Hi, everyone.
Okay, let's give a bit of time for everyone to join the call.
Okay.
Just wanted to check, is everyone from Malamud?
Yeah.
We have one more who's joining right now.
Sure.
Bill, right?
Yeah, Bill.
Okay, so just go.
Hello, Matthew, Gillian, Janelle.
I see that Janelle from Enterprise Singapore is here.
Will there be anyone else from Enterprise Singapore joining us too?
Nope, just me today.
Okay, then as for Rolls-Royce, I see Gillian is here, Matthew is here.
Is there anyone else that's joining from Rolls-Royce too?
I think we can kickstart.
Yeah, most of them are here.
Sure.
Okay.
So, we're going to start with a quick introduction of what we're supposed to do today.
And then after this, I'll let both teams introduce each other.
And then I'll just very quickly, you know, start with the team's presentation.
So, just to very quickly run through the goal of today's session.
So, we're here all today for the clarification phase meeting for Malamud and also Rolls-Royce.
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.
Followed by a 20-minute Q&A session between, you know, Rolls-Royce and also Rolls-Royce Singapore, if there are any other questions.
And Malamud.
Afterwards, there's a 10-minute buffer just in case the meeting actually overruns.
So, not to worry.
I'll actually have the time for each of those sessions itself.
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.
Of course, 4 p.m. GMP plus 8.
So, the first set of deliverable is a refined proposal deck of up to 20 slides following today's meeting.
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.
Likewise, this is also a good opportunity for the Malamud team to ask any clarifying questions to the Rolls-Royce team.
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.
This would be a good opportunity.
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.
So, that's the first deliverable.
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.
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.
Are there any questions?
Nope, all good for me.
Okay, so in this case, I'll just let the team introduce themselves.
So, would the Malamud team like to introduce yourselves and very quickly start the presentation?
Yeah, good morning here from New York City.
It's great to meet you all.
I am Cara Meyer, the founder of Malamud, and I'm joined by my co-founder, Bill Leon.
I'm sorry.
Yeah.
Hi, everyone.
Um.
I think you just got to use one audio.
Yep.
So I see it's just a little.
What's this happening?
I don't know.
Neither of us.
That's great.
There we go.
Okay.
Apologies, everyone.
Uh, just morning in New York here as well.
Happy to meet, uh, find us in the same room.
So hopefully our audio won't collect too much.
Um, but yeah, I'm Bill.
I am the co-founder of Malamute as well.
Uh, we both sort of work out of New York city, but we've been all up and down, uh, the East
coast here, uh, working with different manufacturers over the last five years and really excited
to meet everyone at Rolls Royce, uh, and hear about your problem set.
Yeah.
We'll talk to you soon.
Okay.
Thank you for introducing yourself.
Uh, would the Rolls Royce team like to introduce yourselves and your roles to the Malamute team
was also just so they're familiar.
Sure.
Uh, firstly, thanks guys.
This must be really we, ours, and I can see the background behind you is not a
wallpaper, but it's literally.
Dawn.
So appreciate that.
Uh, I am Raj.
I am, uh.
the technology strategy lead for disassembly technologies so basically how we take about
engines and put them back together and the reason you are up so early is probably because of me
because i'm based in singapore uh and on the call we have quite a few diverse range i'll just
quickly pass it on to my team here uh sohan and first hi good good morning good evening i'm sohan
uh just like raj i'm based over in singapore here i'm with the technology team so i look after
mro technology projects it's nice to hear from you guys mike
hi good morning good afternoon good evening uh i'm same thing as uh raj and sohan my name is
so i'm doing same thing uh technology for uh smd methods and this is everything yeah
all right let's move a bit closer to you guys
you
John
hi good to meet you john pearson technology lead for the innovation team and part of the future
technologies group to work alongside ariane based in the uk derby
ariane
morning ariana ramad john but based in derby in the future technology team um i'm the lead for
technology horizon scanning and rolls royce and i'm also leading the community of practice for
everything xr related
matt
good morning all my name is matt chamberlain i'm an
industrialization manager in derby civil etns
mick
hi it's uh mick mahal based in bristol uh district product specialists looking at emerging technologies innovation and vr
and
finally uh dan
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
Morno, yeah, I work at Mekong Basin Bristol, part of the Digital Project Ownership team in Defence.
Thank you. Would the Enterprise Singapore team like to introduce yourself to Malamudu?
Hi, I'm Jane Yeo from Enterprise Singapore.
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.
Thank you. Actually, I just realised I didn't do a quick introduction of myself too, so sorry about that.
But just to introduce myself, my name is Timothy. I'm actually from the company called Agarice.
We're actually the partner of Enterprise Singapore for this specific challenge.
So my role here today is really to be a coordinator for Agarice.
And then I'm also the head of the
So now that introductions are out of the way, I'll very quickly start, you know, you can just very quickly start your presentation.
I'll help to time it out and you have 10 minutes for the presentation itself. So over to you.
All right, we are sharing our screen now.
Thank you. So we're going to talk to you today about our MRO Master Trainer platform.
Can you go back a second.
slide? Thank you. We are Malamute, a team of builders focused on equipping deskless
workforces with the tools of tomorrow. And the challenge that we're focused on is about
effectively training aerospace technicians to develop with high confidence, error-free
proficiency in all your engine assembly and disassembly. I'll hand it off to Bill to tell
you more about our solution. Yeah. And before you get into the solution, it's really about the
problem here. Given that really long problem statement, one thing that we really click with
is the problem in training a skilled workforce, trying to keep all these MRI operations going,
is that the number one thing,
most of the time,
teams are after is actually product reliability so all of this is what do
you do to keep your product in your customers eyes as the number one thing
in their sort of choice you know continuing to choose Rolls Royce and
that depends on great teams because it takes entire teams to keep especially
complex things together but also great technology and these things have to work
hand in hand and so we've been developing a mixed reality enhanced
collaboration platform over the past couple years and this platform is really
focused around combining mixed reality technologies and spatial computing and
for spatial computing it's really all of the you know technology the math and the
tools around making sure that anything that's digital isn't just locked into
the screen into the two-dimensional space really we're trying to take into
account all this 3d information and mapping it back on to the real world
you know we're trying to take into account all this 3d information and mapping it back on to the real world
so our big pillars for what our solution provides is collaboration a spatial
computing platform and workflows that are tailored for mixed reality and again
mixed reality is mostly expressed in the ability to be wearing a headset that has
three-dimensional information while still using the real physical items in
the workflow or in the workspace
we care a ton about cooperation we think problems are solved when team
members are working together and mostly is that they're working within the actual
space the real space and not just purely in a virtual simulated room or
environment so with that we've developed tools that allow for co-located mixed
reality so workers can be in the same space we've done in the actual lab
setting where production and equipment is being developed as well as
co-location to enable shared multi-user interactions where you can have you know
a worker inside a headset with other workers that are both in headset or in
mobile
and this has been really really a great project and process for us especially mixing what is sort
of these proposed CAD designs as well as actually built both prototype and in deployment
physical equipment so specifically here I'm talking about a partnership we did with a biotech
company for a brand new filtration system that hadn't existed before and a lot of scientists
and researchers that were using it had no idea of what it could do or how it could work and
this allowed them to sort of show this off even without taking one of these bespoke systems as
well as to prototype all of the different parts and pieces that would need to go between consumables
and fixed assets
but the most exciting thing that has come up in the last couple years specifically the last year
that we've been working on most excited to show waltz Royce today is the rapid integration of
real assets into Virtual Space so everyone's probably familiar with CAD models and their
ability to uh integrate
into these virtual spaces and mobile aspects
headsets, we've been working on in the wild scanning of actual components and bringing
those into XR. So this is through just an entire tool set that we've been developing that allows
for 3D Gaussian splatting, it's a very photorealistic method, to then be integrated
directly into the same XR platform that we've used for CAD. This allows for actual overlay of
a photoreal onto the actual object. The scanning pipeline works very quickly, we're talking sub
maybe five to eight minutes, for getting something into your real space in a photoreal way. So I've
been, well I was, this project is already done, but I was rebuilding a rotary engine a while ago
out of an RX-8.
A Mazda and taking these scans along the way and being able to annotate them directly in XR
using MetaQuest headset and Logitech MX Ink pen. Now this 3D Gaussian splatting, if you have not
experienced yet, is kind of an incredible rendering technology that we're mostly excited
about because it runs in real time and so you can very quickly pull this up within other formats
that are available. So I'm going to show it as the real spatial representation. And for example,
here is my car that hit a deer, which I think is the best example, and especially because the
collision center let me scan the car the whole way through. So I have a perfect record of my car
being rebuilt after that collision. Also happy to share those demos as well later on. But what we do,
and what we've been doing for a while, is trying to package these XR headsets and platform
specifically with NVIDIA compute so that you can run all of these things without needing any IT
infrastructure. We ship the IT, the router, the compute, everything can run locally. You don't need
any type of integration, even though we can do that. But we prefer to sort of push for solutions
that work in the field. Now we're really interested here in, especially this challenge,
because as we know, the global MRO market is fairly large, but we believe that this partnership
is going to give us access to the global aircraft engine and parts manufacturing market, especially
to push us to where we really want to be, which is addressing problems across all manufacturing,
heavy industries, precision manufacturing, biotechnology. So right now, we're thinking
of the business model as purely software as a service, and we want to get to somewhere
around platform licensing. The most important thing for us in our business model as we develop
it is we're leaning into the forward-deployed engineering model, where we want ourselves and
our engineers to be deeply integrated with the process, because I think that's where a lot of
the value lies, not just in selling a piece of software and having the customers sort of try
to develop it themselves. The other thing is we're trying to keep the tech really focused
so that we can ship it, we can make it mobile, we can send it to where it needs
to go really quickly. So trying to minimize as much overhead as possible.
Now, really briefly, I want to say that within the competitive landscape, there are a lot of
XR and VR training tools, and they really fall into this bucket where they're learning management
systems that you'll see, and they all are within a controlled environment. And what we've been
doing is we've tried to put a lot of that into the competitive landscape, and we've tried to put
a lot of them into deep learning so that we can actually push ourselves into something that is for
augmenting operations, and it can be used in the field. So it's not meant to be a learning
management system, it's meant to be a spatial computing system. And with that, this is a
two-dimensional chart, there's a third dimension here as well, where a thing I'm really critical of
is that especially in the competitive, or in our competitors, it really feels like video game graphics.
not really about that i want us to be developing distraction-free mixed reality that's using these
real 3d assets that you know the workers uh the workforce really needs and that can help them
actually integrate with their real operational environment so we've been working on a number
of things i think uh aside from more you know industrial partners one of the biggest partnerships
we had was in 2021 we worked with snap inc so snapchat made some experimental augmented reality
glasses and that really kicked us off into integrating what we were which was an ai company
into one that kind of pushed more into system solutions that could be represented
in the spatial physical space and through that we've been able to work with multiple different
companies and different innovation hubs to continue developing this and that's where we
are today and hopefully continuing with rolls-royce this is our team you met cara my co-founder software
engineer developer i'm also a engineer by trade worked in nanoscale and our team includes craig and
ray two kind of amazing people who are very technical yet also deeply love being on the factory floor
and that is it for us i want to thank everyone for this very brief presentation happy to have
a discussion and i know uh you probably have a lot of questions and we're here to answer them
i have tons of extra photos to share as well
thank you so much for your time and presentation uh rolls-royce team over to you
hey um if i may get the ball rolling
oh thanks for that guys that was actually quite uh informative especially you know
seeing that videos because i understand this is a problem statement where a two-dimensional
slideshow is not the best way to demonstrate the capability so i appreciate those videos
i think one thing which you highlighted was that
in my opinion it's a
strength but i'm not sure how it directly answers the problem statement right so don't take that as
a negative comment that the fact that you are able to capture and then overlay in real environment
how would you see this solution being used because what we want to start off with is
used in the training environment because that's where it gets easier to implement due to
airworthiness requirements we don't want to go this this
software to start making decisions,
but in the training element.
So how would you build that?
Would you need some photos and videos of our current engines?
And then we have a set of instructions and SOPs
that tell us how to take it apart and put it back together.
So how would that be built to augment the training
of a new operator or a new technician?
If I'm understanding the statement here is that
you have all of these training materials already
and they are tied to real assets.
And sort of where I may have painted actually
a little too quickly over the fact that like
we have developed this compute that goes with it.
And I think that's the platform for integrating
all of those technical manuals.
And the idea is that
within the software you are using it
as a learning management system
in the sense of you're parsing through this,
a PDF technical manual, for example.
But what we wanna do is provide a way for your teams
to quickly fill in and augment that PDF
with spatial information.
And that's the spatial computing part is
just like you would annotate a PDF with comments and texts
and potentially imagery,
we would provide the way as well with can be done through
the headsets themselves or with mobile devices
to continue to pull in 3D assets.
And I know that you probably have lots of CAD models
that could be processed in this way,
but similarly, you could actually get real variants
as examples scanned and brought in too,
but the source of truth for the platform would be this PDF
that gets put onto this computing platform.
So we're sort of almost taking that as table stakes here,
which we should have made clear, you know, in the beginning,
sort of make clear when, you know,
now that you bring it out.
All right, thanks for that.
And the other question I have is on the hardware.
Is that a off-the-shelf VR solution
and are you hardware agnostic or?
Off-the-shelf hardware agnostic.
Here we're using specifically the MetaQuest 3.
It is right now the best all-in-one headset
that you can just pop off the shelf.
The compute we're using NVIDIA's Orin,
which potentially we would upgrade
to the newer version that's out now,
but those provide all the compute capability
and we, you know, ship a router.
And so, you know, our clients and customers,
they can choose which tech they want.
We sort of code everything very much
to be as interoperable as possible.
Yeah.
Yeah, Arjen.
Thank you.
Two questions.
How, if this is a training platform,
how do you monitor training progress
and how do you monitor training success
and how gets that documented?
Yeah, so we right now don't have a way
to monitor that success aside from integrating
whatever, you know, you would need,
in terms of following that technical manual.
But from that perspective,
since we're sort of kind of coding everything
to a technical manual,
we would just have to work with the teams
to see what are those actual checkpoints that matter.
And then for us, we can sort of build out exactly
what's needed for tracking, for metrics,
and how to get them out to where they need to be,
especially for say like auditing
or tracking that type of learning.
And this is something to add on to what Bill's saying,
is we would love to work with our customer
and to work with you,
because I assume Rolls-Royce already has
a pretty standard training process.
And so to ingest yours and add that into the system
so that we can make sure we're hitting the same benchmarks,
because as technicians,
it doesn't really matter to us what the benchmarks are.
It's really like your source of truth
that we want to be ingesting in our system.
And so that's something that we can do.
And I think that's something that we'll be working on
in the future as well.
So thank you for that.
And I think that's pretty much it.
Thank you for that, Bill.
Thank you.
OK.
Thank you.
OK, you mentioned benchmarking and auditing.
As a training aid, can this be used as an overlay
to make sure all the parts are present
and highlight any that aren't?
Yeah.
So we should .
Sorry.
I was switching audio here.
So this one is about augmentation.
Not only could we structure it as a step
through technical process or a step
through learning experience, you can also just
do this as an overlay for your variant.
You could have, again, the real scan or also
the expected layout of whatever parts that
are needed from CAD models.
And especially if you have set ways
that you organize your parts and materials before you start
You can especially program those in to have overlays
so that people can compare directly.
So would you highlight anything that's missing
that should be there?
You potentially could.
This is something that would have to be scoped
because since we have front-facing cameras,
it's very straightforward to do CV,
but that requires actually running a bit of scoping
to understand how clean those setups would be,
how well the CV will take based on your parts,
if they're too varied and too fine.
But that's just something that we can work on.
The importance of the platform that we're,
or I should say the system that we work in,
is to very quickly enable that pipeline
from sort of the headset experience
to getting it onto an AI-powered device,
something that you can run just generally.
If any of your other teams are running any ML,
it would be fairly straightforward
to run that pipeline.
It would be very straightforward
to get it operating on the compute
that we could send over.
Okay.
Yeah.
But I also know that that's a broader,
kind of like a broader integration
than purely training and learning.
Yeah, I know, Mick, where you're getting at, mate,
because we are looking at comparing engines
coming in and going out.
So can this be effectively the way
we do an engine inspection
to check for missing parts?
Yeah.
The capabilities, and again,
I kind of throw the Quest 3
as being a great device here
just because it does have those front-facing cameras.
So what your technicians see
is also captured in real-time.
Okay.
Any other questions?
Yep, maybe just one from me.
Bill, thanks for your demonstration,
especially on your Gaussian splat.
I think that was quite interesting.
And I also appreciate that you guys chose the Quest 3,
which is one of the, I believe,
one of the latest wearables out there.
And yeah, my question is on training
because as we know, technicians,
when they come for training,
some of them are new to wearables.
And one of the things that I think is important
is that when you're training,
one of the common feedback
is that it's on ergonomics.
And the feedback I got was that
some of them are concerned with motion sickness.
Some may comment that it's heavy,
it's bulky,
and it may be uncomfortable for new users.
So in the perspective of Malamute,
do you expect new users to wear wearables
for a long period of time?
Of course, this is dependent
on the type of training
that you're doing.
So I think that's a very important thing
that we conduct here in Rolls-Royce.
But do you challenge that
they do not have to wear for a long time?
Or that if users have to wear for a long time,
do you think there's other solutions around it?
I have so many answers.
No, I love this question
because there is a thesis that I have,
which is I want to develop a headset experience
where you take the headset off.
I think that's the most important thing
is that the headset is there
to like ingrain an idea
into the brain
and the tech lifts it up.
Some of the ergonomics,
we've kind of re-kitted the headset
with a different headband
and remove the visor,
the light shield,
specifically because we want the user
to be able to flip it up.
So the headset comes down
when you need that overlay,
when you need those instructions,
when you need that guidance.
But we really want sort of the user
to get a lay of the land
and sort of pop it off.
And this is an experience
we had with Snapchat.
When we were using their full AR glasses,
it was actually a power limitation
that we didn't want them using it all the time
because the original engineering ones
could only last for maybe 18 minutes.
But what we wanted them to do
was we wanted all of the workforce
to click them on,
understand the world with the digital overlay,
and then click them off and get to work.
And here in the same sense is
you really want them to get used to the real engine.
And so that is as much guidance
as they take.
I know that motion sickness
is still going to affect people.
The ergonomics are still there.
We don't use controllers.
This is a kind of like a big thing for us.
We try to minimize the headset experience
from to be controller free as much as possible,
just using voice and vision
to minimize that usage, the motion,
the needing to learn how to menu, et cetera.
But we believe that it's worth investing in this
because we're watching the technology
get better and better year over year.
And we've been fortunate enough
to see the AR glasses themselves develop
that in about maybe five years,
we won't even have a headset camera system anymore.
We'll be optical see-through.
They'll just be back to that glasses form factor.
And so developing the system that can support that,
I think is super critical
rather than just building something specifically
for the MetaQuest.
Thank you.
That was really interesting.
Any final questions from the Rolls-Royce team
or that's it?
I think one last question from me would be that
I think it goes back to the previous question I asked
and then kind of following on to what Zohan asked about the headset.
So with the element of training being done,
I can see how the Quest can fulfill that.
But to basically Mick's point about overlaying
on an actual physical asset,
then I'm assuming that's where it gets a lot more challenging
using a Quest-like way because it's not a see-through.
Right.
So if I want to take something and overlay
on an actual physical asset, how would that be achieved?
Oh, no, no.
That would work too.
My credit or the thing I'm pointing out
is that the MetaQuest uses the cameras as see-through.
So there you can still, and actually I
mean this is probably a greater question for people
on an actual operational floor, if they
can wear these video see-through devices, if that's,
you know, fine with the headset, then yes,
the overlay is 100% doable.
The MetaQuest 3 does that perfectly.
It's QR code tracking, works spot on.
So that would work directly.
But it's always this sort of point that there's still video.
Like there's still a camera being re-rendered
of your real world versus where we're
headed in the next couple of years, which is just full optical.
OK.
Got it, got it.
OK.
That's it from me.
Any final questions from the Rolls-Royce team?
What about you guys?
You guys have any questions for us, Malamud?
So many.
I want to save everybody's time.
But I know because I really I would
love to truly understand what this, you know,
the training environment is like and especially
what the working and operational environment.
That's really where the tons of questions that I have,
I want to know what tech you're using on the inside
because we're developing everything
to be agnostic to your tech.
But that doesn't mean that it's not important, you know,
how all of your trainers are interfacing
with the different CAD technologies, ERP,
MES technologies, et cetera.
Like, you know, to understand that can better
help us learn and develop exactly to your workflows.
But those are very, very in the future.
That's fine.
I think at least we can give you an overview.
Yeah.
I can give you the what is the current state,
and I can leave it to experts like Arianne and, well,
pretty much everyone else on the call
to see what future state we are looking at.
But obviously, today, a lot of the training
is done through three modalities.
One of them is the standard paper, right?
So we have procedural steps, what we're doing,
right?
We have different sections of the engine,
which we call modules.
So 01, 02, 03, 04, it's basically
going from roughly front to back with a random 07 and 05 module.
And each of those modules have instructions
on how do we take it apart and put it back together.
And this is all done as an instructional document.
This is complemented by the.
Official document, which we call the engine manuals,
that list down this, which not during training,
but during actual operations, the operator
will refer to step one, check this bolt, step two,
unbolt bolt number 5, 10, and all of that.
Then there is an element of some videos and interactions
on some of these procedures.
And then finally, they go down to the real asset,
and we have some training engines where
they go through this over weeks on how do you physically
do this dismantling and putting it back together, right?
In terms of some of the tech, I'm
not sure if anyone else in the call
is able to elaborate a bit more that we are looking at.
Anything specific?
Not too much, Ariane.
Anything that I guess we are quite, we are not
like, you know, this is a specific tech or a hardware
that we are looking down selected.
I mean, we've got different training scenarios.
So we obviously from very early career,
so we've got apprentices coming in, they're getting trained.
And the way they usually get trained
is generic skills rather than doing a specific procedure.
So they get trained on skills that then transferable.
We're training customers, so we've got customer training
center on specifics that come and help us.
We train up our own people when things and procedures change.
So there's a range of different trainings that we apply.
And Raj, I'm not entirely sure if you
had a specific training procedure in mind
or if that's more general one or if you're doing the process
here, if you don't select something.
But we have different scenarios usually.
Yeah.
So to answer Ariane's question, and I'll
also to make sure Malamud understands,
I think, like Ariane said, for customer training,
there are very specific ones because the customer is only
allowed to do certain things.
In my mind, so for example, if you have seen an engine,
the fan blades, the rotating part that you can see,
the customer is allowed to take that off and put that on.
But if you go all the way down to things
like the combustor, the hot end of the engine,
that's not something that the customer
does, so customer training focuses on that.
And obviously, we have something called LRUs,
line replaceable units, which is outside the engine
where there is no airflow.
You have things like the brain of the engine, the EEC,
the fuel unit, the oil units, the gearboxes.
So these are things that the customer is trained on.
The scope of this is more about Rolls-Royce internal, where
we take apart the entire engine and put it back together.
Now obviously, the extended scope,
it's very nice to have is for us to be providing this
to our customers because then they
can refresh it any time they want rather than depending
on us.
But I think the main scope is for our internal operators
to know how to take apart a full engine
and put it back together.
But for the POC, I think that will be,
of massive scope.
So we will cut it down to, like I mentioned, a few modules.
So we will pick a couple of modules
and focus the POC on those specific modules.
Yeah, no, that makes perfect sense.
But it's good to see that future vision.
I do also imagine you can just throw a kit at your customer
as well so that they don't have to travel too far
and move too much to give them, hopefully.
Especially new customers.
So if I get a new airline, so if American Airlines does not
use engines.
But they start using, even before they
receive their first engine, we can send this kit out for them
to have a feel so that when they come for the formal training,
they are able to ask a lot more questions.
So that is definitely a value add, we can say.
Yeah, that's great.
Thanks for that.
It clears a lot of stuff up.
I appreciate it.
Hey.
Thanks to update training materials today,
such as when those modules were taking the engine apart.
Do you guys frequently change what
would be in the training material?
What's that process like?
We don't change the training material that often.
However, what does happen is we have multiple engine types.
They are called Trend XWB, Trend 1000.
They go on different aircrafts.
But for each engine type, so a Trend 1000 can have seven to nine variants
with very subtle differences.
Now, some of these differences are in terms of the type of parts used.
That usually will not affect the training material,
because it's just the QR code.
But some of the subtle variances can be how the external harnesses or tubes
are routed.
If the internal harnesses are routed because of certain requirements,
then in that case, the training material might be updated.
But in general, especially, we are not using this solution
as a replacement of current training methods, but as an augmentation.
I wouldn't expect every single minute thing to be updated on this.
Now, eventually, if we get there, that's brilliant.
But it should.
We have to really capture the baseline expectations
for a baseline engine variant.
Thank you.
All right.
I guess that's it from all the questions.
All right, so thank you, everyone, for your time.
Just wanted to quickly check also, Janelle, do you
have any questions from Enterprise Singapore's end?
Hi, nope, all good from my side.
OK, thank you very much for everyone's time then.
So just before I quickly end today's session,
let me just do a very quick reminder.
So again, a gentle reminder that we will need to submit two deliverables
by 29th of June, Monday, 12 PM.
Oh, yeah.
12.
Oh, it's 12 AM, basically midnight.
So the first set of deliverable is a refined proposal
slide deck of up to 20 slides following today's session itself.
Please do add the information that's
asked by Rolls-Royce into this slide deck itself,
or further enhancements into this slide deck.
Next, please do send your introductory two minutes
video of your solution on how it best fits Rolls-Royce challenge
statement also.
So please do submit both deliverables
onto the challenge platform.
You can access it all via the challenge platform.
Link by logging into your account and clicking on the MySpace button
on the top right hand corner of the screen.
So if there's nothing else, then thank you everyone so much for your time
for joining today's clarification meeting.
And that's it for me.
Thank you and everyone.
Have a nice day.
Thanks, everyone.
Thank you.
Bye.