1 00:00:00,000 --> 00:00:23,220 Hi, everyone. 2 00:00:23,220 --> 00:00:32,060 Okay, let's give a bit of time for everyone to join the call. 3 00:00:47,180 --> 00:00:47,740 Okay. 4 00:00:50,440 --> 00:00:53,140 Just wanted to check, is everyone from Malamud? 5 00:00:53,220 --> 00:00:53,720 Yeah. 6 00:01:03,940 --> 00:01:06,560 We have one more who's joining right now. 7 00:01:06,860 --> 00:01:07,360 Sure. 8 00:01:08,640 --> 00:01:09,400 Bill, right? 9 00:01:10,240 --> 00:01:11,040 Yeah, Bill. 10 00:01:12,580 --> 00:01:14,780 Okay, so just go. 11 00:01:17,340 --> 00:01:22,620 Hello, Matthew, Gillian, Janelle. 12 00:01:24,120 --> 00:01:27,020 I see that Janelle from Enterprise Singapore is here. 13 00:01:27,180 --> 00:01:29,160 Will there be anyone else from Enterprise Singapore joining us too? 14 00:01:30,960 --> 00:01:32,380 Nope, just me today. 15 00:01:35,380 --> 00:01:39,920 Okay, then as for Rolls-Royce, I see Gillian is here, Matthew is here. 16 00:01:40,400 --> 00:01:42,380 Is there anyone else that's joining from Rolls-Royce too? 17 00:01:47,580 --> 00:01:49,760 I think we can kickstart. 18 00:01:49,900 --> 00:01:50,840 Yeah, most of them are here. 19 00:01:51,500 --> 00:01:51,680 Sure. 20 00:01:52,400 --> 00:01:52,700 Okay. 21 00:01:53,220 --> 00:01:58,900 So, we're going to start with a quick introduction of what we're supposed to do today. 22 00:01:58,900 --> 00:02:01,560 And then after this, I'll let both teams introduce each other. 23 00:02:01,660 --> 00:02:04,680 And then I'll just very quickly, you know, start with the team's presentation. 24 00:02:05,060 --> 00:02:08,260 So, just to very quickly run through the goal of today's session. 25 00:02:08,340 --> 00:02:14,400 So, we're here all today for the clarification phase meeting for Malamud and also Rolls-Royce. 26 00:02:14,660 --> 00:02:23,200 So, just to share again the format of today's meeting, it'll be a total of 45 minutes in total with a quick 10-minute presentation by Malamud itself. 27 00:02:23,200 --> 00:02:30,120 Followed by a 20-minute Q&A session between, you know, Rolls-Royce and also Rolls-Royce Singapore, if there are any other questions. 28 00:02:30,640 --> 00:02:32,000 And Malamud. 29 00:02:32,260 --> 00:02:35,500 Afterwards, there's a 10-minute buffer just in case the meeting actually overruns. 30 00:02:35,520 --> 00:02:36,040 So, not to worry. 31 00:02:36,120 --> 00:02:38,620 I'll actually have the time for each of those sessions itself. 32 00:02:40,200 --> 00:02:49,980 Just a gentle reminder, after this phase itself, there is actually a set of deliverables that's required from the Malamud team by 29th of June, Monday. 33 00:02:50,660 --> 00:02:52,700 Of course, 4 p.m. GMP plus 8. 34 00:02:53,200 --> 00:03:00,400 So, the first set of deliverable is a refined proposal deck of up to 20 slides following today's meeting. 35 00:03:00,820 --> 00:03:07,540 So, from today's meeting itself, there might be quite a fair bit of questions that's asked by the Rolls-Royce and Enterprise Singapore team regarding Malamud's solution. 36 00:03:07,880 --> 00:03:13,580 Likewise, this is also a good opportunity for the Malamud team to ask any clarifying questions to the Rolls-Royce team. 37 00:03:13,880 --> 00:03:21,460 So, from all of these questions, you know, there might be some changes or enhancements that the Malamud team may like to make to their slide deck deliverable. 38 00:03:21,880 --> 00:03:22,660 This would be a good opportunity. 39 00:03:22,660 --> 00:03:31,300 So, this is a good opportunity to make these revisions or enhancements and just a gentle reminder again, the total length of this slide deck is up to be 20 slides in total. 40 00:03:31,960 --> 00:03:33,420 So, that's the first deliverable. 41 00:03:33,940 --> 00:03:44,140 The second deliverable is that we also require an introductory two minutes video of the solution by either the founder, the CEO or top management of Malamud, explaining how the solution works. 42 00:03:44,380 --> 00:03:51,760 So, this is really quite a good opportunity for you to do a quick, you know, pitch of your solution as to why the solution should be selected by the Rolls-Royce team itself. 43 00:03:51,760 --> 00:03:53,680 Are there any questions? 44 00:03:55,880 --> 00:03:56,920 Nope, all good for me. 45 00:03:57,400 --> 00:04:02,140 Okay, so in this case, I'll just let the team introduce themselves. 46 00:04:02,140 --> 00:04:06,200 So, would the Malamud team like to introduce yourselves and very quickly start the presentation? 47 00:04:08,020 --> 00:04:11,700 Yeah, good morning here from New York City. 48 00:04:11,940 --> 00:04:13,200 It's great to meet you all. 49 00:04:13,200 --> 00:04:18,340 I am Cara Meyer, the founder of Malamud, and I'm joined by my co-founder, Bill Leon. 50 00:04:21,760 --> 00:04:22,060 I'm sorry. 51 00:04:22,300 --> 00:04:22,660 I'm sorry. 52 00:04:22,960 --> 00:04:23,240 I'm sorry. 53 00:04:23,560 --> 00:04:23,780 I'm sorry. 54 00:04:24,120 --> 00:04:24,300 I'm sorry. 55 00:04:24,700 --> 00:04:25,360 I'm sorry. 56 00:04:25,360 --> 00:04:25,820 Yeah. 57 00:04:26,040 --> 00:04:26,620 Hi, everyone. 58 00:04:26,740 --> 00:04:27,180 Hi, everyone. 59 00:04:31,780 --> 00:04:32,220 Um. 60 00:04:32,640 --> 00:04:32,920 Um. 61 00:04:34,760 --> 00:04:36,820 I think you just got to use one audio. 62 00:04:37,460 --> 00:04:37,740 Yep. 63 00:04:39,380 --> 00:04:40,740 So I see it's just a little. 64 00:04:42,780 --> 00:04:43,760 What's this happening? 65 00:04:43,760 --> 00:04:44,320 What's this happening? 66 00:04:44,480 --> 00:04:44,880 I don't know. 67 00:04:45,140 --> 00:04:45,780 Neither of us. 68 00:04:45,960 --> 00:04:46,660 That's great. 69 00:04:46,980 --> 00:04:47,700 There we go. 70 00:04:47,980 --> 00:04:48,240 Okay. 71 00:04:48,640 --> 00:04:49,540 Apologies, everyone. 72 00:04:49,540 --> 00:04:53,220 Uh, just morning in New York here as well. 73 00:04:53,420 --> 00:04:56,260 Happy to meet, uh, find us in the same room. 74 00:04:56,460 --> 00:04:58,640 So hopefully our audio won't collect too much. 75 00:04:59,160 --> 00:05:00,520 Um, but yeah, I'm Bill. 76 00:05:00,660 --> 00:05:03,280 I am the co-founder of Malamute as well. 77 00:05:03,560 --> 00:05:08,940 Uh, we both sort of work out of New York city, but we've been all up and down, uh, the East 78 00:05:08,940 --> 00:05:13,800 coast here, uh, working with different manufacturers over the last five years and really excited 79 00:05:13,800 --> 00:05:17,880 to meet everyone at Rolls Royce, uh, and hear about your problem set. 80 00:05:17,880 --> 00:05:18,380 Yeah. 81 00:05:19,540 --> 00:05:20,680 We'll talk to you soon. 82 00:05:22,840 --> 00:05:22,940 Okay. 83 00:05:22,940 --> 00:05:24,380 Thank you for introducing yourself. 84 00:05:24,920 --> 00:05:29,940 Uh, would the Rolls Royce team like to introduce yourselves and your roles to the Malamute team 85 00:05:29,940 --> 00:05:31,020 was also just so they're familiar. 86 00:05:32,280 --> 00:05:32,780 Sure. 87 00:05:32,980 --> 00:05:35,820 Uh, firstly, thanks guys. 88 00:05:35,980 --> 00:05:40,120 This must be really we, ours, and I can see the background behind you is not a 89 00:05:40,120 --> 00:05:42,360 wallpaper, but it's literally. 90 00:05:42,860 --> 00:05:43,240 Dawn. 91 00:05:43,240 --> 00:05:44,660 So appreciate that. 92 00:05:45,140 --> 00:05:47,440 Uh, I am Raj. 93 00:05:47,500 --> 00:05:48,960 I am, uh. 94 00:05:48,960 --> 00:05:53,840 the technology strategy lead for disassembly technologies so basically how we take about 95 00:05:53,840 --> 00:05:58,740 engines and put them back together and the reason you are up so early is probably because of me 96 00:05:58,740 --> 00:06:06,480 because i'm based in singapore uh and on the call we have quite a few diverse range i'll just 97 00:06:06,480 --> 00:06:15,680 quickly pass it on to my team here uh sohan and first hi good good morning good evening i'm sohan 98 00:06:15,680 --> 00:06:21,520 uh just like raj i'm based over in singapore here i'm with the technology team so i look after 99 00:06:21,520 --> 00:06:26,840 mro technology projects it's nice to hear from you guys mike 100 00:06:26,840 --> 00:06:35,240 hi good morning good afternoon good evening uh i'm same thing as uh raj and sohan my name is 101 00:06:35,240 --> 00:06:42,000 so i'm doing same thing uh technology for uh smd methods and this is everything yeah 102 00:06:42,000 --> 00:06:45,480 all right let's move a bit closer to you guys 103 00:06:45,480 --> 00:06:45,660 you 104 00:06:45,680 --> 00:06:46,180 John 105 00:06:46,180 --> 00:06:52,520 hi good to meet you john pearson technology lead for the innovation team and part of the future 106 00:06:52,520 --> 00:06:57,620 technologies group to work alongside ariane based in the uk derby 107 00:06:57,620 --> 00:07:00,180 ariane 108 00:07:00,180 --> 00:07:08,300 morning ariana ramad john but based in derby in the future technology team um i'm the lead for 109 00:07:08,300 --> 00:07:12,640 technology horizon scanning and rolls royce and i'm also leading the community of practice for 110 00:07:12,640 --> 00:07:13,800 everything xr related 111 00:07:15,680 --> 00:07:18,100 matt 112 00:07:18,100 --> 00:07:22,160 good morning all my name is matt chamberlain i'm an 113 00:07:22,160 --> 00:07:28,140 industrialization manager in derby civil etns 114 00:07:28,140 --> 00:07:30,180 mick 115 00:07:30,180 --> 00:07:38,980 hi it's uh mick mahal based in bristol uh district product specialists looking at emerging technologies innovation and vr 116 00:07:39,580 --> 00:07:40,520 and 117 00:07:40,520 --> 00:07:43,400 finally uh dan 118 00:07:43,400 --> 00:07:43,680 uh more nor lastly it's a concept it's smoothly but every medium is dynamic yeah i work in helping people become available preserve and develop imagination through crabench application and ні digital plastics looking at emerging technologies innovation and vr answers will need your undenooo workouts please check hotline 3723 Wait Butterfly Feedback website on video web facebook mick mahal hai hi it's uh mick mahal based in bristol a district product specialists looking at emerging technologies innovation and vr 2016 working quality благashawan울 i'm at utiliza right now and finally dan 119 00:07:43,680 --> 00:07:50,680 Morno, yeah, I work at Mekong Basin Bristol, part of the Digital Project Ownership team in Defence. 120 00:07:53,680 --> 00:07:59,680 Thank you. Would the Enterprise Singapore team like to introduce yourself to Malamudu? 121 00:08:00,680 --> 00:08:04,680 Hi, I'm Jane Yeo from Enterprise Singapore. 122 00:08:04,680 --> 00:08:17,680 I oversee the aerospace and space tech industries in Singapore and help to grow the industry and help the local companies here as well as, yeah, we help support the AOC. 123 00:08:19,680 --> 00:08:24,680 Thank you. Actually, I just realised I didn't do a quick introduction of myself too, so sorry about that. 124 00:08:25,680 --> 00:08:28,680 But just to introduce myself, my name is Timothy. I'm actually from the company called Agarice. 125 00:08:29,680 --> 00:08:31,680 We're actually the partner of Enterprise Singapore for this specific challenge. 126 00:08:32,680 --> 00:08:33,680 So my role here today is really to be a coordinator for Agarice. 127 00:08:34,680 --> 00:08:38,940 And then I'm also the head of the 128 00:08:39,940 --> 00:08:41,680 So now that introductions are out of the way, I'll very quickly start, you know, you can just very quickly start your presentation. 129 00:08:41,940 --> 00:08:45,680 I'll help to time it out and you have 10 minutes for the presentation itself. So over to you. 130 00:08:50,940 --> 00:08:51,940 All right, we are sharing our screen now. 131 00:08:52,940 --> 00:08:59,940 Thank you. So we're going to talk to you today about our MRO Master Trainer platform. 132 00:09:01,940 --> 00:09:03,940 Can you go back a second. 133 00:09:04,680 --> 00:09:12,400 slide? Thank you. We are Malamute, a team of builders focused on equipping deskless 134 00:09:12,400 --> 00:09:23,540 workforces with the tools of tomorrow. And the challenge that we're focused on is about 135 00:09:23,540 --> 00:09:29,720 effectively training aerospace technicians to develop with high confidence, error-free 136 00:09:29,720 --> 00:09:37,800 proficiency in all your engine assembly and disassembly. I'll hand it off to Bill to tell 137 00:09:37,800 --> 00:09:43,300 you more about our solution. Yeah. And before you get into the solution, it's really about the 138 00:09:43,300 --> 00:09:49,240 problem here. Given that really long problem statement, one thing that we really click with 139 00:09:49,240 --> 00:09:57,600 is the problem in training a skilled workforce, trying to keep all these MRI operations going, 140 00:09:57,980 --> 00:09:59,240 is that the number one thing, 141 00:09:59,440 --> 00:09:59,700 most of the time, 142 00:09:59,700 --> 00:09:59,720 most of the time, 143 00:09:59,720 --> 00:10:05,120 teams are after is actually product reliability so all of this is what do 144 00:10:05,120 --> 00:10:08,960 you do to keep your product in your customers eyes as the number one thing 145 00:10:08,960 --> 00:10:14,180 in their sort of choice you know continuing to choose Rolls Royce and 146 00:10:14,180 --> 00:10:18,920 that depends on great teams because it takes entire teams to keep especially 147 00:10:18,920 --> 00:10:23,060 complex things together but also great technology and these things have to work 148 00:10:23,060 --> 00:10:28,660 hand in hand and so we've been developing a mixed reality enhanced 149 00:10:28,660 --> 00:10:34,480 collaboration platform over the past couple years and this platform is really 150 00:10:34,480 --> 00:10:40,480 focused around combining mixed reality technologies and spatial computing and 151 00:10:40,480 --> 00:10:45,900 for spatial computing it's really all of the you know technology the math and the 152 00:10:45,900 --> 00:10:50,560 tools around making sure that anything that's digital isn't just locked into 153 00:10:50,560 --> 00:10:54,160 the screen into the two-dimensional space really we're trying to take into 154 00:10:54,160 --> 00:10:58,420 account all this 3d information and mapping it back on to the real world 155 00:10:58,420 --> 00:10:58,640 you know we're trying to take into account all this 3d information and mapping it back on to the real world 156 00:10:58,640 --> 00:11:09,580 so our big pillars for what our solution provides is collaboration a spatial 157 00:11:09,580 --> 00:11:15,240 computing platform and workflows that are tailored for mixed reality and again 158 00:11:15,240 --> 00:11:20,960 mixed reality is mostly expressed in the ability to be wearing a headset that has 159 00:11:20,960 --> 00:11:26,360 three-dimensional information while still using the real physical items in 160 00:11:26,360 --> 00:11:28,400 the workflow or in the workspace 161 00:11:28,400 --> 00:11:33,200 we care a ton about cooperation we think problems are solved when team 162 00:11:33,200 --> 00:11:38,000 members are working together and mostly is that they're working within the actual 163 00:11:38,000 --> 00:11:44,240 space the real space and not just purely in a virtual simulated room or 164 00:11:44,240 --> 00:11:51,320 environment so with that we've developed tools that allow for co-located mixed 165 00:11:51,320 --> 00:11:58,160 reality so workers can be in the same space we've done in the actual lab 166 00:11:58,160 --> 00:12:04,700 setting where production and equipment is being developed as well as 167 00:12:04,700 --> 00:12:11,300 co-location to enable shared multi-user interactions where you can have you know 168 00:12:11,300 --> 00:12:16,700 a worker inside a headset with other workers that are both in headset or in 169 00:12:16,700 --> 00:12:19,760 mobile 170 00:12:19,760 --> 00:12:27,800 and this has been really really a great project and process for us especially mixing what is sort 171 00:12:27,800 --> 00:12:33,620 of these proposed CAD designs as well as actually built both prototype and in deployment 172 00:12:34,820 --> 00:12:39,740 physical equipment so specifically here I'm talking about a partnership we did with a biotech 173 00:12:39,740 --> 00:12:46,760 company for a brand new filtration system that hadn't existed before and a lot of scientists 174 00:12:46,760 --> 00:12:51,260 and researchers that were using it had no idea of what it could do or how it could work and 175 00:12:51,260 --> 00:12:57,740 this allowed them to sort of show this off even without taking one of these bespoke systems as 176 00:12:57,800 --> 00:13:03,260 well as to prototype all of the different parts and pieces that would need to go between consumables 177 00:13:03,260 --> 00:13:04,460 and fixed assets 178 00:13:07,160 --> 00:13:12,380 but the most exciting thing that has come up in the last couple years specifically the last year 179 00:13:12,380 --> 00:13:18,540 that we've been working on most excited to show waltz Royce today is the rapid integration of 180 00:13:18,540 --> 00:13:24,740 real assets into Virtual Space so everyone's probably familiar with CAD models and their 181 00:13:24,740 --> 00:13:25,780 ability to uh integrate 182 00:13:25,780 --> 00:13:27,460 into these virtual spaces and mobile aspects 183 00:13:27,800 --> 00:13:36,360 headsets, we've been working on in the wild scanning of actual components and bringing 184 00:13:36,360 --> 00:13:45,480 those into XR. So this is through just an entire tool set that we've been developing that allows 185 00:13:45,480 --> 00:13:51,640 for 3D Gaussian splatting, it's a very photorealistic method, to then be integrated 186 00:13:51,640 --> 00:13:58,200 directly into the same XR platform that we've used for CAD. This allows for actual overlay of 187 00:13:58,200 --> 00:14:05,240 a photoreal onto the actual object. The scanning pipeline works very quickly, we're talking sub 188 00:14:05,240 --> 00:14:14,680 maybe five to eight minutes, for getting something into your real space in a photoreal way. So I've 189 00:14:14,680 --> 00:14:20,520 been, well I was, this project is already done, but I was rebuilding a rotary engine a while ago 190 00:14:20,520 --> 00:14:21,480 out of an RX-8. 191 00:14:21,640 --> 00:14:29,240 A Mazda and taking these scans along the way and being able to annotate them directly in XR 192 00:14:29,240 --> 00:14:36,920 using MetaQuest headset and Logitech MX Ink pen. Now this 3D Gaussian splatting, if you have not 193 00:14:36,920 --> 00:14:42,680 experienced yet, is kind of an incredible rendering technology that we're mostly excited 194 00:14:42,680 --> 00:14:51,000 about because it runs in real time and so you can very quickly pull this up within other formats 195 00:14:51,640 --> 00:14:57,560 that are available. So I'm going to show it as the real spatial representation. And for example, 196 00:14:57,560 --> 00:15:04,200 here is my car that hit a deer, which I think is the best example, and especially because the 197 00:15:05,080 --> 00:15:10,520 collision center let me scan the car the whole way through. So I have a perfect record of my car 198 00:15:10,520 --> 00:15:21,640 being rebuilt after that collision. Also happy to share those demos as well later on. But what we do, 199 00:15:21,640 --> 00:15:27,320 and what we've been doing for a while, is trying to package these XR headsets and platform 200 00:15:27,320 --> 00:15:33,160 specifically with NVIDIA compute so that you can run all of these things without needing any IT 201 00:15:33,160 --> 00:15:39,480 infrastructure. We ship the IT, the router, the compute, everything can run locally. You don't need 202 00:15:40,120 --> 00:15:45,640 any type of integration, even though we can do that. But we prefer to sort of push for solutions 203 00:15:45,640 --> 00:15:51,400 that work in the field. Now we're really interested here in, especially this challenge, 204 00:15:51,400 --> 00:15:58,200 because as we know, the global MRO market is fairly large, but we believe that this partnership 205 00:15:58,200 --> 00:16:03,480 is going to give us access to the global aircraft engine and parts manufacturing market, especially 206 00:16:03,480 --> 00:16:09,560 to push us to where we really want to be, which is addressing problems across all manufacturing, 207 00:16:09,560 --> 00:16:16,840 heavy industries, precision manufacturing, biotechnology. So right now, we're thinking 208 00:16:16,840 --> 00:16:21,080 of the business model as purely software as a service, and we want to get to somewhere 209 00:16:21,080 --> 00:16:26,200 around platform licensing. The most important thing for us in our business model as we develop 210 00:16:26,200 --> 00:16:31,560 it is we're leaning into the forward-deployed engineering model, where we want ourselves and 211 00:16:31,560 --> 00:16:36,280 our engineers to be deeply integrated with the process, because I think that's where a lot of 212 00:16:36,280 --> 00:16:41,640 the value lies, not just in selling a piece of software and having the customers sort of try 213 00:16:41,640 --> 00:16:46,440 to develop it themselves. The other thing is we're trying to keep the tech really focused 214 00:16:47,000 --> 00:16:51,000 so that we can ship it, we can make it mobile, we can send it to where it needs 215 00:16:51,000 --> 00:16:56,040 to go really quickly. So trying to minimize as much overhead as possible. 216 00:16:58,920 --> 00:17:04,440 Now, really briefly, I want to say that within the competitive landscape, there are a lot of 217 00:17:05,640 --> 00:17:12,520 XR and VR training tools, and they really fall into this bucket where they're learning management 218 00:17:12,520 --> 00:17:19,320 systems that you'll see, and they all are within a controlled environment. And what we've been 219 00:17:19,320 --> 00:17:21,000 doing is we've tried to put a lot of that into the competitive landscape, and we've tried to put 220 00:17:21,000 --> 00:17:28,760 a lot of them into deep learning so that we can actually push ourselves into something that is for 221 00:17:28,760 --> 00:17:34,280 augmenting operations, and it can be used in the field. So it's not meant to be a learning 222 00:17:34,280 --> 00:17:39,400 management system, it's meant to be a spatial computing system. And with that, this is a 223 00:17:39,400 --> 00:17:45,720 two-dimensional chart, there's a third dimension here as well, where a thing I'm really critical of 224 00:17:45,720 --> 00:17:50,760 is that especially in the competitive, or in our competitors, it really feels like video game graphics. 225 00:17:51,000 --> 00:17:57,160 not really about that i want us to be developing distraction-free mixed reality that's using these 226 00:17:57,160 --> 00:18:03,480 real 3d assets that you know the workers uh the workforce really needs and that can help them 227 00:18:03,480 --> 00:18:11,720 actually integrate with their real operational environment so we've been working on a number 228 00:18:11,720 --> 00:18:17,560 of things i think uh aside from more you know industrial partners one of the biggest partnerships 229 00:18:17,560 --> 00:18:24,440 we had was in 2021 we worked with snap inc so snapchat made some experimental augmented reality 230 00:18:24,440 --> 00:18:30,920 glasses and that really kicked us off into integrating what we were which was an ai company 231 00:18:30,920 --> 00:18:35,720 into one that kind of pushed more into system solutions that could be represented 232 00:18:35,720 --> 00:18:42,520 in the spatial physical space and through that we've been able to work with multiple different 233 00:18:42,520 --> 00:18:47,320 companies and different innovation hubs to continue developing this and that's where we 234 00:18:47,560 --> 00:18:57,320 are today and hopefully continuing with rolls-royce this is our team you met cara my co-founder software 235 00:18:57,320 --> 00:19:06,600 engineer developer i'm also a engineer by trade worked in nanoscale and our team includes craig and 236 00:19:06,600 --> 00:19:15,680 ray two kind of amazing people who are very technical yet also deeply love being on the factory floor 237 00:19:17,560 --> 00:19:24,720 and that is it for us i want to thank everyone for this very brief presentation happy to have 238 00:19:24,720 --> 00:19:28,800 a discussion and i know uh you probably have a lot of questions and we're here to answer them 239 00:19:29,440 --> 00:19:32,080 i have tons of extra photos to share as well 240 00:19:36,720 --> 00:19:40,640 thank you so much for your time and presentation uh rolls-royce team over to you 241 00:19:45,040 --> 00:19:47,520 hey um if i may get the ball rolling 242 00:19:47,560 --> 00:19:53,840 oh thanks for that guys that was actually quite uh informative especially you know 243 00:19:53,840 --> 00:20:00,560 seeing that videos because i understand this is a problem statement where a two-dimensional 244 00:20:00,560 --> 00:20:07,360 slideshow is not the best way to demonstrate the capability so i appreciate those videos 245 00:20:09,200 --> 00:20:12,640 i think one thing which you highlighted was that 246 00:20:14,880 --> 00:20:16,560 in my opinion it's a 247 00:20:17,560 --> 00:20:22,720 strength but i'm not sure how it directly answers the problem statement right so don't take that as 248 00:20:22,720 --> 00:20:29,600 a negative comment that the fact that you are able to capture and then overlay in real environment 249 00:20:30,400 --> 00:20:38,000 how would you see this solution being used because what we want to start off with is 250 00:20:38,000 --> 00:20:44,000 used in the training environment because that's where it gets easier to implement due to 251 00:20:44,000 --> 00:20:47,040 airworthiness requirements we don't want to go this this 252 00:20:47,560 --> 00:20:49,520 software to start making decisions, 253 00:20:49,520 --> 00:20:50,520 but in the training element. 254 00:20:50,520 --> 00:20:53,780 So how would you build that? 255 00:20:53,780 --> 00:20:58,780 Would you need some photos and videos of our current engines? 256 00:20:59,260 --> 00:21:04,040 And then we have a set of instructions and SOPs 257 00:21:04,040 --> 00:21:07,340 that tell us how to take it apart and put it back together. 258 00:21:07,340 --> 00:21:12,160 So how would that be built to augment the training 259 00:21:12,160 --> 00:21:15,220 of a new operator or a new technician? 260 00:21:17,560 --> 00:21:22,560 If I'm understanding the statement here is that 261 00:21:25,060 --> 00:21:27,680 you have all of these training materials already 262 00:21:27,680 --> 00:21:31,100 and they are tied to real assets. 263 00:21:31,100 --> 00:21:35,260 And sort of where I may have painted actually 264 00:21:35,260 --> 00:21:37,680 a little too quickly over the fact that like 265 00:21:37,680 --> 00:21:41,260 we have developed this compute that goes with it. 266 00:21:41,260 --> 00:21:44,100 And I think that's the platform for integrating 267 00:21:44,100 --> 00:21:46,100 all of those technical manuals. 268 00:21:46,100 --> 00:21:47,360 And the idea is that 269 00:21:47,360 --> 00:21:49,900 within the software you are using it 270 00:21:49,900 --> 00:21:51,800 as a learning management system 271 00:21:51,800 --> 00:21:54,960 in the sense of you're parsing through this, 272 00:21:54,960 --> 00:21:57,480 a PDF technical manual, for example. 273 00:21:57,480 --> 00:22:01,120 But what we wanna do is provide a way for your teams 274 00:22:01,120 --> 00:22:04,780 to quickly fill in and augment that PDF 275 00:22:04,780 --> 00:22:06,880 with spatial information. 276 00:22:06,880 --> 00:22:09,100 And that's the spatial computing part is 277 00:22:09,100 --> 00:22:12,540 just like you would annotate a PDF with comments and texts 278 00:22:12,540 --> 00:22:14,120 and potentially imagery, 279 00:22:14,120 --> 00:22:17,360 we would provide the way as well with can be done through 280 00:22:17,360 --> 00:22:20,080 the headsets themselves or with mobile devices 281 00:22:20,080 --> 00:22:23,580 to continue to pull in 3D assets. 282 00:22:23,580 --> 00:22:26,180 And I know that you probably have lots of CAD models 283 00:22:26,180 --> 00:22:28,580 that could be processed in this way, 284 00:22:28,580 --> 00:22:32,360 but similarly, you could actually get real variants 285 00:22:32,360 --> 00:22:35,840 as examples scanned and brought in too, 286 00:22:35,840 --> 00:22:39,060 but the source of truth for the platform would be this PDF 287 00:22:39,060 --> 00:22:42,420 that gets put onto this computing platform. 288 00:22:42,420 --> 00:22:45,620 So we're sort of almost taking that as table stakes here, 289 00:22:46,500 --> 00:22:46,900 which we should have made clear, you know, in the beginning, 290 00:22:46,900 --> 00:22:48,640 sort of make clear when, you know, 291 00:22:48,640 --> 00:22:49,840 now that you bring it out. 292 00:22:52,580 --> 00:22:53,740 All right, thanks for that. 293 00:22:53,740 --> 00:22:56,880 And the other question I have is on the hardware. 294 00:22:57,760 --> 00:23:02,000 Is that a off-the-shelf VR solution 295 00:23:02,000 --> 00:23:05,120 and are you hardware agnostic or? 296 00:23:07,620 --> 00:23:09,840 Off-the-shelf hardware agnostic. 297 00:23:10,940 --> 00:23:14,240 Here we're using specifically the MetaQuest 3. 298 00:23:14,240 --> 00:23:16,040 It is right now the best all-in-one headset 299 00:23:16,040 --> 00:23:19,220 that you can just pop off the shelf. 300 00:23:19,220 --> 00:23:22,540 The compute we're using NVIDIA's Orin, 301 00:23:23,620 --> 00:23:25,100 which potentially we would upgrade 302 00:23:25,100 --> 00:23:27,560 to the newer version that's out now, 303 00:23:27,560 --> 00:23:30,800 but those provide all the compute capability 304 00:23:30,800 --> 00:23:32,820 and we, you know, ship a router. 305 00:23:32,820 --> 00:23:36,000 And so, you know, our clients and customers, 306 00:23:36,000 --> 00:23:37,960 they can choose which tech they want. 307 00:23:37,960 --> 00:23:40,000 We sort of code everything very much 308 00:23:40,940 --> 00:23:43,720 to be as interoperable as possible. 309 00:23:46,040 --> 00:23:47,040 Yeah. 310 00:23:47,040 --> 00:23:47,880 Yeah, Arjen. 311 00:23:49,960 --> 00:23:51,200 Thank you. 312 00:23:51,200 --> 00:23:52,020 Two questions. 313 00:23:52,020 --> 00:23:54,100 How, if this is a training platform, 314 00:23:54,100 --> 00:23:56,760 how do you monitor training progress 315 00:23:56,760 --> 00:23:59,520 and how do you monitor training success 316 00:23:59,520 --> 00:24:01,320 and how gets that documented? 317 00:24:05,580 --> 00:24:08,660 Yeah, so we right now don't have a way 318 00:24:08,660 --> 00:24:11,840 to monitor that success aside from integrating 319 00:24:13,160 --> 00:24:15,620 whatever, you know, you would need, 320 00:24:15,620 --> 00:24:18,200 in terms of following that technical manual. 321 00:24:19,140 --> 00:24:20,820 But from that perspective, 322 00:24:20,820 --> 00:24:23,280 since we're sort of kind of coding everything 323 00:24:23,280 --> 00:24:25,260 to a technical manual, 324 00:24:25,260 --> 00:24:26,560 we would just have to work with the teams 325 00:24:26,560 --> 00:24:30,120 to see what are those actual checkpoints that matter. 326 00:24:30,120 --> 00:24:32,800 And then for us, we can sort of build out exactly 327 00:24:32,800 --> 00:24:35,300 what's needed for tracking, for metrics, 328 00:24:35,300 --> 00:24:37,320 and how to get them out to where they need to be, 329 00:24:37,320 --> 00:24:39,400 especially for say like auditing 330 00:24:39,400 --> 00:24:42,160 or tracking that type of learning. 331 00:24:42,160 --> 00:24:45,540 And this is something to add on to what Bill's saying, 332 00:24:45,540 --> 00:24:48,740 is we would love to work with our customer 333 00:24:48,740 --> 00:24:50,800 and to work with you, 334 00:24:50,800 --> 00:24:53,160 because I assume Rolls-Royce already has 335 00:24:53,160 --> 00:24:56,120 a pretty standard training process. 336 00:24:56,120 --> 00:25:00,560 And so to ingest yours and add that into the system 337 00:25:00,560 --> 00:25:04,240 so that we can make sure we're hitting the same benchmarks, 338 00:25:04,240 --> 00:25:05,560 because as technicians, 339 00:25:05,560 --> 00:25:08,960 it doesn't really matter to us what the benchmarks are. 340 00:25:08,960 --> 00:25:10,880 It's really like your source of truth 341 00:25:10,880 --> 00:25:13,220 that we want to be ingesting in our system. 342 00:25:15,540 --> 00:25:17,680 And so that's something that we can do. 343 00:25:17,680 --> 00:25:19,500 And I think that's something that we'll be working on 344 00:25:19,500 --> 00:25:20,400 in the future as well. 345 00:25:20,400 --> 00:25:21,280 So thank you for that. 346 00:25:21,280 --> 00:25:22,580 And I think that's pretty much it. 347 00:25:22,580 --> 00:25:23,840 Thank you for that, Bill. 348 00:25:23,840 --> 00:25:25,320 Thank you. 349 00:25:25,320 --> 00:25:25,820 OK. 350 00:25:25,820 --> 00:25:27,080 Thank you. 351 00:25:27,080 --> 00:25:30,660 OK, you mentioned benchmarking and auditing. 352 00:25:30,660 --> 00:25:34,200 As a training aid, can this be used as an overlay 353 00:25:34,200 --> 00:25:37,080 to make sure all the parts are present 354 00:25:37,080 --> 00:25:38,940 and highlight any that aren't? 355 00:25:42,360 --> 00:25:42,860 Yeah. 356 00:25:42,860 --> 00:25:43,780 So we should . 357 00:25:43,780 --> 00:25:44,280 Sorry. 358 00:25:44,280 --> 00:25:45,300 I was switching audio here. 359 00:25:45,300 --> 00:25:48,380 So this one is about augmentation. 360 00:25:48,380 --> 00:25:52,200 Not only could we structure it as a step 361 00:25:52,200 --> 00:25:54,960 through technical process or a step 362 00:25:54,960 --> 00:25:57,740 through learning experience, you can also just 363 00:25:57,740 --> 00:26:01,080 do this as an overlay for your variant. 364 00:26:01,080 --> 00:26:03,960 You could have, again, the real scan or also 365 00:26:03,960 --> 00:26:07,220 the expected layout of whatever parts that 366 00:26:07,220 --> 00:26:09,540 are needed from CAD models. 367 00:26:09,540 --> 00:26:13,080 And especially if you have set ways 368 00:26:13,080 --> 00:26:15,240 that you organize your parts and materials before you start 369 00:26:15,240 --> 00:26:18,160 You can especially program those in to have overlays 370 00:26:18,160 --> 00:26:19,680 so that people can compare directly. 371 00:26:21,800 --> 00:26:24,380 So would you highlight anything that's missing 372 00:26:24,380 --> 00:26:25,760 that should be there? 373 00:26:27,140 --> 00:26:28,620 You potentially could. 374 00:26:28,720 --> 00:26:30,220 This is something that would have to be scoped 375 00:26:30,220 --> 00:26:33,160 because since we have front-facing cameras, 376 00:26:33,860 --> 00:26:36,660 it's very straightforward to do CV, 377 00:26:36,840 --> 00:26:40,140 but that requires actually running a bit of scoping 378 00:26:40,140 --> 00:26:43,680 to understand how clean those setups would be, 379 00:26:43,680 --> 00:26:46,260 how well the CV will take based on your parts, 380 00:26:46,400 --> 00:26:49,360 if they're too varied and too fine. 381 00:26:49,500 --> 00:26:51,200 But that's just something that we can work on. 382 00:26:51,700 --> 00:26:54,020 The importance of the platform that we're, 383 00:26:54,320 --> 00:26:56,060 or I should say the system that we work in, 384 00:26:56,360 --> 00:26:58,940 is to very quickly enable that pipeline 385 00:26:58,940 --> 00:27:00,900 from sort of the headset experience 386 00:27:00,900 --> 00:27:05,180 to getting it onto an AI-powered device, 387 00:27:05,740 --> 00:27:07,560 something that you can run just generally. 388 00:27:07,680 --> 00:27:10,300 If any of your other teams are running any ML, 389 00:27:10,800 --> 00:27:13,560 it would be fairly straightforward 390 00:27:13,560 --> 00:27:13,660 to run that pipeline. 391 00:27:13,680 --> 00:27:13,700 It would be very straightforward 392 00:27:13,700 --> 00:27:15,660 to get it operating on the compute 393 00:27:15,660 --> 00:27:16,820 that we could send over. 394 00:27:18,440 --> 00:27:18,880 Okay. 395 00:27:19,560 --> 00:27:20,000 Yeah. 396 00:27:20,320 --> 00:27:21,700 But I also know that that's a broader, 397 00:27:22,080 --> 00:27:23,660 kind of like a broader integration 398 00:27:23,660 --> 00:27:25,860 than purely training and learning. 399 00:27:26,660 --> 00:27:28,560 Yeah, I know, Mick, where you're getting at, mate, 400 00:27:28,660 --> 00:27:30,680 because we are looking at comparing engines 401 00:27:31,260 --> 00:27:32,300 coming in and going out. 402 00:27:32,360 --> 00:27:34,300 So can this be effectively the way 403 00:27:34,300 --> 00:27:36,780 we do an engine inspection 404 00:27:36,780 --> 00:27:39,380 to check for missing parts? 405 00:27:40,700 --> 00:27:41,140 Yeah. 406 00:27:41,140 --> 00:27:46,280 The capabilities, and again, 407 00:27:46,360 --> 00:27:48,200 I kind of throw the Quest 3 408 00:27:48,200 --> 00:27:50,420 as being a great device here 409 00:27:50,420 --> 00:27:53,000 just because it does have those front-facing cameras. 410 00:27:53,000 --> 00:27:55,960 So what your technicians see 411 00:27:55,960 --> 00:27:58,380 is also captured in real-time. 412 00:28:07,520 --> 00:28:08,440 Okay. 413 00:28:08,820 --> 00:28:11,120 Any other questions? 414 00:28:11,140 --> 00:28:16,800 Yep, maybe just one from me. 415 00:28:17,300 --> 00:28:18,880 Bill, thanks for your demonstration, 416 00:28:19,160 --> 00:28:21,600 especially on your Gaussian splat. 417 00:28:21,780 --> 00:28:23,180 I think that was quite interesting. 418 00:28:24,200 --> 00:28:27,120 And I also appreciate that you guys chose the Quest 3, 419 00:28:27,240 --> 00:28:28,800 which is one of the, I believe, 420 00:28:28,880 --> 00:28:32,400 one of the latest wearables out there. 421 00:28:32,860 --> 00:28:34,700 And yeah, my question is on training 422 00:28:34,700 --> 00:28:36,920 because as we know, technicians, 423 00:28:37,200 --> 00:28:38,060 when they come for training, 424 00:28:38,220 --> 00:28:39,900 some of them are new to wearables. 425 00:28:40,520 --> 00:28:41,020 And one of the things that I think is important 426 00:28:41,020 --> 00:28:41,120 is that when you're training, 427 00:28:41,120 --> 00:28:42,980 one of the common feedback 428 00:28:42,980 --> 00:28:45,780 is that it's on ergonomics. 429 00:28:46,480 --> 00:28:50,300 And the feedback I got was that 430 00:28:50,300 --> 00:28:53,220 some of them are concerned with motion sickness. 431 00:28:53,480 --> 00:28:55,120 Some may comment that it's heavy, 432 00:28:55,340 --> 00:28:55,780 it's bulky, 433 00:28:56,300 --> 00:28:59,120 and it may be uncomfortable for new users. 434 00:28:59,680 --> 00:29:01,680 So in the perspective of Malamute, 435 00:29:02,420 --> 00:29:06,000 do you expect new users to wear wearables 436 00:29:06,000 --> 00:29:07,480 for a long period of time? 437 00:29:08,100 --> 00:29:09,420 Of course, this is dependent 438 00:29:09,420 --> 00:29:10,780 on the type of training 439 00:29:10,780 --> 00:29:11,000 that you're doing. 440 00:29:11,000 --> 00:29:11,640 So I think that's a very important thing 441 00:29:11,640 --> 00:29:12,440 that we conduct here in Rolls-Royce. 442 00:29:12,920 --> 00:29:14,080 But do you challenge that 443 00:29:14,080 --> 00:29:17,540 they do not have to wear for a long time? 444 00:29:17,960 --> 00:29:19,940 Or that if users have to wear for a long time, 445 00:29:20,060 --> 00:29:22,700 do you think there's other solutions around it? 446 00:29:24,280 --> 00:29:25,820 I have so many answers. 447 00:29:26,680 --> 00:29:27,840 No, I love this question 448 00:29:27,840 --> 00:29:30,720 because there is a thesis that I have, 449 00:29:30,760 --> 00:29:33,920 which is I want to develop a headset experience 450 00:29:33,920 --> 00:29:35,100 where you take the headset off. 451 00:29:36,140 --> 00:29:38,020 I think that's the most important thing 452 00:29:38,020 --> 00:29:39,100 is that the headset is there 453 00:29:39,100 --> 00:29:40,960 to like ingrain an idea 454 00:29:40,960 --> 00:29:41,760 into the brain 455 00:29:41,760 --> 00:29:43,740 and the tech lifts it up. 456 00:29:44,520 --> 00:29:45,640 Some of the ergonomics, 457 00:29:45,740 --> 00:29:47,880 we've kind of re-kitted the headset 458 00:29:47,880 --> 00:29:49,420 with a different headband 459 00:29:49,420 --> 00:29:51,440 and remove the visor, 460 00:29:51,660 --> 00:29:52,640 the light shield, 461 00:29:52,740 --> 00:29:55,260 specifically because we want the user 462 00:29:55,260 --> 00:29:56,640 to be able to flip it up. 463 00:29:57,380 --> 00:29:59,020 So the headset comes down 464 00:29:59,020 --> 00:30:00,180 when you need that overlay, 465 00:30:00,380 --> 00:30:01,500 when you need those instructions, 466 00:30:01,640 --> 00:30:02,620 when you need that guidance. 467 00:30:02,880 --> 00:30:04,880 But we really want sort of the user 468 00:30:04,880 --> 00:30:06,240 to get a lay of the land 469 00:30:06,240 --> 00:30:07,820 and sort of pop it off. 470 00:30:07,820 --> 00:30:08,980 And this is an experience 471 00:30:08,980 --> 00:30:10,320 we had with Snapchat. 472 00:30:10,320 --> 00:30:12,780 When we were using their full AR glasses, 473 00:30:13,580 --> 00:30:15,940 it was actually a power limitation 474 00:30:15,940 --> 00:30:18,080 that we didn't want them using it all the time 475 00:30:18,080 --> 00:30:20,100 because the original engineering ones 476 00:30:20,100 --> 00:30:22,020 could only last for maybe 18 minutes. 477 00:30:22,480 --> 00:30:23,820 But what we wanted them to do 478 00:30:23,820 --> 00:30:25,280 was we wanted all of the workforce 479 00:30:25,280 --> 00:30:26,320 to click them on, 480 00:30:26,960 --> 00:30:29,320 understand the world with the digital overlay, 481 00:30:29,640 --> 00:30:32,020 and then click them off and get to work. 482 00:30:32,660 --> 00:30:34,460 And here in the same sense is 483 00:30:34,460 --> 00:30:37,240 you really want them to get used to the real engine. 484 00:30:37,860 --> 00:30:39,880 And so that is as much guidance 485 00:30:39,880 --> 00:30:40,120 as they take. 486 00:30:40,120 --> 00:30:42,300 I know that motion sickness 487 00:30:42,300 --> 00:30:44,080 is still going to affect people. 488 00:30:44,080 --> 00:30:45,400 The ergonomics are still there. 489 00:30:45,400 --> 00:30:46,900 We don't use controllers. 490 00:30:46,900 --> 00:30:48,820 This is a kind of like a big thing for us. 491 00:30:48,820 --> 00:30:50,980 We try to minimize the headset experience 492 00:30:50,980 --> 00:30:54,120 from to be controller free as much as possible, 493 00:30:54,120 --> 00:30:55,900 just using voice and vision 494 00:30:56,680 --> 00:30:59,320 to minimize that usage, the motion, 495 00:30:59,320 --> 00:31:01,480 the needing to learn how to menu, et cetera. 496 00:31:02,440 --> 00:31:06,360 But we believe that it's worth investing in this 497 00:31:06,360 --> 00:31:08,560 because we're watching the technology 498 00:31:08,560 --> 00:31:09,960 get better and better year over year. 499 00:31:10,120 --> 00:31:13,400 And we've been fortunate enough 500 00:31:13,400 --> 00:31:17,740 to see the AR glasses themselves develop 501 00:31:17,740 --> 00:31:21,020 that in about maybe five years, 502 00:31:21,020 --> 00:31:24,240 we won't even have a headset camera system anymore. 503 00:31:24,240 --> 00:31:27,580 We'll be optical see-through. 504 00:31:27,580 --> 00:31:30,940 They'll just be back to that glasses form factor. 505 00:31:30,940 --> 00:31:33,160 And so developing the system that can support that, 506 00:31:33,160 --> 00:31:34,600 I think is super critical 507 00:31:34,600 --> 00:31:37,340 rather than just building something specifically 508 00:31:37,340 --> 00:31:38,600 for the MetaQuest. 509 00:31:40,120 --> 00:31:41,620 Thank you. 510 00:31:41,620 --> 00:31:42,880 That was really interesting. 511 00:31:51,200 --> 00:31:52,820 Any final questions from the Rolls-Royce team 512 00:31:52,820 --> 00:31:53,820 or that's it? 513 00:31:56,880 --> 00:32:01,380 I think one last question from me would be that 514 00:32:03,820 --> 00:32:06,880 I think it goes back to the previous question I asked 515 00:32:06,880 --> 00:32:09,900 and then kind of following on to what Zohan asked about the headset. 516 00:32:10,120 --> 00:32:15,740 So with the element of training being done, 517 00:32:15,740 --> 00:32:20,580 I can see how the Quest can fulfill that. 518 00:32:20,580 --> 00:32:24,660 But to basically Mick's point about overlaying 519 00:32:24,660 --> 00:32:28,740 on an actual physical asset, 520 00:32:30,260 --> 00:32:34,660 then I'm assuming that's where it gets a lot more challenging 521 00:32:34,660 --> 00:32:38,980 using a Quest-like way because it's not a see-through. 522 00:32:40,120 --> 00:32:41,040 Right. 523 00:32:41,040 --> 00:32:43,160 So if I want to take something and overlay 524 00:32:43,160 --> 00:32:48,000 on an actual physical asset, how would that be achieved? 525 00:32:48,000 --> 00:32:48,500 Oh, no, no. 526 00:32:48,500 --> 00:32:49,960 That would work too. 527 00:32:49,960 --> 00:32:51,900 My credit or the thing I'm pointing out 528 00:32:51,900 --> 00:32:56,240 is that the MetaQuest uses the cameras as see-through. 529 00:32:56,240 --> 00:33:00,240 So there you can still, and actually I 530 00:33:00,240 --> 00:33:04,460 mean this is probably a greater question for people 531 00:33:04,460 --> 00:33:06,800 on an actual operational floor, if they 532 00:33:06,800 --> 00:33:10,080 can wear these video see-through devices, if that's, 533 00:33:10,120 --> 00:33:12,160 you know, fine with the headset, then yes, 534 00:33:12,160 --> 00:33:14,780 the overlay is 100% doable. 535 00:33:14,780 --> 00:33:17,200 The MetaQuest 3 does that perfectly. 536 00:33:17,200 --> 00:33:20,500 It's QR code tracking, works spot on. 537 00:33:20,500 --> 00:33:22,620 So that would work directly. 538 00:33:22,620 --> 00:33:27,280 But it's always this sort of point that there's still video. 539 00:33:27,280 --> 00:33:29,540 Like there's still a camera being re-rendered 540 00:33:29,540 --> 00:33:31,420 of your real world versus where we're 541 00:33:31,420 --> 00:33:35,660 headed in the next couple of years, which is just full optical. 542 00:33:35,660 --> 00:33:36,160 OK. 543 00:33:36,160 --> 00:33:37,280 Got it, got it. 544 00:33:37,280 --> 00:33:40,040 OK. 545 00:33:40,040 --> 00:33:40,840 That's it from me. 546 00:33:45,260 --> 00:33:48,660 Any final questions from the Rolls-Royce team? 547 00:33:52,340 --> 00:33:53,760 What about you guys? 548 00:33:53,760 --> 00:33:58,360 You guys have any questions for us, Malamud? 549 00:33:58,360 --> 00:33:59,160 So many. 550 00:33:59,160 --> 00:34:02,360 I want to save everybody's time. 551 00:34:02,360 --> 00:34:04,020 But I know because I really I would 552 00:34:04,020 --> 00:34:07,040 love to truly understand what this, you know, 553 00:34:07,040 --> 00:34:09,080 the training environment is like and especially 554 00:34:09,080 --> 00:34:11,200 what the working and operational environment. 555 00:34:11,200 --> 00:34:13,900 That's really where the tons of questions that I have, 556 00:34:13,900 --> 00:34:17,000 I want to know what tech you're using on the inside 557 00:34:17,000 --> 00:34:18,340 because we're developing everything 558 00:34:18,340 --> 00:34:21,840 to be agnostic to your tech. 559 00:34:21,840 --> 00:34:25,080 But that doesn't mean that it's not important, you know, 560 00:34:25,080 --> 00:34:27,140 how all of your trainers are interfacing 561 00:34:27,140 --> 00:34:29,940 with the different CAD technologies, ERP, 562 00:34:29,940 --> 00:34:31,580 MES technologies, et cetera. 563 00:34:31,580 --> 00:34:34,020 Like, you know, to understand that can better 564 00:34:34,020 --> 00:34:38,300 help us learn and develop exactly to your workflows. 565 00:34:38,300 --> 00:34:41,540 But those are very, very in the future. 566 00:34:41,540 --> 00:34:42,140 That's fine. 567 00:34:42,140 --> 00:34:44,300 I think at least we can give you an overview. 568 00:34:44,300 --> 00:34:44,800 Yeah. 569 00:34:44,800 --> 00:34:46,800 I can give you the what is the current state, 570 00:34:46,800 --> 00:34:50,800 and I can leave it to experts like Arianne and, well, 571 00:34:50,800 --> 00:34:52,300 pretty much everyone else on the call 572 00:34:52,300 --> 00:34:55,060 to see what future state we are looking at. 573 00:34:55,060 --> 00:34:57,680 But obviously, today, a lot of the training 574 00:34:57,680 --> 00:34:59,800 is done through three modalities. 575 00:34:59,800 --> 00:35:04,060 One of them is the standard paper, right? 576 00:35:04,060 --> 00:35:07,520 So we have procedural steps, what we're doing, 577 00:35:07,520 --> 00:35:08,220 right? 578 00:35:08,220 --> 00:35:10,460 We have different sections of the engine, 579 00:35:10,460 --> 00:35:13,460 which we call modules. 580 00:35:13,460 --> 00:35:16,220 So 01, 02, 03, 04, it's basically 581 00:35:16,220 --> 00:35:23,220 going from roughly front to back with a random 07 and 05 module. 582 00:35:23,220 --> 00:35:25,980 And each of those modules have instructions 583 00:35:25,980 --> 00:35:30,420 on how do we take it apart and put it back together. 584 00:35:30,420 --> 00:35:35,700 And this is all done as an instructional document. 585 00:35:35,700 --> 00:35:37,920 This is complemented by the. 586 00:35:38,220 --> 00:35:41,760 Official document, which we call the engine manuals, 587 00:35:41,760 --> 00:35:45,640 that list down this, which not during training, 588 00:35:45,640 --> 00:35:48,000 but during actual operations, the operator 589 00:35:48,000 --> 00:35:53,040 will refer to step one, check this bolt, step two, 590 00:35:53,040 --> 00:35:57,540 unbolt bolt number 5, 10, and all of that. 591 00:35:57,540 --> 00:36:02,640 Then there is an element of some videos and interactions 592 00:36:02,640 --> 00:36:05,340 on some of these procedures. 593 00:36:05,340 --> 00:36:08,220 And then finally, they go down to the real asset, 594 00:36:08,220 --> 00:36:09,960 and we have some training engines where 595 00:36:09,960 --> 00:36:14,340 they go through this over weeks on how do you physically 596 00:36:14,340 --> 00:36:18,100 do this dismantling and putting it back together, right? 597 00:36:18,100 --> 00:36:19,960 In terms of some of the tech, I'm 598 00:36:19,960 --> 00:36:22,160 not sure if anyone else in the call 599 00:36:22,160 --> 00:36:27,080 is able to elaborate a bit more that we are looking at. 600 00:36:27,080 --> 00:36:28,280 Anything specific? 601 00:36:33,980 --> 00:36:35,460 Not too much, Ariane. 602 00:36:35,460 --> 00:36:38,220 Anything that I guess we are quite, we are not 603 00:36:38,220 --> 00:36:41,220 like, you know, this is a specific tech or a hardware 604 00:36:41,220 --> 00:36:43,940 that we are looking down selected. 605 00:36:47,320 --> 00:36:49,400 I mean, we've got different training scenarios. 606 00:36:49,400 --> 00:36:51,540 So we obviously from very early career, 607 00:36:51,540 --> 00:36:56,420 so we've got apprentices coming in, they're getting trained. 608 00:36:56,420 --> 00:36:58,000 And the way they usually get trained 609 00:36:58,000 --> 00:37:01,720 is generic skills rather than doing a specific procedure. 610 00:37:01,720 --> 00:37:05,500 So they get trained on skills that then transferable. 611 00:37:05,500 --> 00:37:08,080 We're training customers, so we've got customer training 612 00:37:08,080 --> 00:37:11,020 center on specifics that come and help us. 613 00:37:11,020 --> 00:37:15,580 We train up our own people when things and procedures change. 614 00:37:15,580 --> 00:37:22,260 So there's a range of different trainings that we apply. 615 00:37:22,260 --> 00:37:23,860 And Raj, I'm not entirely sure if you 616 00:37:23,860 --> 00:37:25,720 had a specific training procedure in mind 617 00:37:25,720 --> 00:37:29,860 or if that's more general one or if you're doing the process 618 00:37:29,860 --> 00:37:31,360 here, if you don't select something. 619 00:37:31,360 --> 00:37:34,180 But we have different scenarios usually. 620 00:37:34,180 --> 00:37:34,780 Yeah. 621 00:37:34,780 --> 00:37:38,040 So to answer Ariane's question, and I'll 622 00:37:38,040 --> 00:37:40,180 also to make sure Malamud understands, 623 00:37:40,180 --> 00:37:42,960 I think, like Ariane said, for customer training, 624 00:37:42,960 --> 00:37:46,020 there are very specific ones because the customer is only 625 00:37:46,020 --> 00:37:48,480 allowed to do certain things. 626 00:37:48,480 --> 00:37:55,000 In my mind, so for example, if you have seen an engine, 627 00:37:55,000 --> 00:37:58,820 the fan blades, the rotating part that you can see, 628 00:37:58,820 --> 00:38:02,080 the customer is allowed to take that off and put that on. 629 00:38:02,080 --> 00:38:04,200 But if you go all the way down to things 630 00:38:04,200 --> 00:38:06,600 like the combustor, the hot end of the engine, 631 00:38:06,600 --> 00:38:08,040 that's not something that the customer 632 00:38:08,040 --> 00:38:11,220 does, so customer training focuses on that. 633 00:38:11,220 --> 00:38:13,920 And obviously, we have something called LRUs, 634 00:38:13,920 --> 00:38:19,140 line replaceable units, which is outside the engine 635 00:38:19,140 --> 00:38:21,120 where there is no airflow. 636 00:38:21,120 --> 00:38:25,320 You have things like the brain of the engine, the EEC, 637 00:38:25,320 --> 00:38:29,520 the fuel unit, the oil units, the gearboxes. 638 00:38:29,520 --> 00:38:33,220 So these are things that the customer is trained on. 639 00:38:33,220 --> 00:38:37,860 The scope of this is more about Rolls-Royce internal, where 640 00:38:37,860 --> 00:38:41,700 we take apart the entire engine and put it back together. 641 00:38:41,700 --> 00:38:45,420 Now obviously, the extended scope, 642 00:38:45,420 --> 00:38:49,100 it's very nice to have is for us to be providing this 643 00:38:49,100 --> 00:38:52,140 to our customers because then they 644 00:38:52,140 --> 00:38:55,200 can refresh it any time they want rather than depending 645 00:38:55,200 --> 00:38:55,980 on us. 646 00:38:55,980 --> 00:38:59,520 But I think the main scope is for our internal operators 647 00:38:59,520 --> 00:39:02,620 to know how to take apart a full engine 648 00:39:02,620 --> 00:39:04,140 and put it back together. 649 00:39:04,140 --> 00:39:07,860 But for the POC, I think that will be, 650 00:39:07,860 --> 00:39:09,320 of massive scope. 651 00:39:09,320 --> 00:39:12,300 So we will cut it down to, like I mentioned, a few modules. 652 00:39:12,300 --> 00:39:14,460 So we will pick a couple of modules 653 00:39:14,460 --> 00:39:18,180 and focus the POC on those specific modules. 654 00:39:18,180 --> 00:39:19,800 Yeah, no, that makes perfect sense. 655 00:39:19,800 --> 00:39:21,780 But it's good to see that future vision. 656 00:39:21,780 --> 00:39:25,700 I do also imagine you can just throw a kit at your customer 657 00:39:25,700 --> 00:39:29,240 as well so that they don't have to travel too far 658 00:39:29,240 --> 00:39:32,200 and move too much to give them, hopefully. 659 00:39:32,200 --> 00:39:33,640 Especially new customers. 660 00:39:33,640 --> 00:39:37,240 So if I get a new airline, so if American Airlines does not 661 00:39:37,240 --> 00:39:37,740 use engines. 662 00:39:37,740 --> 00:39:41,540 But they start using, even before they 663 00:39:41,540 --> 00:39:44,260 receive their first engine, we can send this kit out for them 664 00:39:44,260 --> 00:39:47,680 to have a feel so that when they come for the formal training, 665 00:39:47,680 --> 00:39:50,520 they are able to ask a lot more questions. 666 00:39:50,520 --> 00:39:54,160 So that is definitely a value add, we can say. 667 00:39:54,160 --> 00:39:55,940 Yeah, that's great. 668 00:39:55,940 --> 00:39:57,300 Thanks for that. 669 00:39:57,300 --> 00:39:59,240 It clears a lot of stuff up. 670 00:39:59,240 --> 00:39:59,860 I appreciate it. 671 00:40:04,420 --> 00:40:07,340 Hey. 672 00:40:07,340 --> 00:40:10,160 Thanks to update training materials today, 673 00:40:10,160 --> 00:40:15,960 such as when those modules were taking the engine apart. 674 00:40:15,960 --> 00:40:18,360 Do you guys frequently change what 675 00:40:18,360 --> 00:40:20,100 would be in the training material? 676 00:40:20,100 --> 00:40:22,880 What's that process like? 677 00:40:22,880 --> 00:40:27,380 We don't change the training material that often. 678 00:40:27,380 --> 00:40:34,820 However, what does happen is we have multiple engine types. 679 00:40:34,820 --> 00:40:37,140 They are called Trend XWB, Trend 1000. 680 00:40:37,140 --> 00:40:38,940 They go on different aircrafts. 681 00:40:38,940 --> 00:40:46,740 But for each engine type, so a Trend 1000 can have seven to nine variants 682 00:40:46,740 --> 00:40:48,900 with very subtle differences. 683 00:40:48,900 --> 00:40:54,420 Now, some of these differences are in terms of the type of parts used. 684 00:40:54,420 --> 00:40:56,700 That usually will not affect the training material, 685 00:40:56,700 --> 00:40:59,340 because it's just the QR code. 686 00:40:59,340 --> 00:41:05,280 But some of the subtle variances can be how the external harnesses or tubes 687 00:41:05,280 --> 00:41:06,520 are routed. 688 00:41:06,520 --> 00:41:12,940 If the internal harnesses are routed because of certain requirements, 689 00:41:12,940 --> 00:41:17,280 then in that case, the training material might be updated. 690 00:41:17,280 --> 00:41:22,280 But in general, especially, we are not using this solution 691 00:41:22,280 --> 00:41:27,760 as a replacement of current training methods, but as an augmentation. 692 00:41:27,760 --> 00:41:33,020 I wouldn't expect every single minute thing to be updated on this. 693 00:41:33,020 --> 00:41:35,220 Now, eventually, if we get there, that's brilliant. 694 00:41:35,220 --> 00:41:35,920 But it should. 695 00:41:35,920 --> 00:41:40,780 We have to really capture the baseline expectations 696 00:41:40,780 --> 00:41:44,700 for a baseline engine variant. 697 00:41:44,700 --> 00:41:45,200 Thank you. 698 00:41:52,560 --> 00:41:53,580 All right. 699 00:41:53,580 --> 00:41:57,680 I guess that's it from all the questions. 700 00:42:00,760 --> 00:42:03,340 All right, so thank you, everyone, for your time. 701 00:42:03,340 --> 00:42:05,560 Just wanted to quickly check also, Janelle, do you 702 00:42:05,560 --> 00:42:07,220 have any questions from Enterprise Singapore's end? 703 00:42:07,220 --> 00:42:15,200 Hi, nope, all good from my side. 704 00:42:15,200 --> 00:42:18,480 OK, thank you very much for everyone's time then. 705 00:42:18,480 --> 00:42:21,200 So just before I quickly end today's session, 706 00:42:21,200 --> 00:42:23,680 let me just do a very quick reminder. 707 00:42:23,680 --> 00:42:28,860 So again, a gentle reminder that we will need to submit two deliverables 708 00:42:28,860 --> 00:42:33,800 by 29th of June, Monday, 12 PM. 709 00:42:33,800 --> 00:42:34,760 Oh, yeah. 710 00:42:34,760 --> 00:42:35,260 12. 711 00:42:35,260 --> 00:42:36,920 Oh, it's 12 AM, basically midnight. 712 00:42:36,920 --> 00:42:40,380 So the first set of deliverable is a refined proposal 713 00:42:40,380 --> 00:42:43,840 slide deck of up to 20 slides following today's session itself. 714 00:42:43,840 --> 00:42:45,640 Please do add the information that's 715 00:42:45,640 --> 00:42:48,460 asked by Rolls-Royce into this slide deck itself, 716 00:42:48,460 --> 00:42:50,740 or further enhancements into this slide deck. 717 00:42:50,740 --> 00:42:53,440 Next, please do send your introductory two minutes 718 00:42:53,440 --> 00:42:57,580 video of your solution on how it best fits Rolls-Royce challenge 719 00:42:57,580 --> 00:42:59,500 statement also. 720 00:42:59,500 --> 00:43:01,540 So please do submit both deliverables 721 00:43:01,540 --> 00:43:03,380 onto the challenge platform. 722 00:43:03,380 --> 00:43:04,460 You can access it all via the challenge platform. 723 00:43:04,460 --> 00:43:09,380 Link by logging into your account and clicking on the MySpace button 724 00:43:09,380 --> 00:43:11,840 on the top right hand corner of the screen. 725 00:43:11,840 --> 00:43:15,600 So if there's nothing else, then thank you everyone so much for your time 726 00:43:15,600 --> 00:43:18,580 for joining today's clarification meeting. 727 00:43:18,580 --> 00:43:20,040 And that's it for me. 728 00:43:20,040 --> 00:43:21,040 Thank you and everyone. 729 00:43:21,040 --> 00:43:22,040 Have a nice day. 730 00:43:22,040 --> 00:43:23,040 Thanks, everyone. 731 00:43:23,040 --> 00:43:24,040 Thank you. 732 00:43:24,040 --> 00:43:25,040 Thank you. 733 00:43:25,040 --> 00:43:26,040 Thank you. 734 00:43:26,040 --> 00:43:27,040 Bye. 735 00:43:27,040 --> 00:43:27,140 Bye.