1 00:00:02,520 --> 00:00:07,320 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:07,880 --> 00:00:11,600 Speaker 2: Mobili yesterday had a pretty key announcement a new deal, 3 00:00:12,119 --> 00:00:14,360 Speaker 2: a deal to the tune of nine hundred million dollars 4 00:00:14,440 --> 00:00:18,680 Speaker 2: combining cash MOBILEZ shares to buy Menty Robotics and the 5 00:00:18,680 --> 00:00:20,520 Speaker 2: dealers expected to be closing their first quarter of twenty 6 00:00:20,520 --> 00:00:22,439 Speaker 2: twenty six. We're still in gains up three times percent, 7 00:00:22,480 --> 00:00:24,120 Speaker 2: where significantly off. 8 00:00:24,000 --> 00:00:24,760 Speaker 3: Of our hives. 9 00:00:24,880 --> 00:00:28,000 Speaker 1: As the market digests what this deal really means. We've 10 00:00:28,000 --> 00:00:30,000 Speaker 1: got the perfect person. We're asking what it means. I'm 11 00:00:30,040 --> 00:00:33,080 Speaker 1: non Shashow has here with us Mobile CEO. Is wonderful 12 00:00:33,120 --> 00:00:34,080 Speaker 1: time and time with you, Sam. 13 00:00:33,960 --> 00:00:35,479 Speaker 3: Wonderful to be with your Carolinaded. 14 00:00:35,800 --> 00:00:39,360 Speaker 1: Why is it right for you to go from autonomous 15 00:00:39,440 --> 00:00:41,680 Speaker 1: driving into the world of robotics. 16 00:00:41,440 --> 00:00:45,880 Speaker 4: Well mobilizing AI company in the field of autonomous driving 17 00:00:46,159 --> 00:00:50,279 Speaker 4: driving assist the full spectrum of a computer vision and 18 00:00:51,240 --> 00:00:56,520 Speaker 4: AI to control cars and human ideopolitics has been recognized 19 00:00:56,520 --> 00:00:59,080 Speaker 4: in the past two or three years as a complementary 20 00:01:00,920 --> 00:01:03,960 Speaker 4: and Mobili wants to It's not only another growth engine, 21 00:01:04,520 --> 00:01:07,400 Speaker 4: but from a technological point of view, if you are 22 00:01:07,520 --> 00:01:10,400 Speaker 4: an actor in this area of physical AI, you want 23 00:01:10,440 --> 00:01:14,160 Speaker 4: to then extend it to the full scope of physical AI, 24 00:01:14,720 --> 00:01:18,040 Speaker 4: and I believe that robotics, humanoids, they have a great future. 25 00:01:18,600 --> 00:01:20,640 Speaker 4: Now maybe it's a long term plate that it's not 26 00:01:20,840 --> 00:01:23,000 Speaker 4: you know, a year from now, but I believe it 27 00:01:23,080 --> 00:01:30,200 Speaker 4: has a significant, exciting future. And from Mobili there's synergetic 28 00:01:30,520 --> 00:01:35,640 Speaker 4: areas in infrastructure, in AI, in software, in AI talents. 29 00:01:35,760 --> 00:01:37,640 Speaker 4: So from Mobiliz this is a great move. 30 00:01:37,959 --> 00:01:40,520 Speaker 1: I mean, of course, in many ways, people say you 31 00:01:40,800 --> 00:01:45,280 Speaker 1: think that because you helped found menty your son's work 32 00:01:45,800 --> 00:01:50,480 Speaker 1: at MENTI help me get comfortable with that because many 33 00:01:50,520 --> 00:01:54,480 Speaker 1: have thrown such accusations. Elon must sway sometimes previous acquisitions and. 34 00:01:54,440 --> 00:01:55,000 Speaker 3: Not liked it. 35 00:01:55,280 --> 00:01:58,160 Speaker 4: Well, it's called the related party transaction. Has been done 36 00:01:58,200 --> 00:01:59,880 Speaker 4: in the past and will be done in the future, 37 00:02:00,680 --> 00:02:04,160 Speaker 4: and there are ways to handle it, like being recused from. 38 00:02:04,040 --> 00:02:06,040 Speaker 3: Decision, which I did and so forth. 39 00:02:06,080 --> 00:02:09,040 Speaker 4: And you know, my son has a zero point zero 40 00:02:09,080 --> 00:02:12,120 Speaker 4: zero zero zero one percent is just an employee, so 41 00:02:12,160 --> 00:02:15,720 Speaker 4: it's not a big deal. You know, he graduated from 42 00:02:15,760 --> 00:02:18,560 Speaker 4: computer science and he wanted to do some work and 43 00:02:20,040 --> 00:02:22,360 Speaker 4: go work for a company that is very, very strong 44 00:02:22,400 --> 00:02:25,720 Speaker 4: in AI, working on the future of physical AI. So 45 00:02:25,919 --> 00:02:29,200 Speaker 4: it makes sense. But you know that is really immaterial. 46 00:02:29,639 --> 00:02:34,720 Speaker 4: The material part is the scope of AI. You know, 47 00:02:34,840 --> 00:02:38,840 Speaker 4: physical AI includes humanoids, includes autonomous driving, and it makes 48 00:02:38,880 --> 00:02:42,360 Speaker 4: a lot a lot of sense. Mobili over the years 49 00:02:42,440 --> 00:02:45,680 Speaker 4: was always looking for a new growth engine, right for example, 50 00:02:45,720 --> 00:02:49,560 Speaker 4: take computer vision and applied maybe to security areas in 51 00:02:49,639 --> 00:02:51,880 Speaker 4: cameras and so forth. But we never found something that 52 00:02:52,000 --> 00:02:55,560 Speaker 4: really clicked, found something that has significant modes, that has 53 00:02:55,560 --> 00:03:00,840 Speaker 4: a significant term, and humanoids is becoming that click is 54 00:03:00,919 --> 00:03:01,680 Speaker 4: becoming this. 55 00:03:01,720 --> 00:03:03,200 Speaker 3: Area where are you coming and grow? 56 00:03:03,280 --> 00:03:06,120 Speaker 5: You know, I've been talking for years about you know, 57 00:03:06,200 --> 00:03:09,160 Speaker 5: mobilized existing footprint and then it's go to market in 58 00:03:09,200 --> 00:03:11,600 Speaker 5: the future. What's the go to market for mentee? 59 00:03:12,160 --> 00:03:14,119 Speaker 4: Well, we see to go to market in two phases. 60 00:03:14,600 --> 00:03:22,040 Speaker 4: The first phase is structured environments like warehouses, assembly plants, retail, 61 00:03:23,160 --> 00:03:27,480 Speaker 4: where the number of tasks are finite are also understood 62 00:03:27,480 --> 00:03:30,440 Speaker 4: in advance. What are the tasks that the customer is interested? 63 00:03:30,639 --> 00:03:33,240 Speaker 4: A customer will buy a fleet of robots, not just 64 00:03:33,480 --> 00:03:38,200 Speaker 4: one robot, and you can customize per customer that I 65 00:03:38,240 --> 00:03:42,400 Speaker 4: think based on pocs that the mentee has been doing. 66 00:03:42,800 --> 00:03:44,720 Speaker 4: If you look at the demonstrations that have been showing 67 00:03:44,760 --> 00:03:47,760 Speaker 4: like robots picking boxes, moving them from place to place. 68 00:03:47,840 --> 00:03:49,760 Speaker 5: You would essentially just sell the hardware. 69 00:03:49,520 --> 00:03:51,880 Speaker 3: A seller robot either sell or Lisa robot. 70 00:03:52,200 --> 00:03:52,320 Speaker 5: Right. 71 00:03:54,000 --> 00:03:57,680 Speaker 4: We believe that the manufacturing costs in a reasonable volume 72 00:03:57,720 --> 00:04:00,000 Speaker 4: of tens of thousands of robots would be twenty thousand dollars. 73 00:04:00,160 --> 00:04:03,960 Speaker 4: So this gives a lot of flexibility in a business model. 74 00:04:04,000 --> 00:04:06,080 Speaker 4: So this is phase one. We believe it will start 75 00:04:06,080 --> 00:04:10,360 Speaker 4: in twenty twenty eight. Phase two is unstructured environments like 76 00:04:10,400 --> 00:04:14,480 Speaker 4: home use. That is much more complicated because the tests 77 00:04:14,520 --> 00:04:15,360 Speaker 4: are open ended. 78 00:04:16,440 --> 00:04:18,360 Speaker 3: You need to continuously learn, so. 79 00:04:18,320 --> 00:04:20,640 Speaker 4: It's not that you can prepare yourself to all the 80 00:04:20,680 --> 00:04:24,839 Speaker 4: possible tasks a home in a home use, so you 81 00:04:24,920 --> 00:04:27,480 Speaker 4: need new technology. So it's not that the same technology 82 00:04:27,520 --> 00:04:29,839 Speaker 4: you use for structured environments. And this is one of 83 00:04:29,839 --> 00:04:32,720 Speaker 4: the things that I showed in my keynote, a technology 84 00:04:32,839 --> 00:04:34,960 Speaker 4: that Minty, and this is why Minty is called Minty 85 00:04:35,200 --> 00:04:39,240 Speaker 4: from mentory. The robot is watching passively watching a human 86 00:04:39,360 --> 00:04:43,200 Speaker 4: showing a new task, and the video goes up to 87 00:04:43,240 --> 00:04:45,359 Speaker 4: the cloud. In the cloud, there's a foundation model that 88 00:04:45,400 --> 00:04:49,000 Speaker 4: takes the video, moves it into a simulator, trains over 89 00:04:49,040 --> 00:04:51,960 Speaker 4: the simulator. Today it's a few hours in the future, 90 00:04:51,960 --> 00:04:53,120 Speaker 4: a few minutes goes back to. 91 00:04:53,040 --> 00:04:54,640 Speaker 3: The robot and the robots perform the test. 92 00:04:54,839 --> 00:04:56,840 Speaker 5: Let's go back to your core business and on this 93 00:04:56,920 --> 00:05:01,000 Speaker 5: week in video showed us a full stack solution autonomous driving. 94 00:05:01,680 --> 00:05:05,200 Speaker 5: You know, they make arguments that their software and hardware 95 00:05:05,200 --> 00:05:09,200 Speaker 5: competencies will make them win. Your evaluation of what they're 96 00:05:09,240 --> 00:05:11,920 Speaker 5: offering against what you plan to do costs for mile 97 00:05:12,000 --> 00:05:13,919 Speaker 5: basis how worried you are. 98 00:05:14,600 --> 00:05:15,239 Speaker 3: I'm not worried. 99 00:05:15,279 --> 00:05:20,040 Speaker 4: Competition, I believe is always good. It kind of ignites 100 00:05:20,120 --> 00:05:24,159 Speaker 4: the market. In my keynote, I had Christian Zenger, the 101 00:05:24,200 --> 00:05:29,320 Speaker 4: CEO of Folkswagen Autonomously Cars, chairman of Moya, come to 102 00:05:29,360 --> 00:05:31,840 Speaker 4: the stage and talk about one hundred thousand vehicles in 103 00:05:31,839 --> 00:05:35,359 Speaker 4: the next eight years, one hundred thousand robotaxes in the 104 00:05:35,360 --> 00:05:39,480 Speaker 4: next eight years. Talked about that we are almost there 105 00:05:39,520 --> 00:05:42,560 Speaker 4: in removing the driver, going driver less in Q three. 106 00:05:42,960 --> 00:05:44,920 Speaker 5: Yeah, but are they using mobili Yeah, of course, this 107 00:05:45,040 --> 00:05:48,279 Speaker 5: is clad, iron clad, This is a mobilize. 108 00:05:48,279 --> 00:05:51,680 Speaker 4: There are one hundred id bus vehicles in multiple locales. 109 00:05:52,160 --> 00:05:56,800 Speaker 3: All of them is mobil mobilized tack and we. 110 00:05:56,760 --> 00:06:00,159 Speaker 4: Are really on the way of removing the driver and 111 00:06:00,200 --> 00:06:05,400 Speaker 4: a very cost effective solution. Our sensor set is you know, 112 00:06:05,720 --> 00:06:10,400 Speaker 4: ten thousand dollars twelve thousand dollars. Compute is very very 113 00:06:10,440 --> 00:06:14,680 Speaker 4: cost cost optimized mobilized chips are one tenth of the 114 00:06:14,720 --> 00:06:19,280 Speaker 4: cost of competing chips. We developed our imaging radars which 115 00:06:19,279 --> 00:06:22,320 Speaker 4: are the best on the planet, those imaging radars. So 116 00:06:22,480 --> 00:06:24,960 Speaker 4: I feel very confident that we are on our way 117 00:06:25,000 --> 00:06:26,240 Speaker 4: to a new growth engine. 118 00:06:26,279 --> 00:06:28,479 Speaker 3: With the robotax your striking deals. 119 00:06:28,920 --> 00:06:30,479 Speaker 1: We understand as us all to make it that you 120 00:06:30,480 --> 00:06:33,719 Speaker 1: struck a deal with the nine million cars for safety software. 121 00:06:34,520 --> 00:06:38,599 Speaker 4: Okay us automaker that are three to four no pick one. 122 00:06:42,240 --> 00:06:47,000 Speaker 4: But I think that this nine million units is a 123 00:06:47,000 --> 00:06:50,080 Speaker 4: big news because we are talking about the evolution of AIDAS. 124 00:06:50,240 --> 00:06:52,599 Speaker 4: So aid US today is a front facing camera. Maybe 125 00:06:52,640 --> 00:06:56,200 Speaker 4: you have a front facing radar. This nine million units 126 00:06:56,279 --> 00:06:59,599 Speaker 4: is called surround AIDAS. You are taking a front facing camera, 127 00:06:59,720 --> 00:07:04,279 Speaker 4: four parking cameras, multiple radars, a very strong value proposition 128 00:07:04,400 --> 00:07:09,159 Speaker 4: to the customer, and it replaces multiple ECUs in the car. 129 00:07:09,360 --> 00:07:11,720 Speaker 3: It replaces the aco F parking AEO OF for. 130 00:07:11,880 --> 00:07:17,800 Speaker 4: Driving monitoring system, hands free driving on highways, safety. 131 00:07:17,880 --> 00:07:19,760 Speaker 3: Functions for the next five years. 132 00:07:19,880 --> 00:07:22,440 Speaker 4: So this is the evolution of AIDAS and it's high 133 00:07:22,520 --> 00:07:25,920 Speaker 4: volume We have two customers in the past year, Volkswagen 134 00:07:25,960 --> 00:07:28,640 Speaker 4: and this US customer nineteen million units. 135 00:07:29,240 --> 00:07:31,480 Speaker 3: This is big AI twenty one. 136 00:07:32,160 --> 00:07:35,560 Speaker 5: We're hearing that in Vidia Misto Loong is quite interested 137 00:07:35,600 --> 00:07:38,600 Speaker 5: in another one of your companies. He's here this week. 138 00:07:38,720 --> 00:07:40,640 Speaker 5: What can you tell us about how talks are going? 139 00:07:41,040 --> 00:07:42,880 Speaker 5: Did you manage to speak to Jensen while here? 140 00:07:43,200 --> 00:07:45,840 Speaker 4: You know, the Israeli press is not as tight as 141 00:07:46,120 --> 00:07:48,480 Speaker 4: the US press, So don't believe anything you're reading the 142 00:07:48,560 --> 00:07:51,680 Speaker 4: Israeli press. No, no, that there are talks, talks and 143 00:07:51,840 --> 00:07:55,160 Speaker 4: Vidia talks with others, but no, it's nothing even close 144 00:07:55,200 --> 00:07:58,040 Speaker 4: to talking about it in the press. 145 00:07:58,680 --> 00:08:01,760 Speaker 1: How do you think all I investors would feel about 146 00:08:01,760 --> 00:08:07,040 Speaker 1: an acquisition of AI twenty one by. 147 00:08:05,120 --> 00:08:09,000 Speaker 4: An It has nothing to do or I twenty one 148 00:08:09,120 --> 00:08:13,320 Speaker 4: is working on foundation models and agents, has nothing to 149 00:08:13,360 --> 00:08:17,040 Speaker 4: do with the activity of Mobilize. Activity of Mentee Mobili 150 00:08:17,240 --> 00:08:17,800 Speaker 4: is physical. 151 00:08:17,840 --> 00:08:20,680 Speaker 3: AI. You're a busy man. You're a busy man. 152 00:08:20,880 --> 00:08:23,560 Speaker 5: Busy man for the time here at C s Las Vegas, 153 00:08:23,560 --> 00:08:27,360 Speaker 5: Amon Shashua mobil I C e O. Thank you very much.