Perciv

Perciv AI specializes in developing advanced perception algorithms for the automotive sector, specifically targeting advanced driver-assistance systems (ADAS) and autonomous driving. The company was founded in 2022 by Christian Troncoso and Sid Misra, both of whom have extensive backgrounds in artificial intelligence and computer vision. Troncoso, the CEO, previously led LiDAR perception development at Motional and held research positions at esteemed institutions like the MIT Lincoln Laboratory, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), and the Johns Hopkins University Applied Physics Laboratory. Misra, the CTO, brings experience from his time at Microsoft and as a co-founder of a Y-Combinator-backed startup, with a focus on deep learning and AI at scale.

The core of Perciv AI's offering is its patent-pending IMPERIUM™ AI-powered algorithm. This technology is designed to address critical challenges in ADAS, such as reducing false alarms and improving the detection of vulnerable road users like pedestrians and cyclists. IMPERIUM™ processes raw data from automotive imaging radar, aiming to enhance the performance of driver-assistance features including Automatic Emergency Braking (AEB). By providing a more accurate and reliable environmental perception, the technology helps to prevent collisions and improve overall vehicle safety. The company's business model revolves around licensing its software to Tier 1 automotive suppliers and Original Equipment Manufacturers (OEMs).

Perciv AI emerged from stealth mode in January 2024 and has since established its headquarters in Boston, Massachusetts. The company's technology is sensor-agnostic, meaning it can be integrated with various types of imaging radars. This flexibility allows automotive manufacturers to enhance their existing ADAS platforms without being locked into specific hardware. The primary goal is to make sophisticated safety features, previously available only in high-end vehicles, more accessible across the mainstream automotive market.

Keywords: perception algorithms, autonomous driving, ADAS, automotive safety, imaging radar, computer vision, AI, collision avoidance, automotive software, vulnerable road user detection