Dr. Fermi Wang
Analyst · Wells Fargo Securities
Thank you, Louis, and good afternoon, everyone. Before proceeding with our Q3 fiscal year 2022 call, I want to note on November 9th we filed an 8-K stating that our CFO, Casey Eichler, would be taking a leave-of-absence for health reasons. We have received many of your kind thoughts and prayers, which we have shared with Casey and his family, and we wish him a speedy recovery. Meanwhile, John Young, VP Finance, has been named interim Principal Financial Officer and Principal Accounting Officer during Casey’s absence. On October 26th our strategic transformation into a deep learning AIoT processing company took another leap forward when we announced the acquisition of Oculii a provider of advanced algorithms for imaging radar systems. Oculii enables us to not only capture incremental perception business, but most importantly feeds our long-term strategy to provide a more comprehensive AIoT processing SoCs to our customers. I’m also pleased to report our market and financial momentum was strong in Q3, with revenue slightly above the high-end of our range of guidance, up 64% year-over-year. Driven by a richer mix of CV SoCs, our average selling price continues to rise, contributing to strong positive operating leverage with non-GAAP operating margins reaching 25% of revenue versus 5% a year ago. Supply dynamics remain a key challenge. On one hand we started to see an expected recovery in supply from Samsung’s wafer fab in Texas, however the shortages of other companies components has become a more significant and a gating factor to our results and outlook. Despite these constraints, we are on track to achieve record revenue this year with CV representing more than 25% of revenue. During Q3 the number of unique CV customers in production grew sequentially and quadrupled versus a year ago. As of today, on a cumulative basis, we have shipped more than 5 million CV SoCs including more than 1 million into the automotive market. Our automotive revenue funnel is expanding. A year ago, we announced a six-year, discounted, automotive revenue funnel of about $600 million, and using the same methodology, this figure has approximately tripled. We will provide more details on January 4th at our Capital Markets Day. I will now provide you with some examples of progress in our target markets. During the quarter, we were excited to see that Rivian, the American electric vehicle maker, started customer deliveries of its R1T truck. The R1T’s Driver+ features 11 cameras, 5 radars and 12 ultrasonic sensors to deliver true hands-free driving assistance along with a full set of safety features. The R1T’s Driver+ system utilizes multiple CV2AQ CVflow automotive SoCs for its AI vision processing. Additionally, the R1T also uses Ambarella’s CV22AQ CVflow automotive SoC for its surround view camera processing and gear guard security system. The Rivian design highlights the use of Ambarella’s AI vision SoCs in centralized automotive computing applications. These applications represent a major new opportunity for Ambarella moving forward. And during the quarter, Chinese truck maker Shanqi entered into mass production with an ADAS system providing lane detection and forward collision warning features. The system is based on Ambarella’s CV22AX automotive AI SoC and is supplied by tier 1 Baolong. In the after-market automotive dash camera market, European market leader Nextbase announced a pilot program with Uber for its 232GW dash cam. The dual camera design is based on Ambarella’s A12 SoC and includes a Cabin View Camera that uses infra-red night vision technology and wide angle 140-degree angle lens to provide an extra level of security for Uber drivers and riders. Also in the dash camera market, Korean market leader Thinkware introduced its QXD7000 and QXD5500 HD designs based on Ambarella’s H22 and A12 automotive SoCs. The QXD7000 includes a radar support mode that helps to pre-record video 10 second before impact, while both models offer ADAS features including forward collision warning, forward vehicle start alert and lane departure warning. In the professional IP security camera market we continue to enjoy strong revenue growth based on worldwide market expansion and our increasing market share outside of China. In Europe, market leader Axis, a unit of Canon, announced its first cameras to use Ambarella’s CVflow SoCs. The new M series cameras offer great image quality even in challenging light conditions, and take advantage of analytics based on deep learning on the edge. Verkada, based in the U.S., is simplifying the management of video security at scale through its hybrid cloud approach and its latest CD62 4K Dome security camera features intelligent edge-based video analytics, powered by Ambarella’s CV22 SoC. Also, industrial giant, Johnson Controls, introduced its Illustra Pro Gen 4 mini-dome, indoor and outdoor PTZ models with resolutions up to 8 megapixels and based on our CV22 SoCs. With built-in AI based object classification, the camera enables events to be narrowed to different classes including person, car, bus and motorcycle. In Korea, market leader Hanwha Techwin introduced multiple camera models spanning dome, bullet, panoramic and license plate recognition designs and leveraging Ambarella’s CV2 and CV22 CVflow SoCs. Also in Korea, IDIS introduced four new cameras based on our S3L SoCs, replacing HiSilicon designs, while CPRO introduced its first 4K AI camera based on our CV22 SoC. In November, Chinese electronics giant Xiaomi introduced a new line of multi-functional, smart door locks with facial recognition, using Ambarella’s AI vision SoCs. The smart door locks fuse structured light and RGB camera technology and AI-based facial recognition software for hands free access, while also incorporating other unlocking methods including fingerprint recognition and near field communication. From these customer engagements, you can see the breadth of AI applications emerging, ranging from L2+ ADAS in EVs with a leader like Rivian, to enterprise class security cameras with an industrial giant like Johnson Controls, and door locks with sensor fusion for the smart home and enterprise market with a major company like Xiaomi. This traction can be traced back to the premium growth R&D investments we have, and will continue to make, into camera and radar perception technologies, automotive functional safety such as ASIL B or D and next generation AI processors on 3 nanometer manufacturing process nodes, all optimized specifically for IoT end point applications. In fact, in the last three years Ambarella invested 59% of revenue into R&D on a GAAP basis, a level far beyond a maintenance levels you see at most companies. Of course, it is not just about quantity of R&D investment, but the quality, and as you know we consider our visual AI R&D to be the best out there. Evidence supporting this continues to mount as we successfully leverage our well established video processing leadership into the computer vision AIoT market. This large growth R&D investment has been focused on processing data collected from the lens of a camera with an “algorithm first” approach. Now we have augmented this investment with the acquisition of Oculii, who uses a similar “algorithm first” approach for the high definition imaging radar market. Radar perception is an incremental market for Ambarella. However, we are most excited about the synergies with Oculii which we expect to be derived from two principal areas. First, we expect our combined camera and radar R&D investment to enable breakthrough levels of perception at economical price-points, as Ambarella is now one of the very few semiconductor companies to have advanced camera and radar technology development under one roof. Second, through our CV SoC roadmap we are able to provide the processing power not just for the perception processing, but we target the incremental processing for the fusion, planning and control layers in a variety of AIoT markets. All of this is expected to drive more value, both higher selling prices and improved market share, for Ambarella and its stakeholders. In summary, during Q3, we demonstrated progress on the strategic front with the acquisition of Oculii and our CV portfolio ramp continues. Our financial results are providing an early look at how we intend to capitalize on an entirely new phase of the digital AI transformation, a phase where deep learning is not just executed in servers, but in our SoC platform designed for the unique needs of the edge AIoT endpoint market. And I want to thank all our stakeholders, employees, suppliers, partners, customers and shareholders, for your continued support. With that, John will now provide our prepared financial comments.