:16:57,103 --> 00:16:59,148 that they have at their disposal now 271 00:16:59,192 --> 00:17:01,542 that will satisfy that hunger for meat. 272 00:17:03,544 --> 00:17:04,849 There just isn't. 273 00:19:09,496 --> 00:19:11,367 Uma would you just take your hands 274 00:19:11,411 --> 00:19:12,890 and clap them in front of your face like that? 275 00:19:13,239 --> 00:19:15,328 - Okay, everybody's standing? - Yup. 276 00:19:15,589 --> 00:19:16,938 Okay. Any time, Uma. 277 00:19:18,505 --> 00:19:21,377 So March 14th, 2017. That is today, team. 278 00:19:21,856 --> 00:19:25,512 We are here to do something that has never happened 279 00:19:25,555 --> 00:19:27,340 in the history of humanity. 280 00:19:27,383 --> 00:19:28,645 Thank you, guys. Thank you for being here. 281 00:19:28,689 --> 00:19:30,038 Here we go! Ready? 282 00:19:30,081 --> 00:19:31,518 Let's rock! 283 00:19:34,085 --> 00:19:35,609 Whenever you're ready. 284 00:19:36,218 --> 00:19:39,047 All right, are we ready for the cook off? 285 00:19:45,619 --> 00:19:46,968 What's that? 286 00:19:49,100 --> 00:19:50,406 Right there? You see that? 287 00:19:54,367 --> 00:19:56,586 Who touched that? 288 00:19:56,630 --> 00:19:59,198 Let's just get the ingredients shouted out if you would? 289 00:20:00,895 --> 00:20:02,592 In terms of technical breakthroughs 290 00:20:02,636 --> 00:20:04,855 that allowed us to do what we did over the last year 291 00:20:04,899 --> 00:20:09,251 we had a few substantial, isolated breakthroughs, 292 00:20:09,295 --> 00:20:12,385 so one of the things that was more relevant to the poultry 293 00:20:12,428 --> 00:20:16,693 is starting to have texture, because the meatball, 294 00:20:16,737 --> 00:20:19,218 there was a texture, but not the types of texture 295 00:20:19,261 --> 00:20:22,221 we had with poultry, where we could have 296 00:20:22,264 --> 00:20:25,963 very clearly fibers that you could see in there. 297 00:20:26,007 --> 00:20:28,618 Fiberosity starting to have three-dimensional nature 298 00:20:28,662 --> 00:20:30,272 to the meat that we're producing. 299 00:20:50,423 --> 00:20:54,078 August 23rd, 2017 we announced the closing 300 00:20:54,122 --> 00:20:56,255 of a major round of financing 301 00:21:03,218 --> 00:21:08,092 We were able to put together a group of investors 302 00:21:08,136 --> 00:21:11,095 that really care about what we're doing, 303 00:21:11,139 --> 00:21:14,098 and it includes impact investors, 304 00:21:14,142 --> 00:21:17,754 but it also includes the meat industry incumbents. 305 00:21:22,846 --> 00:21:25,022 So it's all about sustainability. 306 00:21:25,066 --> 00:21:27,503 It's about, call it "clean meat", if you will? 307 00:21:27,547 --> 00:21:30,593 It's not going to replace the consumption of beef 308 00:21:30,637 --> 00:21:34,597 or chicken or duck overnight but nonetheless it's a way 309 00:21:34,641 --> 00:21:36,686 to produce meat in a different alternative 310 00:21:36,730 --> 00:21:38,819 that isn't as resource intensive. 311 00:21:39,820 --> 00:21:43,476 Memphis Meats has raised a total of $22 million 312 00:21:43,519 --> 00:21:45,434 which signals a commitment 313 00:21:45,478 --> 00:21:47,610 to the "clean meat" movement. 314 00:21:47,654 --> 00:21:50,134 Which other companies are working on as well, 315 00:21:50,178 --> 00:21:52,311 including Tyson, which is one of the 316 00:21:52,354 --> 00:21:56,010 largest chicken suppliers in the United States. 317 00:22:21,296 --> 00:22:24,430 So here we are in the epicenter of venture capital. 318 00:22:27,041 --> 00:22:30,566 We have invested about $4 billion. 319 00:22:31,959 --> 00:22:38,574 Companies like Skype, Hotmail, Baidu, Tesla, Twitter, Twilio. 320 00:22:40,097 --> 00:22:41,925 There's a long list we've had, I think 321 00:22:41,969 --> 00:22:44,363 28 companies that have exited with 322 00:22:44,406 --> 00:22:45,886 over $1 billion valuation 323 00:22:46,756 --> 00:22:48,584 and certainly food is a huge area, 324 00:22:48,628 --> 00:22:51,370 certainly a big market, and there's a lot of change 325 00:22:51,413 --> 00:22:55,112 going on with technologies with respect to the production 326 00:22:55,156 --> 00:22:57,724 and distribution of food. And then there are also 327 00:22:57,767 --> 00:23:00,596 changing consumer behaviors and changing consumer taste. 328 00:23:02,555 --> 00:23:04,774 And Memphis was really special 329 00:23:06,254 --> 00:23:08,343 The timing felt right. 330 00:23:10,824 --> 00:23:14,523 So we, you know, DFJ led the series. 331 00:23:14,567 --> 00:23:16,699 Memphis Meats was in the enviable position 332 00:23:16,743 --> 00:23:18,266 of having more money 333 00:23:18,309 --> 00:23:20,747 coming at it than it wanted to take. 334 00:23:20,790 --> 00:23:24,446 So it was an interesting dance to... 335 00:23:24,490 --> 00:23:27,971 For example consider, do you want strategic investors? 336 00:23:28,015 --> 00:23:31,540 So investors who themselves are in the meat industry. 337 00:23:31,584 --> 00:23:33,455 What are the pros and cons of that? 338 00:23:33,499 --> 00:23:36,415 What would that say about us? What kind of restrictions 339 00:23:36,458 --> 00:23:38,155 might they put on us in order to do that? 340 00:23:38,199 --> 00:23:40,636 So, you know, we ultimately ended up with both Tyson's 341 00:23:40,680 --> 00:23:43,639 and Cargill as investors, and they've been wonderful partners. 342 00:23:43,683 --> 00:23:46,337 And they've been really helpful in various ways, 343 00:23:46,381 --> 00:23:48,644 such as understanding some of the regulatory environment. 344 00:24:00,395 --> 00:24:02,484 Hey. 345 00:24:16,498 --> 00:24:19,806 I don't think 110 pounds of dry ice is going to be enough. 346 00:24:21,547 --> 00:24:23,636 Now we just gotta move them. 347 00:24:26,552 --> 00:24:29,468 We currently occupy about this much space. 348 00:24:30,338 --> 00:24:32,427 - Yeah. - We're getting this much space 349 00:24:32,645 --> 00:24:34,864 which is 17,500 square feet. 350 00:24:34,908 --> 00:24:36,692 We have these two rooms 351 00:24:36,736 --> 00:24:39,173 that are functional cold rooms. And then the process development 352 00:24:39,216 --> 00:24:42,002 space over here, where we define the right conditions to 353 00:24:42,263 --> 00:24:48,530 grow the cells into functional meat tissues all of that space 354 00:24:48,574 --> 00:24:50,663 is here and then leads right into the kitchen space. 355 00:25:07,418 --> 00:25:09,812 We're going to build up the process to allow us 356 00:25:09,856 --> 00:25:12,815 to make scalable large quantities of meat. 357 00:25:12,859 --> 00:25:17,254 We can do this at small scale now, but to scale that up 358 00:25:17,298 --> 00:25:20,170 is going to be one of the really, really big challenges. 359 00:25:20,214 --> 00:25:22,521 Yeah, if you just wanna throw it in that small room... 360 00:25:22,564 --> 00:25:24,348 The scale for food production, 361 00:25:24,392 --> 00:25:26,525 the more we dig into this and think about it, 362 00:25:27,569 --> 00:25:30,050 it's unfathomable. It's so large. 363 00:25:31,094 --> 00:25:34,010 And so, I have this analogy that I say, 364 00:25:34,054 --> 00:25:37,187 if San Francisco is roughly a million people 365 00:25:37,231 --> 00:25:39,581 and if every person had one burger a week, 366 00:25:39,625 --> 00:25:42,279 which is like a quarter of a pound, then in a month 367 00:25:42,323 --> 00:25:43,585 they would each eat a pound, 368 00:25:43,629 --> 00:25:45,544 which is 12 million pounds a year. 369 00:25:46,153 --> 00:25:49,199 And so to feed everyone in San Francisco, 370 00:25:49,243 --> 00:25:52,028 one burger a week, 12 million pounds a year, 371 00:25:52,072 --> 00:25:54,204 if we make meat 50 weeks a year, 372 00:25:54,248 --> 00:25:58,382 that's two 240,000 pounds every week, 373 00:25:58,426 --> 00:26:01,081 which is approximately the size of a blue whale. 374 00:26:01,995 --> 00:26:05,302 And so every week, week after week after week, 375 00:26:05,346 --> 00:26:08,567 for San Francisco, it's a blue whale. 376 00:26:10,656 --> 00:26:12,701 Anyone have a marker, or a Sharpie? 377 00:26:12,745 --> 00:26:14,573 - All right, here. - We want our present. 378 00:26:14,616 --> 00:26:16,052 - You want your present? - A housewarming gift. 379 00:26:16,096 --> 00:26:17,663 All right, let me get the gift. 380 00:26:18,272 --> 00:26:20,448 One of the most important milestones you guys have, 381 00:26:20,491 --> 00:26:22,319 at least one of the ways we think about it, 382 00:26:22,363 --> 00:26:27,237 is price per pound, which is kind of a singular 383 00:26:27,281 --> 00:26:29,326 thing that over time, presumably, 384 00:26:29,370 --> 00:26:32,895 will continue to go down. So I went home last night 385 00:26:32,939 --> 00:26:36,595 and I made you this little sign as an office warming gift. 386 00:26:36,638 --> 00:26:40,642 So it's like a little old grocery store sign and it says 387 00:26:40,686 --> 00:26:44,080 "Memphis Meats, today's price". 388 00:26:45,952 --> 00:26:48,084 And it's out of glass, because this is my hobby, I make glass. 389 00:26:48,128 --> 00:26:50,434 So you want to write in todays' price? 390 00:26:50,478 --> 00:26:52,306 - Go ahead, Nick. - Do it. 391 00:26:55,396 --> 00:26:57,093 Do we need to consult on this? 392 00:26:57,137 --> 00:26:59,705 - No, Go for it. - Go for it! 393 00:27:00,401 --> 00:27:03,056 See if it matches what I saw in the deck yesterday 394 00:27:07,495 --> 00:27:10,977 All right, just a little ways to go 395 00:27:12,848 --> 00:27:15,372 We had a couple of extra 0's next to it when we started. 396 00:27:15,416 --> 00:27:17,505 I know, I know, this is already progress. 397 00:27:17,548 --> 00:27:19,768 Maybe three zeros next to it. 398 00:27:19,812 --> 00:27:21,291 Like I said, if we keep on at the same rate, we'll be there in no time. 399 00:27:21,335 --> 00:27:24,338 Okay, so February 16th, 2018. 400 00:27:24,686 --> 00:27:27,384 The last harvest of meat at Memphis Meats 401 00:27:27,428 --> 00:27:28,995 was $1,700 a pound 402 00:27:30,605 --> 00:27:33,652 - That was beef. - Beef. Yes, yes. 403 00:27:36,002 --> 00:27:39,483 Day one in the new building is always extra exciting. 404 00:27:48,536 --> 00:27:50,146 I'm filled with gratitude. 405 00:27:50,190 --> 00:27:52,192 I've always said I'm here because of my family 406 00:27:52,758 --> 00:27:56,065 Then it started up with Nick and I joining here. 407 00:27:56,109 --> 00:27:57,850 Now, this is our extended family, 408 00:27:57,893 --> 00:27:59,547 and I want to really thank you very much. 409 00:28:00,113 --> 00:28:02,506 I raise a glass for better meat, better world. 410 00:28:02,550 --> 00:28:03,594 Cheers. 411 00:28:09,209 --> 00:28:11,733 I haven't been here since 2012. 412 00:28:11,777 --> 00:28:13,561 Yeah, we've been in this business for a very long time. 413 00:28:13,604 --> 00:28:15,694 I mean this company's so diverse. 414 00:28:15,737 --> 00:28:17,434 You were still practicing as a cardiologist then. 415 00:28:19,872 --> 00:28:22,178 That seems like eons ago. 416 00:28:25,399 --> 00:28:26,574 Hello? 417 00:28:39,805 --> 00:28:42,111 Uma's talked about this idea of growing meat 418 00:28:42,155 --> 00:28:45,898 for as long as I've known him which is almost 25 years. 419 00:28:46,681 --> 00:28:50,337 He's talked about this in some form or another. 420 00:28:52,513 --> 00:28:56,778 It's among the values that we talk about as a family. 421 00:29:04,003 --> 00:29:05,961 - Mm, thanks. - Yeah. 422 00:29:23,283 --> 00:29:26,155 He spent a lot of time thinking about it 423 00:29:26,199 --> 00:29:28,810 and one thing you know is that when 424 00:29:28,854 --> 00:29:30,420 you have a desire like that, 425 00:29:30,464 --> 00:29:32,771 it doesn't go away with ignoring it. 426 00:29:32,814 --> 00:29:35,382 It only grows, especially when you know it's meant to be 427 00:29:42,563 --> 00:29:45,914 The only process that we are changing is one step. 428 00:29:45,958 --> 00:29:47,611 Instead of these cells growing in an animal, 429 00:29:47,655 --> 00:29:49,700 we are growing them outside the animal. 430 00:29:49,744 --> 00:29:52,573 Meat is still the same meat, and we're harvesting it. 431 00:29:56,359 --> 00:29:58,318 The idea was to go to the U.S. 432 00:29:58,579 --> 00:30:02,539 wanting to do cardiology and cardiac surgery at Mayo, and I had a number 433 00:30:02,583 --> 00:30:05,629 of interviews at Mayo Clinic but my visa got rejected multiple times. 434 00:30:05,673 --> 00:30:08,850 So, back then when your visa was rejected, 435 00:30:08,894 --> 00:30:11,810 you could try, I think three times in total. 436 00:30:12,332 --> 00:30:16,466 And I believe I got rejected three times. 437 00:30:16,510 --> 00:30:19,687 Any reason why they give you? Why they rejected you? 438 00:30:20,035 --> 00:30:22,951 No, I mean, it was hard to know. 439 00:30:22,995 --> 00:30:24,648 I think I went well prepared. 440 00:30:24,692 --> 00:30:25,998 Okay. 441 00:30:26,041 --> 00:30:27,695 But it was all over in a few seconds 442 00:30:27,738 --> 00:30:30,959 and there was really no explanation. 443 00:30:31,003 --> 00:30:33,222 So it was at that time I thought 444 00:30:33,266 --> 00:30:35,834 the world was turned upside down and it was a shade of shock 445 00:30:36,922 --> 00:30:39,141 because I pretty much thought this is where I would train. 446 00:30:39,185 --> 00:30:41,752 But then you go into solutions more than they decided 447 00:30:41,796 --> 00:30:46,018 that I would go to Jamaica and work there for a while 448 00:30:46,061 --> 00:30:48,890 and reapply to go to the U.S. to train again. 449 00:30:49,282 --> 00:30:51,980 So that started my journey to leave India. 450 00:30:52,024 --> 00:30:53,199 But... 451 00:30:54,026 --> 00:30:55,244 If I didn't get those rejections, 452 00:30:55,288 --> 00:30:56,463 I wouldn't have gone to Jamaica. 453 00:30:57,986 --> 00:30:59,596 And if I didn't go there, I wouldn't have met my wife 454 00:31:01,947 --> 00:31:04,688 Oh, can you tell me the moment when it took that big leap of faith? 455 00:31:04,732 --> 00:31:08,388 You know, your journey from cardiology to business? 456 00:31:09,780 --> 00:31:13,219 As I started working in cardiology at the Mayo Clinic 457 00:31:14,960 --> 00:31:18,528 That's when stem cell research was really being worked on 458 00:31:18,572 --> 00:31:21,096 to grow heart muscle and I started to think about 459 00:31:21,140 --> 00:31:23,751 how could we translate the benefits of stem cells 460 00:31:23,794 --> 00:31:26,754 into treating disease and later on 461 00:31:26,797 --> 00:31:30,062 in my practice, I was injecting stem cells into patients' hearts 462 00:31:30,105 --> 00:31:32,629 do regrow heart muscle, and that's where the idea came from. 463 00:31:33,761 --> 00:31:35,197 I started thinking about 464 00:31:35,241 --> 00:31:38,897 if I practice cardiology for another 30 years 465 00:31:38,940 --> 00:31:40,681 I would probably save two or three thousand lives, 466 00:31:41,247 --> 00:31:45,904 But there is very little in the form of any idea 467 00:31:45,947 --> 00:31:48,210 that even comes close to the level of impact 468 00:31:48,254 --> 00:31:51,518 of what this could be impact on billions of human lives 469 00:31:51,779 --> 00:31:53,737 and trillions of animal lives. 470 00:31:53,781 --> 00:31:56,958 And it felt like it was not even close to 471 00:31:57,611 --> 00:31:59,265 the choice of me continuing cardiology. 472 00:31:59,308 --> 00:32:01,528 Although it was enormously satisfying. 473 00:32:03,443 --> 00:32:05,662 I felt good about leaving cardiology 474 00:32:05,706 --> 00:32:07,229 and starting something that had 475 00:32:07,273 --> 00:32:08,317 a transformative impact. 476 00:32:26,031 --> 00:32:27,989 I would say coming to India 477 00:32:28,033 --> 00:32:31,079 it feels like connecting back with the roots 478 00:32:31,123 --> 00:32:32,863 of where the idea came from. 479 00:32:43,483 --> 00:32:46,616 When I was twelve years old, there was a party 480 00:32:46,660 --> 00:32:47,966 for one of my friends in this neighborhood. 481 00:32:49,489 --> 00:32:50,794 There was a birthday party. There was a lot of people. 482 00:32:50,838 --> 00:32:55,234 He was like dancing, and there was a lot of food 483 00:32:56,322 --> 00:32:58,933 and I just happened to walk to the back of the home 484 00:32:59,499 --> 00:33:01,022 where they were making the food 485 00:33:02,719 --> 00:33:06,201 where I saw the animals, chickens, being slaughtered. 486 00:33:09,030 --> 00:33:11,902 It was an experience where I saw intense 487 00:33:11,946 --> 00:33:14,731 and, you know, true happiness in the front of the home 488 00:33:14,775 --> 00:33:16,690 where they were celebrating my friend's birthday. 489 00:33:16,733 --> 00:33:20,563 And then I walked back. And then there was this moment 490 00:33:20,955 --> 00:33:22,870 where that happiness is being supported 491 00:33:22,913 --> 00:33:24,915 by ending life, and that was very hard for me and... 492 00:33:26,091 --> 00:33:28,876 It was just this feeling in me that how, as humans, 493 00:33:28,919 --> 00:33:30,878 we were incredibly capable of having 494 00:33:30,921 --> 00:33:32,314 a lot of joy, fun, generosity. 495 00:33:32,358 --> 00:33:33,881 And on the other side, there was 496 00:33:33,924 --> 00:33:36,536 this dark reality of you know, ending life. 497 00:33:37,928 --> 00:33:41,062 There was a birthday on one side and there was a death day on the other side. 498 00:33:41,106 --> 00:33:42,890 and it was happening at the same time. 499 00:33:44,979 --> 00:33:46,763 Obviously, as a kid, I thought, 500 00:33:46,807 --> 00:33:48,287 Why don't we all stop eating meat? 501 00:33:48,896 --> 00:33:51,942 And that is a solution that is on the table always. 502 00:33:59,907 --> 00:34:01,517 What I thought I would do today 503 00:34:01,561 --> 00:34:05,086 is talk to you about the stages in my life. 504 00:34:05,739 --> 00:34:10,004 I want to talk about the four kilometer circle I grew up in. 505 00:34:11,484 --> 00:34:13,442 But some of the things that happened in my life, 506 00:34:13,486 --> 00:34:15,270 the experiences 507 00:34:15,314 --> 00:34:18,708 and the stories that shaped who I am, I'm going to talk 508 00:34:18,752 --> 00:34:21,407 about my progression from being a kid 509 00:34:21,450 --> 00:34:25,672 walking the streets here to what brings me back here today. 510 00:35:17,463 --> 00:35:22,642 What I want is, out of 1,200 students, 511 00:35:23,469 --> 00:35:28,169 if two people get ignited and if two people reach 512 00:35:28,213 --> 00:35:32,608 the level of Shaker where he is that wonderful. That is our wish. 513 00:35:42,705 --> 00:35:44,533 Okay. Can you hear me okay? 514 00:35:48,494 --> 00:35:50,104 Thank you very much for having me. 515 00:35:51,888 --> 00:35:54,804 I feel like I'm still a 16-year-old 516 00:35:54,848 --> 00:35:59,069 seeing all of you in this room. So I want to talk to you guys. 517 00:36:00,854 --> 00:36:02,725 Vijayawada has autonomous schools. 518 00:36:02,769 --> 00:36:04,858 So we had to run our own cafeterias. 519 00:36:04,901 --> 00:36:06,990 Then we would go to the market shopping 520 00:36:07,034 --> 00:36:10,124 for, you know, a thousand kids and I saw a large scale slaughter. 521 00:36:10,690 --> 00:36:13,214 So when you see large scale slaughter like that 522 00:36:13,258 --> 00:36:16,348 that's automated on machines like in a few seconds, 523 00:36:16,391 --> 00:36:17,914 you know, hundreds of lives are taken. 524 00:36:18,524 --> 00:36:20,830 It was hard for me to understand 525 00:36:20,874 --> 00:36:22,745 how we could allow some things like that 526 00:36:23,355 --> 00:36:25,487 which at that point is when I said, okay, 527 00:36:25,531 --> 00:36:27,010 I am going to stop eating meat. 528 00:36:27,054 --> 00:36:28,882 But I love the taste of meat. 529 00:36:28,925 --> 00:36:30,405 It's not something that you want 530 00:36:30,449 --> 00:36:32,668 to give up easily, but it was one of 531 00:36:32,712 --> 00:36:34,235 those things I said, Well, let's just stop 532 00:36:34,279 --> 00:36:36,585 and I used to dream at that point, about, 533 00:36:36,629 --> 00:36:40,502 meat growing on trees, but that was pretty unusual 534 00:36:40,546 --> 00:36:42,287 to dream about meat trees. 535 00:36:43,244 --> 00:36:45,028 50 years from now 536 00:36:45,072 --> 00:36:47,422 people will look back and say, My gosh, you had to raise 537 00:36:47,466 --> 00:36:51,513 billions of animals, kill them to get meat to the table. 538 00:36:51,557 --> 00:36:52,949 Why could you not just grown it directly? 539 00:36:52,993 --> 00:36:54,908 So the implications are massive. 540 00:36:56,605 --> 00:36:59,260 I know. I've spoken for about 30 - 40 minutes. 541 00:36:59,304 --> 00:37:00,696 I want to kind of bring us back 542 00:37:00,740 --> 00:37:02,742 in the full circle back to this colony. 543 00:37:04,918 --> 00:37:07,790 I grew up in front of this building my entire life 544 00:37:07,834 --> 00:37:10,402 before I left Vijayawada I was in a four kilometer 545 00:37:10,445 --> 00:37:13,100 radius in this colony with a number of people 546 00:37:13,143 --> 00:37:19,541 that I finally remember as people that I depended on 547 00:37:19,585 --> 00:37:22,979 it's the relationships around me that made me pull through. 548 00:37:24,633 --> 00:37:27,636 My family, my friends, my teachers, my neighbors. 549 00:37:29,508 --> 00:37:30,770 Thank you again for having me. 550 00:37:30,813 --> 00:37:32,815 I'm happy to take some questions. 551 00:37:39,996 --> 00:37:41,694 - Hey. - Hey. 552 00:37:44,305 --> 00:37:47,569 Oh, Auntie Alanaru. Oh, I'm so happy to see you. 553 00:37:47,613 --> 00:37:48,962 Thank you. 554 00:37:51,834 --> 00:37:54,620 Yeah, so nice to see you. Thanks for coming. 555 00:38:06,980 --> 00:38:09,461 What? Do you want me to write on this, mom? 556 00:39:12,872 --> 00:39:16,223 The U.S. Cattleman's Association filed a petition 557 00:39:16,266 --> 00:39:18,051 with the U.S. Department of Agriculture 558 00:39:18,094 --> 00:39:23,099 asking for the USDA to change its policy book 559 00:39:23,143 --> 00:39:27,190 to define meat and beef in ways that make it impossible 560 00:39:27,234 --> 00:39:29,845 for clean meat to use those terms on their labels. 561 00:39:36,156 --> 00:39:38,550 Usually, when consumers pick up a package of beef 562 00:39:38,593 --> 00:39:40,116 in the grocery store, they expect it to be 563 00:39:40,160 --> 00:39:41,770 from the flesh of an animal harvested 564 00:39:41,814 --> 00:39:42,945 in the traditional manner. 565 00:39:50,083 --> 00:39:52,520 If you have these other products floating around on shelves 566 00:39:52,564 --> 00:39:56,959 and potentially being co-mingled with our products we see 567 00:39:57,003 --> 00:40:00,049 not only food safety concerns but obviously consumer's 568 00:40:00,093 --> 00:40:02,443 rights issues, because, everybody deserves to know 569 00:40:02,487 --> 00:40:04,053 where their food comes from. 570 00:40:04,097 --> 00:40:05,707 it should be more along 571 00:40:05,751 --> 00:40:10,320 the lines of alternative protein or, you know, specifying 572 00:40:10,364 --> 00:40:13,106 that it's coming from a muscular tissue sample. 573 00:40:13,628 --> 00:40:16,936 now is a make or break moment for clean meat. 574 00:40:16,979 --> 00:40:19,460 Is it going to be FDA or is it going to be USDA 575 00:40:19,504 --> 00:40:21,419 and whichever agency it is 576 00:40:21,462 --> 00:40:25,248 is it going to be a reasonable process for coming to market? 577 00:40:29,818 --> 00:40:31,777 So we started talking to the Meat Institute. 578 00:40:37,957 --> 00:40:41,569 And on August 23rd, 2018 we wrote a letter to the president. 579 00:40:50,491 --> 00:40:52,580 The letter was a culmination of lots of discussions. 580 00:40:52,624 --> 00:40:55,496 It took a lot of back and forth conversations. 581 00:41:28,094 --> 00:41:31,793 We, you know, we wouldn't have even dreamed of this 582 00:41:31,837 --> 00:41:33,534 a year ago or two years ago. 583 00:41:35,884 --> 00:41:38,539 I think the moment felt very surreal. 584 00:41:43,588 --> 00:41:45,372 And I also saw... 585 00:41:49,071 --> 00:41:52,771 enormous amounts of, you know, conflict within me. 586 00:41:53,859 --> 00:41:58,428 I can't imagine I am signing a letter with the largest meat 587 00:41:58,472 --> 00:42:00,387 trade association in the world. 588 00:42:03,216 --> 00:42:07,873 Felt like the right thing to do and this is signing my name behind it and saying 589 00:42:07,916 --> 00:42:13,705 we are going to truly bring everybody under this tent in saying 590 00:42:13,748 --> 00:42:16,534 this is a solution that the world is looking forward to. 591 00:42:23,889 --> 00:42:25,586 Using markets and food technology 592 00:42:25,630 --> 00:42:29,068 to solve problems? That's not a left or a right issue. 593 00:42:31,244 --> 00:42:32,854 There should be governments, 594 00:42:32,898 --> 00:42:34,726 there should be massive foundations, 595 00:42:34,769 --> 00:42:37,816 there should be billion dollar philanthropists. 596 00:42:41,123 --> 00:42:42,777 We need Manhattan projects. 597 00:42:42,821 --> 00:42:45,563 We need moon landings. We need absolute commitment 598 00:42:45,606 --> 00:42:48,087 to making this happen as quickly as possible. 599 00:42:57,270 --> 00:42:59,054 It is just true 600 00:42:59,098 --> 00:43:02,623 that the vast majority of people are not going to incorporate 601 00:43:02,667 --> 00:43:05,974 ethical considerations into their dietary choices 602 00:43:09,151 --> 00:43:13,242 So let's take ethics off the table and let's just create 603 00:43:13,286 --> 00:43:16,724 products that people want to buy because they are delicious 604 00:43:16,768 --> 00:43:19,901 they are reasonably priced and they are everywhere. 605 00:43:19,945 --> 00:43:22,512 So that's, you know, the brainstorm and the focus GFI. 606 00:43:23,862 --> 00:43:25,733 One of the things that GFI does 607 00:43:25,777 --> 00:43:29,650 is thinks about consumer acceptance issues 608 00:43:29,694 --> 00:43:33,175 and we just had so many people who would hear cultured meat 609 00:43:33,219 --> 00:43:34,655 and they would just sort of recoil. 610 00:43:34,699 --> 00:43:36,439 And obviously lab grown meat is even worse. 611 00:43:36,483 --> 00:43:38,354 In-vitro meat is even worse. 612 00:43:39,486 --> 00:43:43,490 And so we surveyed everybody in sort of the community 613 00:43:43,533 --> 00:43:46,145 of clean meet at the beginning of 2016. 614 00:43:46,188 --> 00:43:49,452 We said, what do you think? You know what should we call it? 615 00:43:49,496 --> 00:43:51,150 And the results came back 616 00:43:51,193 --> 00:43:54,153 and clean meat was about, led to about 20% greater 617 00:43:54,196 --> 00:43:56,503 consumer acceptance than cultured meat. 618 00:44:02,509 --> 00:44:05,338 We can eliminate industrial animal agriculture 619 00:44:05,904 --> 00:44:09,472 in the next 20 - 30 years. 620 00:44:09,516 --> 00:44:13,302 The best way to do that, it's markets, it's food technology, 621 00:44:13,346 --> 00:44:16,479 it's creating products that people actually want to buy 622 00:44:16,523 --> 00:44:18,699 that they can afford and that they can find. 623 00:44:42,288 --> 00:44:44,682 Hello! Hello. 624 00:44:47,554 --> 00:44:48,990 Hello, everyone. 625 00:44:49,034 --> 00:44:50,688 Hello. 626 00:44:50,731 --> 00:44:53,908 Welcome to the first annual Good Food Conference. 627 00:45:07,792 --> 00:45:10,620 Hey, hey Uma. How are you? Good to see you. 628 00:45:10,664 --> 00:45:12,840 The last time we met you were moving faster. 629 00:45:12,884 --> 00:45:14,450 What do you call this? Our hometown. 630 00:45:14,494 --> 00:45:15,930 - Our hometown. - Yes. 631 00:45:17,758 --> 00:45:20,456 So we started to think about 632 00:45:20,500 --> 00:45:23,285 making a hamburger from stem cells 633 00:45:23,329 --> 00:45:27,072 or making meat from stem cells in 2004. 634 00:45:28,421 --> 00:45:30,553 Funded by the Dutch government 635 00:45:30,597 --> 00:45:33,121 we could start those technologies, develop those technologies. 636 00:45:34,296 --> 00:45:39,911 Unveiling of that first hamburger was in August 2013 in London. 637 00:45:42,087 --> 00:45:44,872 We got the money for that from Sergei Brynn 638 00:45:44,916 --> 00:45:48,658 who put something like $1.5 million in it. 639 00:45:48,702 --> 00:45:51,792 We made three hamburgers for that money. 640 00:45:54,273 --> 00:45:56,928 What I knew is this is a big societal problem, 641 00:45:56,971 --> 00:46:01,149 and this is a potential solution for that societal problem. 642 00:46:01,193 --> 00:46:04,065 What we had experienced, of course, in the project was 643 00:46:04,109 --> 00:46:07,982 yes, there was media attention for it, but there was not 644 00:46:08,026 --> 00:46:10,158 a whole lot of public interest for it. 645 00:46:13,945 --> 00:46:16,512 Actually the trigger for the whole thing was the story 646 00:46:16,556 --> 00:46:21,779 of William Van Eelen at that time already 86 647 00:46:21,822 --> 00:46:25,521 and who basically was so enthusiastic about this project 648 00:46:25,565 --> 00:46:27,262 and really wanted us to do this. 649 00:46:27,306 --> 00:46:28,698 Pan it to me too. 650 00:46:28,742 --> 00:46:31,092 Will do. 651 00:46:31,136 --> 00:46:32,790 I'm really honored to meet you and you know your dad's work 652 00:46:32,833 --> 00:46:34,922 has inspired me while I was in training in cardiology. 653 00:46:34,966 --> 00:46:38,447 I was about fourteen when he started working on this. 654 00:46:38,491 --> 00:46:40,580 And that's 40 years ago now. 655 00:46:41,059 --> 00:46:44,192 and where there was a handful of people 656 00:46:44,236 --> 00:46:46,804 that you could talk to and to be here now was about 657 00:46:46,847 --> 00:46:49,807 450 people in a sold out conference. 658 00:46:49,850 --> 00:46:52,940 And everybody knowing what clean meat is, is for me 659 00:46:52,984 --> 00:46:55,813 like, a very weird situation. 660 00:46:56,335 --> 00:46:58,163 In many ways, 661 00:46:58,206 --> 00:47:00,295 your dad's kind of stimulated an entire generation of thinking. 662 00:47:00,339 --> 00:47:01,688 Yes, he did. 663 00:47:01,731 --> 00:47:03,124 You don't have to be a scientist. 664 00:47:03,168 --> 00:47:06,171 You have to have conviction on your vision. 665 00:47:06,214 --> 00:47:08,390 And I think he's kind of sewing the seeds 666 00:47:08,434 --> 00:47:10,479 for all of us to kind of stand on his shoulders. 667 00:47:10,523 --> 00:47:13,178 He wrote the patent and he got funded. 668 00:47:13,700 --> 00:47:17,008 And then, of course, Mark took over the torch which was good. 669 00:47:20,272 --> 00:47:22,970 I am the daughter of William Van Eelen. 670 00:47:23,014 --> 00:47:25,886 He's considered the great grandfather of clean meat. 671 00:47:26,713 --> 00:47:30,151 In 2010 I organized the first ever 672 00:47:30,195 --> 00:47:33,981 clean meat, or at that time was called Pure Meat Conference 673 00:47:34,025 --> 00:47:38,899 in Nemo Technical Museum in Amsterdam. And there we got 674 00:47:38,943 --> 00:47:42,511 the first footage of very small slivers of pig meat 675 00:47:42,555 --> 00:47:44,209 that Mark Post had made. 676 00:47:44,644 --> 00:47:46,211 And that was the first ever 677 00:47:46,254 --> 00:47:48,691 pictures of actual clean meat, 678 00:47:48,735 --> 00:47:50,563 and they went into the media 679 00:47:50,606 --> 00:47:52,913 and that is actually how the investors of 680 00:47:52,957 --> 00:47:55,698 Sergey Brin found Mark Post. 681 00:47:55,742 --> 00:47:59,006 So this is a story full of domino tiles. 682 00:47:59,050 --> 00:48:02,531 Tell me you are kind of the rock star here. 683 00:48:02,575 --> 00:48:04,577 You have been described to me as a rock star. 684 00:48:04,620 --> 00:48:06,013 You and Mark Post, 685 00:48:06,057 --> 00:48:08,581 people are so interested in Memphis Meats, 686 00:48:08,624 --> 00:48:10,278 you've got all these investors 687 00:48:10,844 --> 00:48:13,803 Why is there so much interest in your company? 688 00:48:15,153 --> 00:48:18,721 Well, I'm flattered to hear what you're saying 689 00:48:18,765 --> 00:48:23,726 about me and Mark, but ultimately this is something 690 00:48:23,770 --> 00:48:25,206 that caught the imagination of, 691 00:48:25,250 --> 00:48:28,644 I say, every country, every continent. 692 00:48:29,254 --> 00:48:31,212 Cell based Sounds a little scary 693 00:48:31,256 --> 00:48:33,562 and clean meat implies that 694 00:48:33,606 --> 00:48:35,216 implies the conventional meat is dirty. 695 00:48:35,260 --> 00:48:38,089 Right. So the background for this, 696 00:48:38,132 --> 00:48:39,960 in the context of it is then we started 697 00:48:40,004 --> 00:48:45,052 talking about this industry and starting the company, 698 00:48:45,096 --> 00:48:46,967 Memphis Meats was the first company in the space. 699 00:48:47,011 --> 00:48:49,317 We started talking to a number of people 700 00:48:49,361 --> 00:48:52,407 and people uniformly got excited and they started calling 701 00:48:52,451 --> 00:48:53,931 the product clean meat. 702 00:48:53,974 --> 00:48:55,758 Clean duck, clean chicken, clean beef. 703 00:48:55,802 --> 00:48:59,240 Because it mainly communicated the benefits of a cleaner 704 00:48:59,284 --> 00:49:03,984 production environment as well as the benefits 705 00:49:04,028 --> 00:49:06,160 we thought we could have 706 00:49:06,204 --> 00:49:08,467 at scale in terms of energy savings. 707 00:49:09,207 --> 00:49:11,339 But as we started talking more and more about this 708 00:49:11,861 --> 00:49:15,996 it became particularly clear that there are people that 709 00:49:16,040 --> 00:49:20,609 felt like while they want this innovation to come to market, 710 00:49:20,653 --> 00:49:24,309 using a prefects like clean was not inclusive. 711 00:49:26,006 --> 00:49:27,486 Our nomenclature. 712 00:49:28,661 --> 00:49:31,533 Why cell based or why clean or why cultured? 713 00:49:31,577 --> 00:49:33,448 Or you know what are the...? 714 00:49:33,492 --> 00:49:35,624 Rather than saying what it is, because what it is, is meat. 715 00:49:35,668 --> 00:49:38,323 Isn't there a quick way to just say how it's made? 716 00:49:38,366 --> 00:49:40,107 When a consumer is buying it, 717 00:49:40,151 --> 00:49:42,675 we want them to know it's coming from animal cells. 718 00:49:42,718 --> 00:49:44,982 versus, a meat alternative. 719 00:49:45,025 --> 00:49:47,897 Why are we so fixated on having a word in front of meat? 720 00:49:47,941 --> 00:49:49,377 It's almost like gluten free, 721 00:49:49,421 --> 00:49:51,814 like you want it to be like factory farm free. 722 00:49:51,858 --> 00:49:53,381 Consumers want transparency. 723 00:49:53,425 --> 00:49:54,687 They want you to be honest with what you're doing. 724 00:49:54,730 --> 00:49:56,645 So that's why I support cellular. 725 00:49:56,689 --> 00:49:58,038 And we want to be transparent. I don't want people mixing up 726 00:49:58,082 --> 00:49:59,474 with stuff with regular-- 727 00:49:59,518 --> 00:50:01,302 No, but on the other hand, 728 00:50:01,346 --> 00:50:04,827 what we're not communicating is... we're communicating back 729 00:50:04,871 --> 00:50:06,307 to being too technically driven. 730 00:50:06,351 --> 00:50:08,657 We're communicating the process. 731 00:50:08,701 --> 00:50:12,226 What if the adjective is more about a global solution? 732 00:50:12,270 --> 00:50:15,490 Yeah, I'm bullish 733 00:50:15,534 --> 00:50:17,318 FFF. 734 00:50:17,362 --> 00:50:18,885 But there's a lot of meat out there factory farm free. 735 00:50:18,928 --> 00:50:20,539 So you shouldn't define it by what it's not. 736 00:50:20,582 --> 00:50:21,757 How's it going? 737 00:50:21,801 --> 00:50:22,889 Good. Going. 738 00:50:25,979 --> 00:50:28,329 Really good? Really, busy? 739 00:50:28,373 --> 00:50:30,331 The alternate would be bad. 740 00:50:30,375 --> 00:50:32,246 So how about you? Are you travelling or? 741 00:50:32,290 --> 00:50:35,162 Uh yeah, just got back from ZuĆ¼rich. 742 00:50:35,206 --> 00:50:38,687 When we thought about the next thing we were 743 00:50:38,731 --> 00:50:41,734 in 4,000 Walmarts, we were in 3,300 public schools, 744 00:50:41,777 --> 00:50:45,694 We were making tens of millions of dollars in sales so we easily 745 00:50:45,738 --> 00:50:49,263 could have done meat with plants that was there for us to take, 746 00:50:49,307 --> 00:50:53,354 but I couldn't imagine a world where McDonald's would replace 747 00:50:53,398 --> 00:50:55,443 all of their hamburgers with the plant based burger 748 00:50:55,748 --> 00:50:58,881 and we decided to go headlong into cultured meat. 749 00:50:58,925 --> 00:51:01,710 All right, guys, we're going to get ready here in just a second. 750 00:51:01,754 --> 00:51:03,538 This is a jam packed panel. 751 00:51:03,582 --> 00:51:04,757 I'm so excited for it. 752 00:51:06,411 --> 00:51:08,282 More people are eating meat today than yesterday 753 00:51:08,326 --> 00:51:11,024 and more people unfortunately will eat meat tomorrow, than today. 754 00:51:11,416 --> 00:51:13,113 We think it's going to be critical 755 00:51:13,157 --> 00:51:16,421 ultimately, to get the price of meat below the cost 756 00:51:16,464 --> 00:51:17,900 of conventional meat. 757 00:51:17,944 --> 00:51:20,294 Proof of concept has been demonstrated 758 00:51:20,338 --> 00:51:23,254 to the public, but now we're about proof of scale. 759 00:51:23,297 --> 00:51:26,083 You know, what is this factory of the future? 760 00:51:26,126 --> 00:51:29,390 It is a food factory. It has a lot of the similarities 761 00:51:29,434 --> 00:51:31,871 to any other food factory following some the same principles. 762 00:51:32,611 --> 00:51:34,265 And I really see this industry 763 00:51:34,308 --> 00:51:36,919 as being a parallel supply chain, 764 00:51:36,963 --> 00:51:39,400 or maybe integrated into the food system, 765 00:51:39,444 --> 00:51:41,620 which I like that people are starting to talk 766 00:51:41,663 --> 00:51:44,405 about the food ecosystem and the system that's what we're a part of. 767 00:51:44,449 --> 00:51:46,581 We are not a separate entity. 768 00:51:46,625 --> 00:51:48,888 The lowering the cost to feed is the biggest challenge in this field. 769 00:51:51,456 --> 00:51:53,240 And right now that's a problem 770 00:51:53,284 --> 00:51:55,286 because no one is producing those ingredients at scale. 771 00:51:55,547 --> 00:51:58,158 But as you start figuring out the key ingredients 772 00:51:58,202 --> 00:52:02,162 that our animal cells need to grow I have very little doubt 773 00:52:02,206 --> 00:52:03,859 in my mind that those things can be scaled up. 774 00:52:03,903 --> 00:52:05,470 I think the folks in the audience 775 00:52:05,513 --> 00:52:06,819 that are thinking about starting their own company 776 00:52:08,299 --> 00:52:10,431 don't just you know, look at what the folks up here 777 00:52:10,475 --> 00:52:12,520 on the stage you're doing think about how you could 778 00:52:12,564 --> 00:52:13,956 provide something to the ecosystem 779 00:52:14,000 --> 00:52:15,871 that could be even more valuable 780 00:52:15,915 --> 00:52:17,656 than what we're doing up here. 781 00:52:17,699 --> 00:52:20,137 Right. So, for example, I would imagine 782 00:52:20,180 --> 00:52:23,531 that if a company were to start trying to create steak, 783 00:52:23,575 --> 00:52:26,534 there might be another startup that would emerge that would try 784 00:52:26,578 --> 00:52:29,363 to produce the fat that would fit into the marbled steak. 785 00:52:33,672 --> 00:52:35,282 From the consumer perspective, 786 00:52:35,326 --> 00:52:37,023 we're facing a brave new world 787 00:52:37,066 --> 00:52:38,633 with technology that was once the stuff 788 00:52:38,677 --> 00:52:41,245 of science fiction now becoming a reality. 789 00:52:45,031 --> 00:52:46,989 I think it's also worth pointing out that people love 790 00:52:47,033 --> 00:52:49,557 innovation almost as much as they despise change. 791 00:52:49,601 --> 00:52:51,733 And there's no place they despise change 792 00:52:51,777 --> 00:52:53,039 more than in the food they eat. 793 00:52:57,130 --> 00:53:00,655 Consumers have come to expect satisfaction and a high quality 794 00:53:00,699 --> 00:53:03,354 eating experience from real beef. 795 00:53:04,050 --> 00:53:06,183 The manufacturers of lab grown 796 00:53:06,226 --> 00:53:09,316 products should be required to invest in their own market 797 00:53:09,360 --> 00:53:14,495 development efforts and not ride the coattails of beef's success. 798 00:53:20,980 --> 00:53:23,635 Consumers are enthusiastic about these products. 799 00:53:24,288 --> 00:53:26,725 We did a poll with the company Faunalytics 800 00:53:26,768 --> 00:53:29,075 and we found that two thirds of Americans 801 00:53:29,118 --> 00:53:30,903 are willing to try meat grown from cells 802 00:53:30,946 --> 00:53:33,210 without slaughtering animals and 40% 803 00:53:33,253 --> 00:53:35,864 that they would pay a premium for these products. 804 00:53:35,908 --> 00:53:39,259 Allowing cellular based proteins or plant based proteins 805 00:53:39,303 --> 00:53:43,089 to bear the label meat or beef or the USDA Federal 806 00:53:43,132 --> 00:53:46,527 meat inspection shield or stamp would be misleading. 807 00:53:46,571 --> 00:53:47,746 Thank you. 808 00:53:51,402 --> 00:53:54,622 We fully recognize that debate will continue 809 00:53:54,666 --> 00:53:56,929 as to what these products should be called moving forward. 810 00:53:57,321 --> 00:53:59,236 And although we have not firmly determined 811 00:53:59,279 --> 00:54:00,715 what the nomenclature should be, 812 00:54:00,759 --> 00:54:02,543 our producers will seek a labeling regime 813 00:54:02,587 --> 00:54:06,068 that provides a clear separation between lab produced products 814 00:54:06,112 --> 00:54:07,331 and conventionally grown meat. 815 00:54:08,288 --> 00:54:10,986 Some terms, like fake, synthetic 816 00:54:11,030 --> 00:54:12,945 or artificial meat, are intended to not only 817 00:54:12,988 --> 00:54:14,599 cast our products in a negative light, 818 00:54:14,642 --> 00:54:17,602 but are also simply false and misleading. 819 00:54:17,993 --> 00:54:19,908 We're making real meat and seafood, 820 00:54:19,952 --> 00:54:21,606 and that's the whole point. 821 00:54:21,997 --> 00:54:24,435 The term lab grown has an accuracy problem 822 00:54:24,478 --> 00:54:26,741 as well. As with many familiar 823 00:54:26,785 --> 00:54:28,743 and currently marketed food products 824 00:54:28,787 --> 00:54:31,398 the early development of our products happens in food labs, 825 00:54:31,442 --> 00:54:34,314 but the products that we bring to consumers will be produced 826 00:54:34,358 --> 00:54:36,360 in food production facilities, not labs. 827 00:54:43,236 --> 00:54:44,803 We really want to hear from you today. 828 00:54:45,238 --> 00:54:46,761 That's really what this meeting is about. 829 00:54:46,805 --> 00:54:48,937 Anyone else would you like to come forward 830 00:54:48,981 --> 00:54:51,810 and make a comment during this open comment period? 831 00:54:52,158 --> 00:54:55,335 We cell based food producers do need to use the terms 832 00:54:55,379 --> 00:54:58,773 fish and meat to reiterate if one is allergic to animal 833 00:54:58,817 --> 00:55:01,123 based seafood, that person has a high probability 834 00:55:01,167 --> 00:55:03,952 I would say almost a 100% certainty 835 00:55:03,996 --> 00:55:06,128 that they will be allergic to the seafood 836 00:55:06,172 --> 00:55:07,782 produced using our technology. 837 00:55:07,826 --> 00:55:11,003 We as cattle producers, we worked a long time to 838 00:55:11,830 --> 00:55:14,876 build trust between consumers and stuff like that. 839 00:55:14,920 --> 00:55:18,053 That's why I urge these companies or individuals 840 00:55:18,097 --> 00:55:22,449 that are doing this technology to maybe step back 841 00:55:22,493 --> 00:55:25,191 and educate us so we understand it. 842 00:55:25,670 --> 00:55:27,976 It might help us be more accepting 843 00:55:28,020 --> 00:55:30,718 to what you want to accomplish. Thank you. 844 00:55:30,762 --> 00:55:32,198 Thank you for your comments. 845 00:55:32,677 --> 00:55:35,027 Would anyone else like to come forward and comment? 846 00:55:39,074 --> 00:55:40,815 I suspect that producing meat 847 00:55:40,859 --> 00:55:42,861 from animal cell culture, rather than whole animals, 848 00:55:42,904 --> 00:55:45,080 could result in fewer viral epidemics 849 00:55:45,124 --> 00:55:46,995 fewer threats to food security 850 00:55:47,039 --> 00:55:49,171 and fewer externalized costs to environment, 851 00:55:49,215 --> 00:55:50,782 public health and animal welfare. 852 00:55:52,218 --> 00:55:55,090 Currently, 815 million people around the globe 853 00:55:55,134 --> 00:55:56,701 are malnourished, as has been 854 00:55:56,744 --> 00:55:58,398 discussed a few times today. 855 00:55:58,442 --> 00:56:00,182 Hunger has been on the rise 856 00:56:00,226 --> 00:56:02,663 for the last three years, and this number is expected 857 00:56:02,707 --> 00:56:05,623 to drastically increase as the world's population grows. 858 00:56:06,275 --> 00:56:09,496 We must rethink the global food production system. 859 00:56:09,540 --> 00:56:13,239 For us producing bluefin tuna, cell based bluefin tuna, 860 00:56:13,282 --> 00:56:14,849 there will be no mercury, 861 00:56:14,893 --> 00:56:17,678 no plastic, we're not using antibiotics 862 00:56:17,722 --> 00:56:19,550 we are not overfishing, the ocean. 863 00:56:19,593 --> 00:56:21,552 We are not engaging in animal cruelty. 864 00:56:23,554 --> 00:56:25,207 On the question of safety 865 00:56:25,251 --> 00:56:27,862 innovation in the meat industry is urgently needed. 866 00:56:27,906 --> 00:56:30,387 Conventional methods rely on the intensive confinement 867 00:56:30,430 --> 00:56:33,912 of animals in unsanitary and inhumane facilities. 868 00:56:34,565 --> 00:56:37,394 These unnatural conditions require extensive use 869 00:56:37,437 --> 00:56:39,439 of antibiotics to address diseases 870 00:56:39,483 --> 00:56:42,747 that proliferate among the crowded, stressed animals. 871 00:56:42,790 --> 00:56:45,706 Contributing to the spread of drug resistant superbugs. 872 00:56:45,750 --> 00:56:48,535 We need real alternatives to the suffering. 873 00:56:48,579 --> 00:56:51,233 We need real alternatives to the cruel 874 00:56:51,277 --> 00:56:54,802 and inhumane conditions forced upon billions of animals 875 00:56:54,846 --> 00:56:57,892 we need alternatives to artificial insemination, 876 00:56:57,936 --> 00:57:00,460 overcrowding, genetic manipulation, 877 00:57:00,504 --> 00:57:02,767 long transport and slaughter. 878 00:57:04,769 --> 00:57:07,293 Without a clear, predictable and timely framework, 879 00:57:07,336 --> 00:57:09,774 this industry cannot succeed. 880 00:57:10,339 --> 00:57:14,169 Any delays in moving forward would jeopardize the U.S.'s standing in the world 881 00:57:14,213 --> 00:57:16,084 as the leader in protein production 882 00:57:16,128 --> 00:57:19,305 and responsible science based food innovation. 883 00:57:48,334 --> 00:57:50,118 In addition to providing clarity 884 00:57:50,162 --> 00:57:51,293 in terms of the regulatory pathway, 885 00:57:51,337 --> 00:57:52,773 are there any other incentives, 886 00:57:52,817 --> 00:57:54,471 either through research, maybe through ARS 887 00:57:54,514 --> 00:57:58,126 or any other type of ways that can be implemented 888 00:57:58,170 --> 00:58:00,607 to help ensure that the American startups 889 00:58:00,651 --> 00:58:03,610 pursuing cellular agriculture products can move forward 890 00:58:03,654 --> 00:58:07,222 Well, the good thing about the environment, the economy 891 00:58:07,266 --> 00:58:09,616 and the democratic process we have here 892 00:58:09,660 --> 00:58:11,531 is our innovators and entrepreneurs 893 00:58:11,575 --> 00:58:14,795 and our risk takers are very creative in their efforts. 894 00:58:14,839 --> 00:58:16,493 We want to be ahead of the game. 895 00:58:16,536 --> 00:58:18,190 I think the regulatory framework 896 00:58:18,233 --> 00:58:20,192 needs to be there to provide guidance 897 00:58:20,235 --> 00:58:24,022 for our entrepreneurs and innovators to work towards so. 898 00:58:24,065 --> 00:58:27,155 we will be moving post haste after this meeting 899 00:58:27,199 --> 00:58:29,636 to more clearly define that. 900 00:58:29,680 --> 00:58:31,551 I think this is one of those unique examples 901 00:58:31,595 --> 00:58:33,074 where we're contemplating 902 00:58:33,118 --> 00:58:34,859 all these things really early in the process, 903 00:58:34,902 --> 00:58:36,730 really in advance of the products even being available 904 00:58:36,774 --> 00:58:39,646 and that's going to, I think help the innovation take root 905 00:58:39,690 --> 00:58:41,996 and provide really clear guidance to the manufacturers. 906 00:58:42,040 --> 00:58:44,564 I think it should accelerate the innovation. Thank you. 907 00:58:44,608 --> 00:58:45,826 Would you like America to be first? 908 00:58:45,870 --> 00:58:47,045 Yes. 909 00:58:51,223 --> 00:58:52,703 I've been like thinking about this 910 00:58:52,746 --> 00:58:55,880 for the last month, obviously in preparation. 911 00:58:56,576 --> 00:59:02,626 This moment where heavily vested parties and cultural identities 912 00:59:03,322 --> 00:59:05,585 would intersect in a formal way. 913 00:59:06,325 --> 00:59:07,761 Hi, you here for Eric? 914 00:59:07,805 --> 00:59:10,329 What little company with no product on the market 915 00:59:11,069 --> 00:59:14,202 gets two federal agencies to talk to each other 916 00:59:14,246 --> 00:59:15,595 in the most productive way? 917 00:59:15,639 --> 00:59:17,336 It was incredible. It is incredible. 918 00:59:19,425 --> 00:59:21,732 Food is regulated by the U.S. Food and Drug Administration 919 00:59:22,123 --> 00:59:25,605 and it's about 80% of the domestic food supply. 920 00:59:25,649 --> 00:59:28,565 and for the remainder it's largely under the USDA. 921 00:59:31,002 --> 00:59:32,569 The U.S. food system splits into, 922 00:59:32,612 --> 00:59:35,049 for meat and poultry, animals that are alive, 923 00:59:35,093 --> 00:59:37,443 the FDA regulates and then basically from the 924 00:59:37,486 --> 00:59:40,054 moment of slaughter forward, the USDA regulates. 925 00:59:41,926 --> 00:59:43,580 This good, though? 926 00:59:43,623 --> 00:59:45,538 Yeah. If you want to pull up right here, that's fine. 927 00:59:49,629 --> 00:59:51,588 We want to compete on market 928 00:59:51,631 --> 00:59:54,068 with products that are safe and labeled, and then 929 00:59:54,112 --> 00:59:56,636 that's where we want to be. And the way to get there 930 00:59:56,680 --> 00:59:58,812 at the last hurdle is the regulatory system. 931 00:59:58,856 --> 01:00:01,293 And that's why we're putting so much energy into it right now. 932 01:00:51,169 --> 01:00:54,041 So we have jurisdiction for both FDA and USDA. 933 01:00:54,085 --> 01:00:56,827 You've done a fantastic job 934 01:00:56,870 --> 01:00:59,090 leading this effort from Memphis Meats, so... 935 01:00:59,743 --> 01:01:02,484 I hope you take a moment, pause, 936 01:01:02,528 --> 01:01:04,878 and recognize it's a big milestone. 937 01:01:04,922 --> 01:01:06,488 Yeah, I think all these big 938 01:01:06,532 --> 01:01:08,708 moments happen and then we sort of like wait, 939 01:01:08,752 --> 01:01:10,797 Did it just happen? 940 01:01:10,841 --> 01:01:13,495 We'd have to like pinch ourselves to make sure it really happened. 941 01:01:13,539 --> 01:01:16,585 We finally get to this end point. 942 01:01:16,629 --> 01:01:19,501 So one thing I was thinking, what is next now for us? 943 01:01:19,545 --> 01:01:21,155 It doesn't matter how great our tech is, 944 01:01:21,199 --> 01:01:23,854 if we can't sell it legally, who cares? 945 01:01:23,897 --> 01:01:26,726 I think that the next step is one we're working on the pathway. 946 01:01:27,379 --> 01:01:29,163 But it could slow down. 947 01:01:29,207 --> 01:01:31,731 There's a possibility that pathway negotiations stall. 948 01:01:31,775 --> 01:01:33,733 Or if there's congressional intervention 949 01:01:33,777 --> 01:01:35,430 which is still lingering. 950 01:01:35,474 --> 01:01:37,824 We know that there's language in the approach bill. 951 01:01:37,868 --> 01:01:40,218 So there's a chance that this could still delay. 952 01:01:41,045 --> 01:01:42,524 I want to be realistic about that. 953 01:01:42,568 --> 01:01:45,005 There was, let's say the pathway gets slowed. 954 01:01:45,049 --> 01:01:47,268 At least we have a reasonable time frame 955 01:01:47,312 --> 01:01:48,835 of getting under the market, 956 01:01:48,879 --> 01:01:50,184 we can continue to do technical development, 957 01:01:50,228 --> 01:01:52,012 continue to lower cost, 958 01:01:52,056 --> 01:01:54,841 continue to increase scale and be ready for that moment. 959 01:01:54,885 --> 01:01:57,235 What would be motivating factors for that? 960 01:01:58,410 --> 01:02:03,067 Very successful lobbying against us. 961 01:02:04,895 --> 01:02:07,724 Okay, so safety and truthful labeling, right? 962 01:02:07,767 --> 01:02:09,769 Correct. Those are the two legal requirements for us. 963 01:02:09,813 --> 01:02:13,773 Yeah, this will be FDA. This will be USDA. 964 01:02:13,817 --> 01:02:15,427 One of the big unknowns, 965 01:02:15,470 --> 01:02:17,255 of course, is, where inspections will be split. 966 01:02:17,298 --> 01:02:18,865 Labeling, we know that's going to be handled by the USDA. 967 01:02:18,909 --> 01:02:20,388 We know that, but we don't know how. 968 01:02:20,432 --> 01:02:22,260 So this is a bare bones pathway right now. 969 01:02:23,609 --> 01:02:28,048 USDA comes in here and the bio system we're talking about. 970 01:02:28,092 --> 01:02:29,093 Where's the biosystems? 971 01:02:29,136 --> 01:02:31,095 This is the bio system 972 01:02:32,444 --> 01:02:34,751 where the animal cells and the feed are growing. 973 01:02:34,794 --> 01:02:37,231 They would do it as part of a pre market safety evaluation. 974 01:02:37,275 --> 01:02:41,366 So they'll evaluate the safety, they'd inspect it and then 975 01:02:42,149 --> 01:02:44,804 they would check to make sure that we're following. 976 01:02:44,848 --> 01:02:48,460 our inspections ourselves 977 01:02:49,287 --> 01:02:52,072 so they wouldn't come on site and check regularly. 978 01:02:52,116 --> 01:02:53,813 Okay. 979 01:02:53,857 --> 01:02:54,727 That's currently what we're thinking. 980 01:02:55,510 --> 01:02:57,295 I think there's a lot of fear 981 01:02:57,338 --> 01:02:59,645 around the intersection of food and technology, 982 01:02:59,688 --> 01:03:01,299 and we really want to, 983 01:03:01,342 --> 01:03:03,605 many of us want to go sort of back to the land, 984 01:03:03,649 --> 01:03:06,695 and we have our own little backyard gardens 985 01:03:06,739 --> 01:03:08,697 and chicken coops and do it the way 986 01:03:08,741 --> 01:03:10,656 that you know they did in Little House on the Prairie . 987 01:03:10,699 --> 01:03:14,660 But that won't work to feed 9 billion - 10 billion people. 988 01:03:14,703 --> 01:03:16,967 And tech will have role. 989 01:03:17,010 --> 01:03:18,838 The question is what role? 990 01:03:18,882 --> 01:03:20,797 And how can you do tech right? 991 01:03:20,840 --> 01:03:22,624 - Hey, David. - Hey, Uma. 992 01:03:22,668 --> 01:03:24,452 How are you? Good to meet you in person. 993 01:03:24,496 --> 01:03:25,671 How are you? Good to see you after all of this, how nice. 994 01:03:25,714 --> 01:03:27,107 So what's the--? 995 01:03:27,151 --> 01:03:28,935 Yeah, so I think in the interest of time, 996 01:03:28,979 --> 01:03:31,851 we should probably start heading over to the R&D facility. 997 01:03:31,895 --> 01:03:34,288 Should we start walking this way? 998 01:03:34,332 --> 01:03:36,203 Yeah. So what we believe in is it starts with the consumers and 999 01:03:36,247 --> 01:03:38,815 ends with the consumers right, so they have to get behind it 1000 01:03:38,858 --> 01:03:40,338 and we want to get this right as opposed to being 1001 01:03:40,381 --> 01:03:41,861 first to market. First to market 1002 01:03:41,905 --> 01:03:43,515 you know, it sounds really exciting to do 1003 01:03:43,776 --> 01:03:48,128 but doing the most desirable product that consumers allow 1004 01:03:48,172 --> 01:03:49,260 is what we're trying to do. 1005 01:03:51,871 --> 01:03:53,960 - Hey guys. Good morning. - Hi. 1006 01:03:54,004 --> 01:03:55,527 - Hi. How are you? - Nice to meet you. 1007 01:03:55,570 --> 01:03:56,658 Nice to meet you as well. 1008 01:03:56,702 --> 01:03:58,312 Casey is our vice president 1009 01:03:58,356 --> 01:04:00,749 of process development and has enormous experience 1010 01:04:00,793 --> 01:04:03,883 in growing cells in very, very large quantities. 1011 01:04:03,927 --> 01:04:06,364 I've been growing cells for a long time. 1012 01:04:06,407 --> 01:04:08,975 and it never dawned on me to eat them, ever so, 1013 01:04:09,019 --> 01:04:12,022 it's a little bit of a shift, 1014 01:04:12,283 --> 01:04:14,154 but it's so exciting because the things that 1015 01:04:14,198 --> 01:04:17,201 we've been learning for decades all totally apply. 1016 01:04:17,244 --> 01:04:19,856 This is the brew? This is the special broth? 1017 01:04:19,899 --> 01:04:21,727 It's a superfood. 1018 01:04:21,770 --> 01:04:24,034 This is a superfood, a cellular superfood, 1019 01:04:24,077 --> 01:04:25,862 and it's a nice lavender... 1020 01:04:25,905 --> 01:04:26,993 Time to walk over to the next spot. 1021 01:04:27,037 --> 01:04:28,777 Let's do that in a little bit. 1022 01:04:28,821 --> 01:04:30,344 You know maybe we should actually do that now. 1023 01:04:30,388 --> 01:04:31,302 Let's just walk over there. 1024 01:04:32,607 --> 01:04:34,348 Thank goodness, David. Keeping our ass on time. 1025 01:04:34,392 --> 01:04:36,873 You know I'm really showing restraint. 1026 01:04:36,916 --> 01:04:38,222 I have a lot of other questions. 1027 01:04:38,265 --> 01:04:41,529 This lab is just being set up now 1028 01:04:41,573 --> 01:04:43,575 there will be a lot of automation units in there. 1029 01:04:43,618 --> 01:04:46,186 There is some there are liquid handling robots that means 1030 01:04:46,230 --> 01:04:47,884 They're handling the feed that Casey is working with. 1031 01:04:47,927 --> 01:04:50,190 Did you say liquid handling robots? 1032 01:04:50,234 --> 01:04:54,064 Take you around and when we first started, 1033 01:04:54,107 --> 01:04:56,414 we were only producing very small quantities 1034 01:04:56,457 --> 01:04:59,156 where, you know, you can make them evolve now. 1035 01:04:59,460 --> 01:05:03,900 Since then, we can pretty much grow as much as we need for our 1036 01:05:03,943 --> 01:05:06,946 tasting and testing purposes, so we can do several pounds 1037 01:05:07,425 --> 01:05:11,037 of meat production and testing at this point, 1038 01:05:11,081 --> 01:05:12,560 but the goal is to be able to take 1039 01:05:12,604 --> 01:05:14,084 and we scale up to a few thousand pounds. 1040 01:05:20,177 --> 01:05:21,482 There we go. 1041 01:05:22,657 --> 01:05:25,443 Trying to get it nice and seared. 1042 01:05:41,111 --> 01:05:43,113 Let's see if you want to just quickly-- 1043 01:05:43,156 --> 01:05:49,119 This feels about as low risk a food as I have ever eaten. 1044 01:05:49,162 --> 01:05:51,991 Even if I just signed a high risk agreement. 1045 01:05:53,688 --> 01:05:56,387 You're not eating anything that I am not eating 1046 01:05:57,170 --> 01:06:02,045 so you're eating meat that comes from cells 1047 01:06:02,654 --> 01:06:04,525 from a very high quality animal. 1048 01:06:05,396 --> 01:06:07,659 This this is still a early stage product, 1049 01:06:07,702 --> 01:06:11,619 but I think I just want to make sure you're looking at this 1050 01:06:11,663 --> 01:06:13,491 as a very big, historic thing in this world. 1051 01:06:14,187 --> 01:06:17,016 So I'm anxious to see what you think about it. 1052 01:06:18,887 --> 01:06:23,631 See it's really, you know, see all the fibers in there? 1053 01:06:23,675 --> 01:06:27,287 See the browning of the skin? And as you pull apart, you know 1054 01:06:27,331 --> 01:06:29,115 meat's hard to pull apart because it's got those 1055 01:06:29,159 --> 01:06:33,206 features and those proteins and the elasticity which is... 1056 01:06:38,168 --> 01:06:39,821 That is meat. 1057 01:06:41,040 --> 01:06:42,737 That is duck meat. 1058 01:06:44,609 --> 01:06:46,176 It's delicious! 1059 01:07:01,974 --> 01:07:07,023 It's got all the stringiness of the strands of muscle 1060 01:07:07,806 --> 01:07:13,942 which is something you don't get in plant based meats, of course. 1061 01:07:13,986 --> 01:07:15,335 And you don't get that resistance 1062 01:07:15,379 --> 01:07:16,771 with the chew resistance. 1063 01:07:16,815 --> 01:07:18,947 I mean, the chew is, it's very chewy. 1064 01:07:18,991 --> 01:07:20,340 Yes. 1065 01:07:20,384 --> 01:07:21,907 Very, it's very meaty. 1066 01:07:23,387 --> 01:07:25,432 Wow, amazing. 1067 01:07:29,219 --> 01:07:32,526 We don't take a very long time to grow meat, right? 1068 01:07:32,570 --> 01:07:34,354 So if you have to think about 1069 01:07:34,398 --> 01:07:37,618 a cow from conception all the way to slaughter 1070 01:07:37,662 --> 01:07:39,881 at the age of 18 to 24 months, 1071 01:07:39,925 --> 01:07:41,448 the whole process is about two and a half years. 1072 01:07:41,492 --> 01:07:43,276 For us to grow beef, 1073 01:07:43,320 --> 01:07:46,627 if it takes about four weeks, at the most six weeks. 1074 01:07:47,933 --> 01:07:49,413 So tell me about your inputs. 1075 01:07:49,456 --> 01:07:51,197 I mean, this gets to the bovine growth room 1076 01:07:51,241 --> 01:07:55,114 and also the environmental implications, right? 1077 01:07:55,158 --> 01:07:58,117 Yeah, yeah. So in the early parts of research in this area, 1078 01:07:58,161 --> 01:07:59,988 the supply chain includes serum. 1079 01:08:00,032 --> 01:08:03,122 And when we think about scaling this up, 1080 01:08:03,166 --> 01:08:06,299 we cannot have a supply chain that is going to have serum. 1081 01:08:06,343 --> 01:08:09,563 That's why we want to separate out serum from meat production. 1082 01:08:09,607 --> 01:08:13,611 or blood from meat production and have our own feed for it. 1083 01:08:13,872 --> 01:08:16,135 So that's the process we are working out 1084 01:08:16,179 --> 01:08:17,963 and we've developed a full end 1085 01:08:18,006 --> 01:08:21,271 to end method of growing cells without any serum at all. 1086 01:08:22,446 --> 01:08:26,754 For us to put products on the market completely animal free. 1087 01:08:26,798 --> 01:08:28,756 It's going to take a while. 1088 01:08:28,800 --> 01:08:31,411 There are still parts of our research that depends 1089 01:08:31,455 --> 01:08:34,588 on getting that serum in to understand how the cells grow. 1090 01:08:34,632 --> 01:08:36,155 Yeah, I guess what I'm wondering 1091 01:08:36,199 --> 01:08:38,026 so for the carbohydrates, for example, 1092 01:08:38,070 --> 01:08:41,595 like are you actually using some kind of carbohydrate source? 1093 01:08:41,639 --> 01:08:44,598 You know, for example, some grain or I mean, 1094 01:08:44,642 --> 01:08:46,600 are there actual sort of recognizable ingredients 1095 01:08:46,644 --> 01:08:48,254 that go into the production? 1096 01:08:48,298 --> 01:08:49,821 100%. They're all recognizable. 1097 01:08:49,864 --> 01:08:51,866 They are already in the current feed system. 1098 01:08:51,910 --> 01:08:55,609 It's still proprietary of what kinds of feeds that we are using 1099 01:08:55,653 --> 01:08:57,350 because we're trying to break it down 1100 01:08:57,394 --> 01:08:59,439 and saying, okay, what is the most efficient source 1101 01:08:59,483 --> 01:09:01,267 of like carbohydrate feed? 1102 01:09:01,311 --> 01:09:03,530 So it might be some crop that we recognize? 1103 01:09:03,574 --> 01:09:05,619 - Right. Yeah, yeah. 100%. - Okay. Okay. 1104 01:09:05,663 --> 01:09:09,145 So it's, you know, maybe it might include some amount 1105 01:09:09,188 --> 01:09:11,147 of corn or soy or something? 1106 01:09:11,190 --> 01:09:14,150 I just want to address that this as an important point. 1107 01:09:14,193 --> 01:09:16,630 It doesn't mean that we're going to stop growing corn 1108 01:09:16,674 --> 01:09:19,851 just because we stopped stopped growing cows? 1109 01:09:19,894 --> 01:09:24,203 - Right. There are estimates of 40 - 50% of land being used 1110 01:09:24,247 --> 01:09:26,074 to grow crops to feed animals. 1111 01:09:26,118 --> 01:09:29,382 We'll still need crops like you said, but it's not even close 1112 01:09:29,426 --> 01:09:32,864 to the degree that we need for keeping, you know, a very, very large herd 1113 01:09:32,907 --> 01:09:34,518 of 70 billion animals on this planet. 1114 01:09:34,561 --> 01:09:36,302 Keep in mind 1115 01:09:36,346 --> 01:09:38,391 you're seeing very small scale production at this point, 1116 01:09:38,435 --> 01:09:40,567 and as we start thinking about scaling this up, 1117 01:09:40,872 --> 01:09:43,918 one of the big areas of innovation 1118 01:09:43,962 --> 01:09:45,224 that we'll start seeing 1119 01:09:45,268 --> 01:09:47,095 is decreasing the environmental impact, 1120 01:09:47,139 --> 01:09:49,010 decreasing the environmental footprint. 1121 01:09:49,054 --> 01:09:51,187 It also makes me feel like that is the reason 1122 01:09:51,230 --> 01:09:52,884 we are here, to solve this problem. 1123 01:09:53,537 --> 01:09:56,017 - It keeps us going. - Biomemesis right? 1124 01:09:56,061 --> 01:09:58,194 You're listening and learning from the animal. 1125 01:10:01,371 --> 01:10:03,547 There is a pretty intense need to 1126 01:10:03,590 --> 01:10:05,418 innovate how we produce food. 1127 01:10:25,917 --> 01:10:28,354 Almost everything we are doing in terms of innovation 1128 01:10:28,398 --> 01:10:33,446 is to do more with less and that's really foundational 1129 01:10:33,490 --> 01:10:36,057 to all the conversations in climate are happening. 1130 01:10:40,932 --> 01:10:44,892 I mean, for instance, our idea is to be able to grow more food, 1131 01:10:44,936 --> 01:10:47,373 more nutrient dense food, 1132 01:10:47,417 --> 01:10:50,768 with less resources to get a pound of meat. 1133 01:11:07,045 --> 01:11:08,960 Our target is to be able to say 1134 01:11:09,308 --> 01:11:12,268 we could use almost ten times less land, 1135 01:11:12,616 --> 01:11:16,446 almost ten times less water and less deforestation. 1136 01:11:19,144 --> 01:11:21,929 And all of these have a direct impact on climate, 1137 01:11:21,973 --> 01:11:24,976 the amount of CO2 that is released. 1138 01:11:35,813 --> 01:11:37,641 There is no methane production 1139 01:11:37,684 --> 01:11:39,425 when you're growing cells. 1140 01:11:39,469 --> 01:11:40,774 When you culture cells, 1141 01:11:40,818 --> 01:11:42,820 the cells are basically, 1142 01:11:42,863 --> 01:11:44,691 it's an oxygen and carbon dioxide exchange that's happening. 1143 01:11:44,735 --> 01:11:47,041 Methane doesn't come into the picture, so 1144 01:11:47,085 --> 01:11:49,740 we don't expect to have methane in our production process as we scale up. 1145 01:12:05,538 --> 01:12:08,541 So I'm going to make some pancakes for breakfast? 1146 01:12:08,585 --> 01:12:09,977 - Okay. - Is that good? 1147 01:12:10,021 --> 01:12:11,457 Blueberries? 1148 01:12:11,501 --> 01:12:13,546 I have some blueberries and blackberries. 1149 01:12:13,590 --> 01:12:14,591 Do you want coffee? 1150 01:12:16,027 --> 01:12:18,029 Sure. Yeah. Do you have the decaf? 1151 01:12:18,072 --> 01:12:19,422 Sure. 1152 01:12:20,205 --> 01:12:21,902 Bananas? 1153 01:12:21,946 --> 01:12:23,295 - I'll cut them. - Okay. 1154 01:12:25,210 --> 01:12:27,038 That's coming out nicely, too. 1155 01:12:29,388 --> 01:12:31,129 So this is from... 1156 01:12:32,522 --> 01:12:35,351 So I'm leaving on Sunday to Minneapolis. 1157 01:12:35,394 --> 01:12:37,178 Okay. Yeah. 1158 01:12:37,222 --> 01:12:39,093 So you have a lot of late meetings this week? 1159 01:12:39,137 --> 01:12:40,834 Yeah. 1160 01:12:40,878 --> 01:12:42,488 Can you not do that next week, please? 1161 01:12:42,532 --> 01:12:45,099 Make sure that the kids get home at a decent hour 1162 01:12:45,143 --> 01:12:47,058 so that you can spend some time with the kids in the evening? 1163 01:12:47,101 --> 01:12:50,017 Yeah. I actually told Jerry to have me out 1164 01:12:50,061 --> 01:12:52,019 every day by 5:30 or 6:00. 1165 01:12:52,063 --> 01:12:54,021 So I should be home pretty early. 1166 01:12:54,065 --> 01:12:56,241 When I had moved to the Bay Area, 1167 01:12:56,284 --> 01:12:58,069 of course, my family was still 1168 01:12:58,112 --> 01:13:00,245 living in Minnesota and the kids were going to school there. 1169 01:13:01,551 --> 01:13:03,074 Thank you for making breakfast. 1170 01:13:03,988 --> 01:13:06,251 Mrunalini had her pediatric practice there. 1171 01:13:06,294 --> 01:13:08,340 And it was not easy. 1172 01:13:10,124 --> 01:13:12,692 But ultimately being able to move the family here 1173 01:13:12,736 --> 01:13:17,218 and just being able to talk to them every day. 1174 01:13:17,262 --> 01:13:21,266 Seeing them, I think has completely changed my life. 1175 01:13:22,006 --> 01:13:25,705 Just having the opportunity for us all to as a family 1176 01:13:25,749 --> 01:13:29,405 spend time under one roof as we are going after 1177 01:13:29,448 --> 01:13:32,451 this very big idea in this world, 1178 01:13:34,105 --> 01:13:35,541 I'm just very grateful. 1179 01:13:35,585 --> 01:13:37,717 I actually brought some markup boxes 1180 01:13:37,761 --> 01:13:39,632 of our what packaging could look like. 1181 01:13:41,982 --> 01:13:43,462 Is it gonna be like vacuum? 1182 01:13:43,506 --> 01:13:46,900 Like you know? That sealed thing so you can...? 1183 01:13:46,944 --> 01:13:48,902 Yeah. So people can see what they're buying. 1184 01:13:48,946 --> 01:13:50,295 And this is the beef. 1185 01:13:50,338 --> 01:13:51,644 I like it. 1186 01:13:52,819 --> 01:13:54,908 I like this "made with love in California". 1187 01:13:54,952 --> 01:13:57,084 When I think about the why 1188 01:13:57,128 --> 01:14:00,523 of what we're doing, it's not a product. 1189 01:14:01,045 --> 01:14:02,829 It's much more than that. 1190 01:14:02,873 --> 01:14:06,093 It's about the way that we want the future world to look 1191 01:14:06,137 --> 01:14:09,836 and that's what drives and motivates Uma every day. 1192 01:14:09,880 --> 01:14:12,622 He has two hats going at all times. 1193 01:14:12,665 --> 01:14:14,667 It's the what? 1194 01:14:14,711 --> 01:14:16,452 Like, what will it look like? 1195 01:14:16,495 --> 01:14:17,931 But the why and the how? 1196 01:14:17,975 --> 01:14:19,933 The ingredients it says cell based 1197 01:14:19,977 --> 01:14:22,632 are grown from cells and salt, spices. 1198 01:14:22,980 --> 01:14:25,025 Yeah. That's what it says here, chicken, 1199 01:14:25,069 --> 01:14:27,898 cell based sea salt, spices including chipotle pepper. 1200 01:14:28,551 --> 01:14:30,291 And same thing here. 1201 01:14:30,335 --> 01:14:33,164 Of course. Right. We need to get labeling approved 1202 01:14:33,207 --> 01:14:35,688 and all of the materials approved. 1203 01:14:35,732 --> 01:14:37,342 But this is what we're thinking. 1204 01:14:39,257 --> 01:14:40,780 We've got to be open to innovation 1205 01:14:40,824 --> 01:14:42,608 and open to conversations, 1206 01:14:42,652 --> 01:14:46,220 but also keep the focus on which particular one will we 1207 01:14:46,264 --> 01:14:47,700 bring forward at the next step. 1208 01:14:47,744 --> 01:14:49,789 Knowing that this is not a race, 1209 01:14:49,833 --> 01:14:51,965 it's not going to be a one and done and that we'll be 1210 01:14:52,009 --> 01:14:53,445 doing it in sequence. 1211 01:14:54,272 --> 01:14:57,318 So our focus is entirely on scale. 1212 01:14:57,362 --> 01:15:01,366 Like we've got to produce it at a scale that is meaningful. 1213 01:15:06,676 --> 01:15:10,201 This is just about 70,000 square feet, rentable space here. 1214 01:15:10,680 --> 01:15:13,509 So this is a 70,000 foot print. 1215 01:15:13,552 --> 01:15:14,988 And the height is-- 1216 01:15:15,032 --> 01:15:17,034 It will easily cost us 1217 01:15:17,077 --> 01:15:18,688 tens of millions of dollars 1218 01:15:18,731 --> 01:15:21,255 to get this first production facility up and running. 1219 01:15:22,561 --> 01:15:24,258 The goal is not just to make 1220 01:15:24,302 --> 01:15:26,870 the meat in this facility, but also to have it be 1221 01:15:26,913 --> 01:15:31,527 a showcase for future facilities and for partners who can join us 1222 01:15:31,570 --> 01:15:33,920 and build out their own production capacity 1223 01:15:33,964 --> 01:15:36,053 in their facilities using their capital. 1224 01:15:36,096 --> 01:15:37,707 So it serves a lot of purposes 1225 01:15:37,750 --> 01:15:41,014 beyond just the meat but it will not come cheap. 1226 01:15:41,058 --> 01:15:43,147 It's a really heavy lift that we're taking on here. 1227 01:15:44,148 --> 01:15:45,932 There's a service elevator that we'll take down 1228 01:15:45,976 --> 01:15:48,892 that gives you access back down to the ground floor. 1229 01:15:49,457 --> 01:15:51,024 And if I wanted a fireman's pole? 1230 01:15:52,983 --> 01:15:54,680 These are high ceilings. 1231 01:15:54,724 --> 01:15:56,377 Yeah, so this is a lot bigger. 1232 01:15:56,421 --> 01:15:58,902 Oh nice, this I more than 24 feet it looks like. 1233 01:15:58,945 --> 01:16:00,381 Or maybe it's 24. 1234 01:16:00,425 --> 01:16:02,558 Yeah, so this is 20,000 square feet here 1235 01:16:02,601 --> 01:16:05,212 where you can do the manufacturing operations. 1236 01:16:05,256 --> 01:16:06,474 Okay. 1237 01:16:06,910 --> 01:16:11,305 So you could have a flow of basically follow 1238 01:16:11,349 --> 01:16:15,266 the process from an area with your raw materials, 1239 01:16:15,309 --> 01:16:18,878 your media preparation provide all the nutrients 1240 01:16:18,922 --> 01:16:23,927 for the cells back into the bio processing suite, harvest 1241 01:16:23,970 --> 01:16:26,059 and then to the food formulation space. 1242 01:16:26,103 --> 01:16:29,889 So you can follow a a U shaped thing here 1243 01:16:29,933 --> 01:16:31,630 for the process all the way around. 1244 01:16:31,674 --> 01:16:32,936 It could be really nice. 1245 01:16:35,765 --> 01:16:38,637 Our paradigm for production will continue to evolve. 1246 01:16:38,942 --> 01:16:40,987 But this is this seems like the most accessible, 1247 01:16:41,031 --> 01:16:45,905 relevant next step for translating from R&D. 1248 01:16:45,949 --> 01:16:48,908 It's a launching pad. Yes, it's a launching pad. 1249 01:16:48,952 --> 01:16:50,431 It's transformative. 1250 01:16:50,475 --> 01:16:52,520 Having it all right here, locally sourced 1251 01:16:52,564 --> 01:16:54,305 and being able to put it out 1252 01:16:54,348 --> 01:16:56,655 Locally sourced, locally produced, locally distributed. 1253 01:16:56,699 --> 01:16:57,787 How's that? 1254 01:16:57,830 --> 01:16:59,310 Yeah, amazing. 1255 01:16:59,353 --> 01:17:00,920 That's what you're going to be making right? 1256 01:17:00,964 --> 01:17:02,356 I'm working on it. I'm working on it. 1257 01:17:02,400 --> 01:17:07,971 I think it has the potential to also be 1258 01:17:08,014 --> 01:17:11,104 that transparent venue where people can really 1259 01:17:11,148 --> 01:17:12,671 understand how we're making meat. 1260 01:17:12,715 --> 01:17:14,934 There were times where Nick and I 1261 01:17:14,978 --> 01:17:16,936 in the first six months of the company 1262 01:17:16,980 --> 01:17:18,024 looked at each other and said 1263 01:17:18,808 --> 01:17:20,548 I don't know if anyone will believe us. 1264 01:17:20,592 --> 01:17:22,550 And if we can actually take this 1265 01:17:22,594 --> 01:17:25,945 to a stage where we can scale it to producing 1266 01:17:25,989 --> 01:17:29,166 meaningful amounts of meat and you know, Nick said 1267 01:17:29,209 --> 01:17:31,777 in one of those tough moments, "we've got to have faith". 1268 01:17:31,821 --> 01:17:33,344 I still remember that day 1269 01:17:33,387 --> 01:17:35,694 because it was one of my lowest moments 1270 01:17:35,738 --> 01:17:37,827 because it was challenging 1271 01:17:37,870 --> 01:17:40,481 to get people to recognize it, it was impossible 1272 01:17:40,525 --> 01:17:44,790 for people to understand that this needed a chance. 1273 01:17:54,539 --> 01:17:56,889 The birth of this game changing industry 1274 01:17:56,933 --> 01:18:00,676 is no longer science fiction, it's reality. 1275 01:18:02,895 --> 01:18:07,508 The innovation of cell cultured meat, poultry, fish and seafood 1276 01:18:07,552 --> 01:18:11,164 is accelerating quickly around the globe 1277 01:18:11,208 --> 01:18:13,732 with pioneers on every continent. 1278 01:18:16,604 --> 01:18:18,215 Our shared humanity 1279 01:18:18,258 --> 01:18:21,218 depends on this hopeful and rapid momentum 1280 01:18:21,261 --> 01:18:25,222 towards a sustainable future for us, 1281 01:18:25,265 --> 01:18:26,832 the animals 1282 01:18:26,876 --> 01:18:29,400 and for our beautiful planet Earth. 1283 01:18:36,146 --> 01:18:39,932 A kind of classic kinda technique to get the chicken nice and brown 1284 01:18:39,976 --> 01:18:41,629 without it getting dry. 1285 01:18:52,597 --> 01:18:54,381 We're just going to let it rest for a minute 1286 01:18:54,425 --> 01:18:55,600 before we slice through it. 1287 01:19:05,784 --> 01:19:08,744 All right, there is Morgan, thanks for cooking it for us. 1288 01:19:14,488 --> 01:19:15,794 All right, cheers. 1289 01:19:41,820 --> 01:19:43,256 Delicious. 1290 01:19:51,134 --> 01:19:54,659 Everybody can come and start taking pieces. Go for it. 1291 01:23:34,922 --> 01:23:37,708 We just grew the part that we wanted to eat. 1292 01:23:37,751 --> 01:23:40,928 This is what Winston Churchill was talking about in 1931. 1293 01:23:40,972 --> 01:23:43,366 I actually remember that exact quote. 1294 01:23:43,409 --> 01:23:46,195 "We shall escape the absurdity of growing a whole chicken 1295 01:23:46,717 --> 01:23:48,936 in order to eat the breast or wing, 1296 01:23:48,980 --> 01:23:50,547 by growing these parts separately 1297 01:23:50,590 --> 01:23:52,027 under a suitable medium." 1298 01:23:52,810 --> 01:23:56,031 That's exactly what we all did. All right. 101858

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