Lidwave has raised $10M to advance computer vision with on-chip LiDAR systems
Lidwave has closed a successful $10 million seed funding round that will enable it to continue developing its FCR™ technology, a novel approach to LiDAR based on light's coherence. With its FCR™ technology, Lidwave expects to unlock scalable production that makes LiDAR a mainstream technology.
Lidwave is a Jerusalem-based company working on overcoming the limitations of current LiDAR systems with its novel FCR™ (Finite Coherent Ranging) technology. Unlike traditional LiDAR, the FCR™ technology delivers precise depth and Instantaneous Velocity data by leveraging light's coherence. In a nutshell, FCR™ achieves this by treating light as a wave rather than using techniques that treat it as a stream of particles, like photon counting. Because of its capability to stream real-time, high-quality raw Range, Reflectivity, and Instantaneous Velocity (Doppler) data per pixel, the FCR™ technology does not require complex computations or post-processing to provide accurate understanding of scene dynamics.
In addition to revolutionizing LiDAR technology with an approach based on light's coherence, the FCR™ technology also enables the integration of all the LiDAR system components into a single chip with a small footprint. This reduces manufacturing complexity, unlocks scalable production, and ensures the resulting system is robust, scalable, and cost-effective. This is in contrast to traditional LiDAR systems, which are complex systems requiring precise calibrations whose price tags can run in the tens of thousands of dollars for a single high-end unit.
Lidwave recently announced it has closed a $10 million seed funding round co-led by Jumpspeed Ventures and Next Gear Ventures, supported by a leading Swedish truck manufacturer. The company plans to invest the capital to continue the development of its optical chip, preparing for the launch of its FCR™-powered Odem sensor, and expanding its market presence.
Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.
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