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DATE

Thursday, May 28, 2026 at 8:30 a.m. ET

CALL PARTICIPANTS

  • Chief Executive Officer — Ram Machness
  • President and Co-Founder — Jacob Marenko
  • Chief Financial Officer — Karine Pinto-Flomenboim

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TAKEAWAYS

  • Revenue -- $0.5 million, an increase from $0.4 million in Q1 2025, reflecting modest topline growth.
  • Backlog -- $1 million as of March 31, 2026, representing anticipated revenue over the next 12 months as confirmed by management.
  • Gross Profit -- Negative $0.1 million, an improvement from negative $0.3 million in Q1 2025, indicating a reduced gross loss.
  • Operating Expenses -- $11.2 million, down from $13.1 million, due to lower share-based compensation and decreased tape-out expenditures.
  • Operating Loss -- $11.3 million versus $13.4 million in Q1 2025, demonstrating a narrowing of operating loss.
  • Adjusted EBITDA -- Non-GAAP loss of $9.9 million compared to a $9.7 million loss, indicating slightly higher core losses.
  • Net Loss -- $9.4 million, down from $13.8 million, including $1.9 million in financial income; Q1 2025 included $0.5 million in financial expenses.
  • Cash and Equivalents -- $53.6 million at quarter-end, reflecting improved liquidity following an $18.5 million capital raise.
  • Cost Reduction Measures -- Actions implemented to lower ongoing operating expenses by approximately 15%, with full benefit expected starting in Q2 2026.
  • Full-Year Guidance -- Revenue outlook of $4 million to $6 million and adjusted EBITDA loss expectation of $28 million to $31 million, both reaffirmed.
  • China Chipset Shipments -- Initial shipments made to Tier 1 partner Hirain, supporting both high-end (48x48 channel) and new lower-cost (24x12 channel) automotive radar projects.
  • Robotaxi Orders -- Orders received for the Phoenix radar system from global robotaxi customers, with applications supporting Level 4 autonomy and 360-degree perception.
  • End-to-End System Sales -- Began shipping complete radar solutions to defense, homeland security, and various physical AI sectors, expanding beyond automotive chipsets.
  • Production Capacity -- New dedicated production line established, built to support hundreds of systems per month and scalable with additional contract manufacturing partnerships under discussion.

SUMMARY

Arbe Robotics (ARBE 9.09%) reported increased revenues and reduced losses, highlighting progress in both automotive and non-automotive radar markets. The company secured its first orders for complete radar systems outside automotive, initiated shipments to Chinese Tier 1 partner Hirain, and recorded new business from global robotaxi companies. Financial liquidity was strengthened with an $18.5 million capital raise, while cost reduction initiatives are set to further lower operational expense levels from Q2 onward.

  • The company noted that "A survey of 1,000 people across U.S. Europe and Asia came with a clear message showing that drivers are willing to pay, willing to switch their car and even their brand for fully operational Level 3, Level 4 autonomous driving."
  • Arbe's technology was newly included in NVIDIA's DRIVE Hyperion ecosystem, which management framed as validating the company's role in next-generation autonomous vehicle stacks.
  • Defense sector traction was described, including the U.S. Army purchasing "hundreds of units" of Arbe's radar for autonomous vehicle and perimeter defense applications.
  • Gross margin trends for radar systems versus chipsets were distinguished by management: system margins are typically "a bit lower" percentagewise, but deliver higher dollar profit per unit compared to chipsets.
  • The current backlog of $1 million is expected to be realized within the next 12 months, per the CFO's clarification on the call.

INDUSTRY GLOSSARY

  • 4D Imaging Radar: Radar technology providing high-resolution, long-range detection of objects in four dimensions (range, azimuth, elevation, and velocity), critical for autonomous driving applications.
  • Tape-Out: The final phase in semiconductor design where a circuit's design data is sent for fabrication, relevant to cost fluctuations during productization shifts.
  • Level 3/Level 4 Autonomy: Defined by the SAE as, respectively, conditional and high-level automated driving, where a vehicle can perform all driving operations under specific conditions (Level 3) or in broader circumstances (Level 4).

Full Conference Call Transcript

Ram Machness: Thank you, Kenny. Good morning, everyone, and thank you for joining us to review Arbe's first quarter 2026 results. I stepped into the CEO role in April, and I see significant potential ahead for Arbe. During the first quarter, we made strong progress and accelerated on the strategy we set out at the start of the year. Today, I will focus on the main areas where we are making progress. Arbe is growing from a chipset focused automotive company into a supplier of complete radar solutions across automotive and increasingly into adjacent markets. This quarter, we hit several commercial milestones that reflect this transition. We began shipping chips into China through our Tier 1 Hirain.

We received orders from robotaxi customers. We also received orders for data collection programs with global automakers and leading mobility players. I will now go deeper into each of these areas, starting with automotive. Let's start with China, the fastest-moving automotive market in the world. During the quarter, we shipped the initial batch of chipsets to Hirain. These chipsets support the production of 48x48 channel radar, a project that we announced in December in which Hirain is developing a Level 4 autonomous vehicle solution for a Chinese automaker. In parallel, Hirain is developing new radar also based on our chipsets with 24x12 channels designed as a lower cost system that can be used by a wider range of vehicles.

This configuration complements its existing high-end 48x48 radar system based on our chipset. With our technology, Hirain is becoming a key radar platform player in China. It can offer OEMs a path from high-end radar systems that are available today in China to full 2K ultra-high-resolution performance. China sold 34.4 million vehicles in 2025 through a local Tier 1 Arbe gained direct access to one of the world's largest and fastest-moving markets for Level 2+ and Level 3 deployments. Turning to robotaxis. We received orders for our Phoenix radar system from global robotaxi companies. These systems support Level 4 autonomy and full 360-degree sensing. This clearly shows that our high-resolution radar delivers the performance and coverage required for Level 4.

More broadly, we see strong and growing interest for our automotive chipsets. We are taking part in data collection programs with global automakers and leading mobility players. We have progressed into advanced collection processes with specific Chinese and European automakers. This evaluation focus more and more on the specific use cases where cameras and LiDARs fall short and where imaging radar becomes the key sensor. This strengthens our industry interest in our radar technology as a core sensing platform for autonomous driving program. This interest comes alongside an important shift in the automotive market. Recently, several leading OEMs have revisited their Level 3 program. We don't see this as a rejection of eyes-off-autonomy.

We see it as a reset, going back to the right basics of autonomy. The first-generation Level 3 systems had clear limitations. They were geofenced. Some were limited in speed, some limited to good weather only and many never reached commercial deployment. Besides the maturity of the algorithm, we believe that one other main reason for that is related to the performance of the sensor and specifically imaging radar not providing the needed performance. Based on our discussions with many OEMs, automakers are now actively looking at the next-generation eyes-off platforms and looking for sensing that can support Level 3 use cases. This is exactly the gap our high-resolution radar is designed to fill.

We also wanted to understand what drivers want from the eyes-off-autonomy. A survey of 1,000 people across U.S., Europe and Asia came with a clear message showing that drivers are willing to pay, willing to switch their car and even their brand for fully operational Level 3, Level 4 autonomous driving. Consumers are ready for eyes-off-autonomy, but only when it is safe, smooth and reliable. That is exactly the capability that Arbe's ultra-high resolution radar enables. You are invited to our website to learn more about this survey. Before moving beyond automotive, let me briefly touch on physical AI because it's becoming central to where our technology plays.

We are seeing how the revolution in AI and machine learning is introducing a new generation of algorithms. Those algorithms and specifically vision language action models are transforming how intelligent systems sense, understand and interact with the physical world. In automotive, it drives nothing but a breakthrough progress for Level 3 and Level 4 capabilities. And beyond automotive, it opens a wider opportunity across robotics, logistics and other autonomous systems. These physical AI systems are only as good as the real-world data they receive, especially in safety critical environments such as vehicles. This is where our best fits. Our radar provides dense sensing, long range, low latency and consistent performance in all weather.

This is exactly the type of machine understandable input that AI-driven autonomy needs. During the quarter, NVIDIA announced it expanded the global DRIVE Hyperion ecosystem to accelerate the road to full autonomy and cited Arbe as part of its platform. Our ongoing work with NVIDIA on radar-based free space mapping and AI-driven automotive capabilities is one example of how we are placing Arbe at the center of this major shift. Now let's look beyond automotive, where our technology is opening meaningful new opportunities. The first important development is that Arbe has begun selling complete end-to-end radar systems in addition to selling chipsets.

This allows us to address markets where consumers want a full radar solution and where sales cycles are much shorter. We already started shipping these systems to players across defense, homeland security, transportation applications, perimeter security, physical AI and several other applications. To support this, we have also set up dedicated production lines to scale system manufacturing. Taken together, these milestones show that our leadership in automotive radar can extend into perception-critical markets. We are expanding our reach, broadening our opportunities and significantly increasing our total addressable market. With that, I'll turn the call over to our President and Co-Founder, Kobi Marenko.

Jacob Marenko: Thank you, Ram, and good morning, everyone. Stepping into the President's role, my focus is on Arbe's long-term strategy, our strategic partnerships and guiding investments that accelerate Arbe's next phase of growth and commercialization. During the first quarter, we strengthened our balance sheet. We closed an underwritten registered direct offering that raised $18.5 million in gross proceeds. This gave us the financial flexibility to invest in Arbe's current phase of fast growth. What gives me a great deal of confidence is what this quarter demonstrates. Arbe's technology platform is broader and can focus on multiple end markets as well as automotive.

The same ultra-high-resolution radar that we built for automotive can be and is now beginning to be adopted much more broadly. We see increased interest and potential and in some cases, initial system sales in homeland security and smart infrastructure, as Ram already mentioned. And finally, the rise of physical AI, together with the OEMs demand for better autonomy solutions plays directly to our strengths, high-definition, long-range, all condition environment sensing. Ram has recently stepped into the CEO role with strong execution focus, deep product knowledge and the commercial understanding that is needed. And this will take Arbe from where we are today to scaled radar systems company across many markets.

I have worked closely with Ram over many years, and I have full confidence in his abilities as well as that of the entire team to bring Arbe to the next phase. I am more excited than ever about Arbe's potential over the coming quarters and years. With that, let me turn the call over to Karine to review the financials.

Karine Pinto-Flomenboim: Thank you, Kobi, and hello, everyone. Let me review our financial results for the first quarter of 2026 in more detail. Revenue for the first quarter of 2026 totaled $0.5 million compared to $0.4 million in Q1 2025. Backlog as of March 31, 2026, is $1 million. Gross profit for Q1 2026 was a negative $0.1 million compared to a negative $0.3 million in the same period last year. Turning to operating expenses. Total operating expenses for Q1 2026 were $11.2 million, down from $13.1 million in Q1 of 2025.

The decrease in operating expenses was primarily driven by lower share-based compensation expenses reflecting earlier grants that are now fully vested, along with last year's award being structured with half in cash and half in equity. The decrease was also related to the Q1 '25 tape-out expenses, which are reduced as we advance toward productization. This decrease in operating expenses was partially offset by the weakening of the U.S. dollar mainly against the Israeli shekel and to a lesser extent, by labor-based provisions and a merit increase. Operating loss for the first quarter of 2026 was $11.3 million compared to an operating loss of $13.4 million in the first quarter of 2025.

As previously announced, during the quarter, we implemented cost reduction measures that are expected to reduce our ongoing operating expenses by approximately 15% with the full impact expected to take effect starting during Q2. Adjusted EBITDA, a non-GAAP measurement, which excludes expenses for noncash share-based compensation and for nonrecurring items, was a loss of $9.9 million in Q1 of 2026 compared to a loss of $9.7 million in the first quarter of 2025. We believe that this non-GAAP measurement is important in management's evaluation of our use of cash and in planning and evaluating our cash requirements for the coming period.

Net loss for the first quarter of 2026 was $9.4 million compared to a net loss of $13.8 million in the first quarter of 2025. Net loss in Q1 2026 included $1.9 million in financial income compared to $0.5 million of financial expenses in Q1 of 2025. As of March 31, 2026, Arbe held $53.6 million in cash and cash equivalents and short-term bank deposits. Turning to our outlook. We are reaffirming the 2026 guidance we provided in February '26. We continue to expect full year revenue in the range of $4 million to $6 million and an adjusted EBITDA loss in the range of $28 million to $31 million loss. Now we will be happy to take your questions.

Operator?

Operator: [Operator Instructions] And our first question today comes from George Gianarikas with Canaccord Genuity.

George Gianarikas: I was wondering if you can go into a little bit more detail around the traction you're seeing in defense-related applications, drones, et cetera.

Jacob Marenko: So thank you, George, for the question. So basically, around defense, there are a few applications that our radar can function. The first is not so different from our automotive application. So it's autonomous vehicles, whether they are supply trucks or even armored vehicles. All of them want to drive safe, especially off-road in environments that are full of dust, rain, fog and all of the main problems that we -- that the radar is the best sensor for that. And for that, we already have a client, the American Army that bought from us hundreds of units. And we see another -- we believe that we will get another order for that as well.

Second application is defense -- defending perimeter, whether it's from human beings that trying to get into this area of a perimeter that we want to defend or even drones that can attack or throw some supply or drugs to those areas. And we definitely see this as something that it's application that our radar can supply. But on top of it, there is -- I would say that those are the two main initiations that we are in, but there is a few other smaller applications that the radar especially our radar can help with. And if a year ago, we were not even considering those markets. Today, we are focusing on that.

And I'm trying to -- we are trying to do business development with all of the leading players with the big names of the defense industry as well as the new players. Also, this market is going through a real transformation. The players that were there 10 years ago, like the Lockheed Martins of this world are also changing as well as there is new emerging players that are taking their market share. And we are trying to work with the old players as well as with the new players and provide our solution.

George Gianarikas: And maybe just as a follow-up, you obviously mentioned the NVIDIA reference design. I'm wondering what the conversations have been like, how much additional traction? Or how has that changed any of the conversations you're having with OEMs and other partners in terms of deploying your imaging radar alongside NVIDIA?

Ram Machness: Yes. So I think that this question refers a lot on the -- who are the players that really can potentially bring AV stack, the autonomous vehicle software stack to the market because eventually, autonomous driving is all about software, all about algorithms and machine learning. And for sure, NVIDIA is the top player in the market today on that. So this is very important from all perspective of all the OEMs either they selected NVIDIA or even if they didn't select yet.

I think they are all looking at what's going on in the industry and who has the potential to get the AV stack to the finish line and really provide a reliable and sustainable solution to the consumer. So eventually, you want to get into your car and in the morning and drive safely to work and let the car drive it for you. So you can do something else and buy your time back by using the autonomous vehicle feature of your car. And there is a race right now. Many players are working towards that. For sure, NVIDIA is probably the strongest player there.

So it's very, very important for everyone what's going on with the NVIDIA platform and the NVIDIA AV stack for sure. There are other players as well. Also some OEMs are trying to build their own homegrown stack. So there are these players as well. But everybody is looking at what are the others are doing, and there is definitely a clear race right now on that. I think that it's really important to see the progress that we've seen recently on the algorithm level and the breakthrough that we all see in our everyday life in deep learning and AI.

This comes also into place with the autonomous vehicle software, and we'll see this coming into the market pretty soon, starting with China and moving forward with the Western world.

Operator: [Operator Instructions] Our next question comes from Casey Ryan at AmerX.

Casey Ryan: I had a couple of questions. Would you care to describe -- it sounds like you have multiple robotaxi opportunities. Is there a regional tilt to those? Or are they global, meaning North America, Europe, China? Or are they focused in one region?

Ram Machness: So the opportunities that we see right now are coming from North America, and we see also in China. So the main sales are definitely North America and China.

Casey Ryan: Okay. That's terrific. And then when you talk about supplying sort of the like full radar system versus a chipset, can you talk about maybe what the revenue differential or sort of the pricing differential is between those two as we think about unit growth in both products?

Ram Machness: Yes. So if we look at it, there are several factors that influence the change and significantly increase in the AUP, the average unit price when we talk about specifically the non-automotive -- the non-private automotive, two factors. One, is the fact that we are selling a complete system, not just the chipset, and that obviously drives the average unit price up. But also the volumes are much lower. So when we work on a Level 3 project with an OEM, the volumes are really high, okay? But then the negotiation power and the economy of scale drives the AUP down.

When you talk here about those projects, if it's a robotaxi, robot trucks, commercial vehicles, defense applications, the volumes are significantly lower on one hand side, but the AUP is significantly higher because of the -- because there is no economy of scale to the level that you have in the automotive industry. So we see a significantly higher AUP in the business of the radars-- the complete system compared to the automotive chipsets.

Casey Ryan: Okay. And then just sort of a small thing, but do you think ultimately, long term, the gross margins for both product lines are similar? Or do you think sort of the complete radar system might be lower long term?

Ram Machness: Yes. So usually, the gross margins, if you look at the mid-scale projects on systems are a bit lower than when you talk about chipset. They are a bit lower. That's always expected because when we charge for chipsets, we charge for the differentiation that we bring, okay? When you charge for system, you charge also for the mechanics, for the chassis for other components that are there basically. So when you look just the COGS margin, okay, they might be the profit though, the dollar profit per system is significantly higher. So when you look percentage-wise, yes, it's lower. When you look at the absolute dollar value, it's higher.

Karine Pinto-Flomenboim: And of course, worth mentioning the volumes, which are significantly different between systems and chips.

Casey Ryan: Yes. No. Understood. That's terrific. And then just one last question for me, maybe Karine. On the backlog, are we to take that as being kind of a 12-month backlog number or shorter or longer?

Karine Pinto-Flomenboim: No, this is 12 months, correct.

Casey Ryan: Okay. Terrific. And yes, so -- and like maybe to clarify for myself, that $1 million, it's fair to think would be consumed in '26? Or are you saying it's kind of 12 months from the end of Q1, basically?

Karine Pinto-Flomenboim: It's 12 months from the end of [ '21 ], but I assume all of this will be in '26 despite.

Operator: And our next question today comes from Matthew Galinko at Maxim Group.

Matthew Galinko: I'm curious what the cost was to stand up the full production line for radar. And I guess given your current capacity there, do you expect that's sufficient to meet what you have in the pipeline for defense and AI applications? Or do you expect you'll need to add the capacity over time?

Jacob Marenko: So we build our production line to supply the current capacity that is needed, which we assume going to be hundreds of systems per month, thousands of systems per year. The investment is not so dramatic. It will be on the low side of the hundreds of thousands of dollars, not more than that. And we have the ability to increase this capacity as time goes by and as the demand grow during the coming quarters.

Ram Machness: And we also started discussions with some contract manufacturers for expanding this production line further down the road.

Operator: And that does conclude our question-and-answer session for today. I'd like to turn the conference back over to Mr. Machness, CEO, for any closing remarks.

Ram Machness: On behalf of the entire management team at Arbe, I would like to thank you, our shareholders, for your continued interest and long-term support of our business. This quarter marked the start of a new chapter for Arbe, a chapter focused on turning our technology leadership into commercial scale across many markets. We have our first system-level order, growing robotaxi traction and expanding Chinese market opportunity through Hirain and a clear position at the center of the next wave of eyes-off autonomy and physical AI. Based on all of this, we believe Arbe is well placed to deliver meaningful value.

We look forward to updating you on our progress next quarter, and I personally look forward to taking on the CEO role to bring Arbe to the next level in its development. And with that, we end our call. Have a good day.

Operator: Thank you. Today's conference has now concluded, and we thank you all for attending today's presentation. You may now disconnect your lines, and have a wonderful day.