Good day. My name is Vaishnavi, and I will be your conference operator. I would like to welcome everyone to Aeva Technologies First Quarter 2022 Earnings Conference Call. During the opening remarks, all participants will be in a listen-only mode. Following the opening remarks, we will conduct a question-and-answer session. As a reminder, today's conference call is being recorded and simultaneously webcast. I would now like to turn the call over to Andrew Fung, Director of Investor Relations. Andrew, please go ahead.

Thank you, and welcome everyone to Aeva's first quarter 2022 earnings conference call. Joining on the call today are Soroush Salehian, Aeva's Co-Founder and CEO; and Saurabh Sinha, Aeva's CFO. Ahead of this call, we issued our first quarter press release and presentation, which we will refer to today and can be found on our Investor Relations website at investors.aeva.com. Please note that on this call, we will be making forward-looking statements based on current expectations and assumptions that are subject to risks and uncertainties. These statements reflect our views only as of today and should not be relied upon as representative of our views as of any subsequent date. These statements are subject to a variety of risks and uncertainties that could cause actual results to differ materially from expectations. For further discussion of the material risks and other important factors that could affect our financial results, please refer to our filings with the SEC, including our Form 10-K for the year ended December 31, 2021. In addition, during today's call, we will discuss non-GAAP financial measures which we believe are useful as supplemental measures of Aeva's performance. These non-GAAP measures should be considered in addition to and not as a substitute for or in isolation from GAAP results. A webcast replay of this call will be available on our company website under the Investor Relations link. And with that, I'll turn the call over to Soroush.

Thank you, Andrew, and good afternoon everyone. We are off to a strong start in 2022 and continue to execute on our plan. In Q1, we achieved key milestones that moved us towards Aeries II deployment and continue to broaden our commercial reach. I'm excited to highlight a few of our accomplishments which are summarized on Slide 5. First, we are on track for first deliveries of Aeries II in late Q2. Initial units have been manufactured with initial system and performance validation successfully completed. Second, we are building strong momentum in Industrial Automation. We continue to make progress on our first industrial precision product with Nikon, while also receiving significant inbound interest for additional industrial automation sensing applications which are uniquely achievable with Aeva's FMCW LiDAR on chip technology due to superior precision. Third, a number of developments will enable us to accelerate adoption of our unique 4D LiDAR technology. This includes being the first and only FMCW LiDAR on NVIDIA's DRIVE autonomous vehicle platform. We also continued to strengthen our team across the board, including new leadership and sales to help accelerate our go-to-market plans. Together with this, we also announced the opening of Aeva's China office as we look to increase our global presence and respond to the growing market demand for 4D LiDAR across a wide variety of perception applications. And fourth, the $415 million in cash at the end of Q1 reflects our disciplined approach to capital allocation and continues to position Aeva well to execute on our plan to bring 4D LiDAR to mass scale. Moving to Slide 7, I would like to provide more color on key business developments over the past quarter. First on Aeries II, we completed a number of important milestones in Q1 that move us meaningfully closer to our target to start delivery to customers in late Q2. This includes bringing the system manufacturing line online with initial units manufactured. We successfully completed the initial system and performance validation and initial reliability test on Aeries II surpassed Aeries I, including for temperature and ingress protection. The market reception following the unveiling of Aeries II has been very encouraging. We continue to see growing consensus among automotive and non-auto customers that FMCW 4D LiDAR with a differentiated ability to instantly measure velocity enables faster detection at higher confidence levels to safely bring higher levels of autonomy to a variety of perception applications including automotive and industrial markets. Aeries II incorporates the world's first 4D LiDAR on-chip solution that delivers direct velocity measurement for every pixel, together with 500 meters of range, camera level resolution designed for automotive grade and reliability. As we expand on our commercial engagements and begin deliveries of Aeries II units, we expect to meet the demand for our core perception platform, leveraging our LiDAR on-chip module as well as the Aeries II product. In terms of the work that remains ahead, we are focused on the bring-up of the automated assembly for our LiDAR on-chip module over the next few months and preparation for our scale deployments to meet the strong demand for Aeries II. Moving to Slide 9, as we announced earlier, Aeva is now the first and only FMCW 4D LiDAR on NVIDIA's DRIVE platform, which we believe will help to continue expanding our momentum in automotive. NVIDIA DRIVE is an interim platform that enables OEMs and automotive players to develop and validate safe self-driving technology at scale. Based on our engagements with OEMs, they are increasingly looking to implement FMCW LiDAR into their next-generation programs. Aeva's integration on the NVIDIA DRIVE platform brings our unique 4D perception to a broader group of automotive customers. And with OEM's ability to build their autonomy stack using existing NVIDIA development and software tools, we believe this will enable OEMs to accelerate the adoption of Aeva's FMCW technology. Now switching gears to non-automotive on Slide 10. We are proud to have NASA use Aeva's 4D LiDAR to create a mobile terrain mapping and navigation system to support the next generation of lunar and planetary exploration. This system will help astronauts and rovers navigate and map the lunar surface, leveraging our proprietary capabilities that uniquely solve critical challenges on the moon. One of those key challenges is navigation in a GPS-free environment, because Aeva's FMCW technology can directly measure instant velocity for every pixel. It can also estimate its own motion, effectively serving as an independent navigation solution that provides precise positioning, even in environments where GPS is unavailable or unreliable, such as in tunnels or parking garages for automated vehicles, or in the case, on the surface of the moon, where it's completely unavailable. In addition, Aeva's FMCW technology is immune to optical interference, which is particularly needed on the surface of the moon where the sun never appears more than three degrees above the horizon in certain regions, such as the lunar South Pole. This exposes cameras and legacy LiDAR sensors to significant optical interference that prevents their effective use for sensing and perception. This region of the moon also has areas that are permanently shadowed or have long persistence shadows that prohibit photogrammetry-based navigation. Aeva's immunity to optical interference from the sun and ability to operate in the dark will allow astronauts and rovers to safely explore and map the lunar surface anytime, day or night. These are also critical capabilities for enabling the next generation of autonomous vehicles, which need to operate safely during periods of optical interference with the sun directly shining out of the sensors. We have always believed in the potential for our FMCW on-chip technology to provide a platform that can enable the next wave of perception for a wide range of applications beyond automotive. Central to our technology is a common core LiDAR chip module that is the same architecture we use in the Aeries platform for automotive, but tuned to deliver different performance requirements for different use cases. And NASA provides a glimpse of the broad use cases and a significant opportunity for Aeva's perception platform. Let's move to Slide 11, which highlights our progress in industrial automation, where there is growing demand across a wide range of applications to utilize our LiDAR on-chip module. In particular, our ability to achieve high precision in a small chip module form factor unlocks a number of unique new opportunities, such as applications requiring precise measurement of a centimeter or less, which to our knowledge cannot be achieved with current 3D time-of-flight LiDAR solutions. To meet this growing demand and enable faster adoption, we are developing a common platform for industrial automation, based on the same LiDAR on-chip architecture used for automotive applications. Building off of the micron-level precision already achieved last year, we are making good progress and target completing our LiDAR on-chip module development for industrial automation by Q4 of this year. This timeline also aligns with our collaboration with Nikon, where we remain on track for our first product launch in 2024. Our planned common platform for industrial automation exemplifies how our strategic decision announced last quarter to accelerate our shift from NRE towards scale deployment of common platforms for commercial programs is enabling us to pursue opportunities with a higher level of efficiency and agility. Now to our key objectives for 2022, which are highlighted on Slide 13. We have made good progress so far this year, and believe we are well-positioned to achieve our key objectives for 2022. I would like to share a bit more on each one. First on Aeries II Deployment and Qualification with Customers, as mentioned earlier, we continue to focus on manufacturing and supply chain, which includes the bring-up of automated assembly equipment for our LiDAR on-chip module in order to keep us on schedule for deliveries to begin in late Q2. Given the strong demand for Aeries II, we are laser-focused on our preparation to achieve this milestone. Second, on converting two additional programs towards production, we continue to progress on a number of engagements for multiple applications, including passenger vehicles, trucking, and mobility, as well as non-automotive such as industrial automation. We believe we are on track to win programs in both automotive and non-automotive this year and see opportunity to further expand our commercial momentum as we begin Aeries II and LiDAR chip module deployment. Third, on accelerating the release of our first non-automotive application, we continue to progress on our first industrial precision product with Nikon and remain confident in achieving our accelerated 2024 timeline for production launch. Beyond that, inbound interest continues to grow, and we are developing a common perception platform that utilizes our core LiDAR on-chip module to meet demand and accelerate adoption in the growing industrial automation market. Fourth, on preparing the supply chain and processes for commercial deployments, we continue to work closely with our supply chain partners to prepare for commercial deployment. Efforts also continue on working toward certification in Automotive SPICE and information security. And with that, I will turn the call over to Saurabh to discuss the financials.

Thank you, Soroush, and good afternoon, everyone. Let's turn to Slide 15, which summarizes our first quarter financial results. Revenue in the first quarter was $1.1 million, in line with our expectations. During the quarter, we continued to make good progress with our customers on their development milestones ahead of Aeries II deployment. Non-GAAP operating loss in the first quarter was $28.3 million, which primarily reflects our R&D expenses related to product development. Our gross cash use defined as operating cash flow less CapEx was $27.8 million for the first quarter. As such, we ended the quarter with a strong $414.5 million in cash, cash equivalents, and marketable securities. Our weighted average shares outstanding in the first quarter was 216 million. In a nutshell, Q1 was consistent with our plan. Based on our progress so far and a strong balance sheet, we believe we are well-positioned to accomplish our 2022 objectives and execute on our mission. With that, I will turn the call over to Soroush for closing remarks.

Thank you, Saurabh. Before we start with Q&A, I would like to thank the Aeva team again for their contribution that enabled us to continue making significant progress on our milestones this quarter. I would also like to express appreciation to all of our stakeholders for their continued support. Since introducing Aeries II earlier this year, it's been incredibly exciting to see the growing commercial momentum to utilize Aeva's unique 4D LiDAR on chip technology. We are on track for first deliveries of Aeries II in late Q2 and look forward to supporting our partners on the path to production and realizing Aeva's mission to enable perception for everything. Thank you, everyone, for your time today. Now, let's open up the line for questions.

Thank you. Our first question comes from Antoine Chkaiban with New Street Research. Please go ahead.

Hello and thanks for the question. You highlighted the integration of Aeva 4D LiDAR with NVIDIA DRIVE autonomous vehicle platform. Could you provide a bit of color on NVIDIA's validation process, which I mentioned were most important to them beyond just 4D? And maybe as a quick follow-up looking back at the last 12 months, would you say autonomy adoption timeline has accelerated or slowed? Thank you.

Yes, sure. Thanks, Antoine, for the question, happy to answer. So first of all, as I mentioned, NVIDIA is a leader in bringing new technology to the market. I think being the first and the only FMCW platform on the NVIDIA DRIVE is important. A lot of the process so far has been driven by our unique differentiation from a performance standpoint. In addition to of course, the instant velocity dimension that we have talked about before, as well as some of the new features that we announced as part of Aeries II launch, including Ultra Resolution, which I think have been important in the validation process and the work that we're doing with them. Of course, work continues and we hope that this partnership continues to expand our momentum and engagements with OEMs due to the fact that NVIDIA's platform is an end-to-end platform and already they have customers both in automotive and commercial vehicle space. To your follow-up question on general kind of adoption timelines and if that's accelerated or slowed, I think what I can say is, since our analysis of the Aeries II, we are seeing a growing interest across the board both in automotive and non-automotive for adoption of new technologies and especially, I think LiDAR being a key factor of that is what we are seeing.

Our next question comes from Sam Peterman with Craig-Hallum Capital Group. Please go ahead.

Hi guys, thanks for taking my question. I wanted to ask one on trucking. It sounds like you're seeing progress with just two different engagements there. I did want to ask TuSimple. Do you guys have talked about working with closely in the past are they mentioned on their earnings call, they have kind of moved their production timeline for commercial launch back a year, from 2024 to 2025? They cited a couple of supply chain factors, not being ready and that being part of the reason and side of the LiDAR industry as a whole, a couple of times, you guys are talking about shipping Aeries II this year and presumably life at commercial deployment within that timeframe. So I guess my question is, how is your relationship stand with TuSimple and does it push out your timeline for automotive commercial readiness?

Yes, sure. Thanks for the question. So first of all, we're working on autonomous with our Aeries II and we feel confident with that. On TuSimple specifically, we continue to work with them closely. I think we are progressing well. As a matter of fact, as you are aware, we support them on their driver-out program, enabling TuSimple to be the first company in this space to provide a fully driver-out autonomous truck in the world using Aeva LiDAR technology. So far, of course, in addition to that, they're using our LiDAR as the only long-range LiDAR on their trucks and these are actually previous generation technology that we have been working with them for quite some time. To your other point, yes, we plan to begin scale deployment with Aeries II towards the end of this year, including with us and others. Overall, we feel confident about some of the adoption rate of commercial vehicle players in the space.

The next question comes from Suji Desilva with ROTH Capital. Please go ahead.

Hi, Soroush, hi, Saurabh. Congratulations on the progress here. So I'm curious you just opened an office in the Asia region. You already had traction in DENSO. I'm curious about the China market. Is the competitive landscape and the opportunity there different in some ways? Can you talk about the opportunity for you there? And perhaps does the NVIDIA partnership announced give you some opportunity to penetrate that market? Any color on being there versus your current traction, which seems to be outside of China, would be very helpful to understand? Thanks.

Sure, Suji. First of all, APAC is absolutely an important region for us. We're pretty excited about expanding and opening up an office there including China. So first of all, we already have partners there and we are seeing growing interest to really use next-gen technology and I think that's where Aeva becomes interesting because at the end of the day, if you also look at it, OEMs and customers generally in automotive specifically, but also non-automotive, are looking to differentiate from the competition. Currently, FMCW technology simply doesn't exist through the end in APAC at production also. We're looking forward to bring that up to the market and we continue to establish relationships and partnerships there. Other thing, non-auto, we are already partnered with Nikon and we're well on track there and expect to - for the industrial automation in general as well, to be ready by the 2024 production timeline. I think one thing I also want to highlight is that we're building this one LiDAR chip platform, really a perception platform that is unique for Aeva because we believe only FMCW can achieve under a centimeter in a robust way. We see this growing demand and existing business opportunity for inspection, especially in volume manufacturing for a variety of applications, and those are either done by camera type solutions that are not very robust or with laser-based solutions cannot achieve under a centimeter.

And next question comes from Colin Rusch with Oppenheimer. Please go ahead.

Thanks so much guys. Some of our checks are pointing to the reliability of 4D LiDAR in test cases actually being better than expected. Can you just talk a little bit about the feedback that you're getting from your customers as they go through testing with few samples?

Yes, sure, Colin. The proof is in the pudding. Obviously, the systems we have on the road today are based on A samples with Aeries II our B sample. We're on track and moving to start deliveries really at the end of this quarter. As a clear example, even one of our earlier A samples from a few years ago continued to be used for actual development and autonomous capability, including some commercial deployments with our partners. This includes on the commercial vehicle side, talking about that with TuSimple and others that continue to use that technology. Those were A samples and they were not designed for mass manufacturing, but with B sample, we continue to improve reliability and that's been one of the key factors to go after, to get that maturation and automotive readiness. I think this is the last piece that we're working to fall in place and we are laser-focused on that. It is critical for us to deliver on our first samples at the end of this quarter and from there working on the supply base to scale up our volumes in the second half of the year. We also already see that reliability improving. As I mentioned on the call, especially regarding temperature in the U.S., which has been a challenge for any technology.

Okay, that's super helpful. And then a lot of systems are not really prepared to use the philosophy that you guys can provide, and obviously, you guys have been doing some development around some of the software that you can supplement some of those other efforts. Can you talk a little bit about the progress that you've got going with a lot of different velocity and then translating that into streamlined decision-making for some of your customers?

Yes, I think it really what's interesting with any new capabilities is that the value is different across different applications. We're just scratching the surface here on what the new dimension can do. When you go from black and white cameras to color, the confirmation is a whole new world of information and there is so much possibility with it. With velocity, we have a similar situation here. In automotive, specifically, we see the velocity points bringing a high level of confidence for automation and global autonomy, being able to know something that's dynamic is a critical topic and challenge. Our technology allows customers to react faster, enabling quicker decision-making. In non-automotive, there are several applications similarly where you want to provide specific safety mechanisms to protect humans in industrial applications or be able to observe how things are moving in warehouses to make decisions accordingly. All of that is coming into play with the velocity dimension. As our customers continue to use it, we find new examples and leverage them across applications. We continue focusing our efforts on building capability on top of the velocity dimension to showcase that to customers and help them solve challenges that they haven't been able to address before.

Our next question comes from someone with Morgan Stanley. Please go ahead.

Hi great, thanks for taking my question. It's great to hear about the momentum in industrial automation and other areas like 3D mapping with that recent NASA announcement and robotics like you just mentioned. But I'm just wondering if you could give us a relative breakdown of how much of your engagement pipeline is currently automotive-related versus non-automotive and other on a dollar opportunity level or simply around the number of conversations that are happening? Thanks.

Yes, sure. We're not providing specifics on the breakdown of customer opportunities. What I can tell you is that, in general, we are seeing growing demand both in automotive and non-automotive, especially because the LiDAR on-chip module and the platform we are designing can be applied to multiple applications. As I mentioned, we're engaged in multiple opportunities in the span of passenger cars, trucking, and mobility on the automotive side, as well as on industrial automation, including robotics and the inspection side. We expect to be on track and feel confident with the two wins we talked about for this year. As we progress and are able to share more about the specific opportunities, we will do so in the near future.

This concludes the question-and-answer session. The conference has also now concluded. Thank you for attending today's presentation. You may now disconnect.