Teradar emerges with $150M backing to replace radar and LiDAR in autonomous vehicles

Boston startup emerges from stealth with world's first commercial terahertz vision chip that delivers 20x radar resolution while seeing clearly through fog, rain and snow

(Photo: Teradar)

Boston-based Teradar recently emerged from stealth mode, introducing the world’s first commercial terahertz vision sensor. The company secured $150 million in Series B funding led by VXI Capital with participation from IBEX Investors, Capricorn Investment Group, The Engine Ventures and Lockheed Martin Ventures to develop technology that delivers 20 times the resolution of current automotive radar.

Teradar was founded five years ago with the goal of creating an entirely new sensor category. “The entire premise from day one was, ‘How do you create a completely new category of sensor that isn’t trapped by the fundamental trade-offs of radar and LiDAR?’” said Matt Carey, CEO and co-founder of Teradar, during an interview with FreightWaves.

The innovation addresses fundamental limitations in current vehicle perception systems. “LiDAR is incredibly precise, but it’s expensive and it falls apart in bad weather—fog, rain, snow, sleet. Radar is cheap, sees far in any weather, but the resolution is terrible,” Carey added.

The terahertz band represents what the company calls the “Goldilocks frequency”—offering wavelengths long enough to penetrate adverse weather conditions like radar while short enough to provide extremely high angular resolution.

“We went to the very last unused practical band—the terahertz band—and turned it into a sensor,” Carey said. “Long enough wavelength to bend around raindrops and snowflakes like radar, short enough to give you insane angular resolution.”

The technology performs consistently in adverse weather conditions, maintaining image quality through fog, rain and snow. “I can flood this entire scene with dense fog, heavy rain or snow, and our image stays exactly the same. Zero degradation. That is not an incremental improvement. That is a new category,” Carey said.

During the interview, Carey shared a technical demonstration comparing Teradar’s capabilities with a Continental ARS540 radar, a high-end sensor used in Mercedes S-Class vehicles and heavy trucks. The comparison showed Teradar producing approximately 20 times more data points than the radar, with sufficient detail to distinguish human limb movements and precise environmental features.

For automotive applications, Teradar’s technology particularly enhances Level 3 automation (hands-off, eyes-off driving). “Where we move the needle is true L3 at mass-market prices,” Carey said. The architecture allows performance tuning for specific vehicle segments: trucks receive long-range versions reaching 350–400 meters, while passenger cars might use versions optimized for 200–250 meters with denser point clouds for urban driving scenarios.

The company has prioritized supply-chain resilience with a manufacturing strategy focused on U.S. and European Union foundries. “No China sourcing for the critical stuff, and we have full Taiwan contingency plans,” Carey said. “Automotive OEMs demand supply-chain resilience; we were built that way from the beginning.”

Regarding future prospects, Teradar plans to showcase its production-intent silicon (B-sample) at the upcoming Consumer Electronics Show (CES). The company projects sensor deliveries to customers in 2027, with vehicles utilizing the technology on roads by 2028.

Teradar’s potential market position remains flexible, with some OEMs indicating they might replace radar with Teradar while retaining LiDAR, others planning the opposite approach, and a “growing camp” considering a streamlined perception suite of cameras and Teradar only.

“Our goal is to be good enough to replace both,” Carey said. “We don’t dictate architecture—we just give them a sensor so good they can choose whichever path makes sense for their brand and their market.”

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Thomas Wasson

Based in Chattanooga, Tenn., Thomas is a writer and trucking analyst at FreightWaves. He reports on emerging truck technology trends and hosts the Truck Tech and Loaded and Rolling newsletters and podcasts. Previously, he worked at the digital trucking startup aifleet, Arrive Logistics and U.S. Xpress Enterprises. While at U.S. Xpress, he focused on fleet management, load planning, freight analysis and truckload network design.