New terahertz-vision sensors promise higher resolution, all-weather reliability, and lower system complexity for future autonomous fleets.

Boston-based startup Teradar has raised $150 million in Series B funding to scale its breakthrough “terahertz-vision” sensor—a technology positioned to outperform both radar and LiDAR in autonomous vehicles.

The sensor operates in the terahertz band and delivers up to 20× the resolution of traditional automotive radar. It also maintains high image quality in fog, rain, and snow, offering LiDAR-level detail with radar-like robustness.

Teradar is developing a 200–250 m range version for passenger cars and a 350–400 m version for trucks, supporting long-range perception in commercial and autonomous fleets.

The round was led by VXI Capital, with participation from IBEX Investors, Capricorn Investment Group, The Engine Ventures, and Lockheed Martin Ventures. The company is already collaborating with five major automakers and plans to secure its first production program in 2028.

Beyond automotive, Teradar sees applications in defense, manufacturing, and industrial automation.

Why it matters for logistics:

For trucking and delivery operations, Teradar’s sensor could significantly enhance safety and reliability in autonomous systems. By potentially replacing both radar and LiDAR, it may reduce the cost, weight, and complexity of sensor suites, accelerating the adoption of autonomous freight vehicles.