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Strategic entry into the defense and homeland security markets targets high-margin, premium-priced opportunities where traditional radar and camera systems face limitations in drone detection and all-weather surveillance.

Revenue of $7.1 million in Q1 was impacted by the shifting of certain NRE milestones into future quarters, primarily due to OEM requests for additional content and accelerated activity timelines.

Achieved record unit shipments in Q1, representing approximately half of the total volume shipped in all of 2025, driven by the successful production ramp at Fabrinet.

The non-automotive 'Physical AI' segment is expected to grow from 1% of 2025 revenue to up to 10% in 2026, reflecting urgent demand for LiDAR in security and autonomous delivery applications.

Strategic positioning for future automotive programs centers on the Innoviz3, which features a smaller form factor and integrated color imaging to meet OEM requirements for behind-the-windshield installation.

Management attributes long-term growth potential to the transition from NRE-heavy revenue (70% in 2025) toward higher-margin LiDAR series production as existing programs reach SOP.

Reiterated full-year 2026 revenue guidance of $67 to $73 million, assuming the recovery of delayed NRE payments and continued acceleration of unit shipments in the second half of the year.

Guidance assumes the addition of 2 to 3 new programs in 2026, supported by active participation in multiple RFQs with decisions expected in the second half of the year.

Anticipates significant gross margin improvement later in 2026 as higher production volumes lead to better absorption of fixed costs at the Fabrinet facility.

Expects to secure $20 to $30 million in new NRE payment plans during 2026, maintaining NREs as a stable dollar-basis component of the business during the transition to series production.

The outlook for Level 4 autonomous platforms suggests potential for faster expansion than initially expected, particularly within the robotaxi and autonomous trucking ecosystems.

Identified a critical gap in the defense market for drone detection 'under the radar,' where LiDAR's fine angular resolution provides a unique layer of protection against small, low-altitude targets.

Reported a negative 22% gross margin for Q1, explained by a combination of revenue mix and low absorption of fixed production costs during the early stages of the ramp-up.

Noted a shift in the competitive landscape toward directional sensors over traditional 'spinners' for Level 4 applications, positioning the InnovizTwo portfolio to capture replacement opportunities.

Highlighted geopolitical discussions as a factor influencing the competitive environment, potentially favoring non-restricted LiDAR technology providers in Western markets.

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Management noted that defense ASPs are significantly higher than automotive, with a high sense of urgency for drone detection solutions driving fast adoption.

Confirmed receiving multiple daily inquiries regarding defense applications, suggesting this segment could scale rapidly due to a lack of viable alternative technologies.

Management claimed the Innoviz3 is the most optimized solution currently available for behind-the-windshield installation, a 'holy grail' requirement for OEMs.

The integration of color into the LiDAR point cloud was specifically designed to solve packaging constraints where cameras and sensors compete for limited space.

The revenue shift was caused by an OEM request to pull forward future activities, creating additional tasks that extended beyond the quarter's end.

Management confirmed that POs are already in place for these milestones and expects to complete all related tasks and recognize the revenue within the 2026 calendar year.

Innoviz achieved a 70% cost reduction between the first and second generations, with an additional 35% to 40% reduction expected for Innoviz3.

Management emphasized that LiDAR has no 'fundamentally expensive' components, and further reductions will stem from silicon-based receivers, proprietary ASICs, and industrial scale.