Recogni Inc., developers of an AI vision cognition system for autonomous vehicles, has raised $48.9 million in a Series B financing round, led by WRVI Capital, a prominent global technology investor. The proceeds will help Recogni bring its perception platform to market and expand its engineering and go-to-market teams.
In addition to WRVI Capital, new investors Mayfield Fund, Continental, and Robert Bosch Venture Capital joined existing investors GreatPoint Ventures, Toyota AI Ventures, BMW i Ventures, Fluxunit – OSRAM Ventures, and DNS Capital in the current financing round.
Recogni’s AI-powered vision cognition module (VCM) will address the challenges of autonomous vehicle design and deployment. Applying innovations in artificial intelligence, application-specific integrated circuits (ASICs), and system software, the VCM will deliver groundbreaking performance at ultra-low power consumption, enabling high-resolution and high-frame-rate image processing from multiple cameras concurrently in real time.
“As Silicon Valley-based deep technology investors, we understand the impact that fundamental breakthroughs in silicon architecture, embedded software, AI algorithms, and power efficiency can have on autonomous vehicle development,” notes Sriram Viswanathan, Founding Managing Partner of WRVI Capital. “We were attracted to Recogni’s team, the innovations across multiple domains, and the potential to massively accelerate the journey to fully autonomous transportation. We are convinced their innovations have the potential to make them the leader in this market segment.”
“This investment is a strong endorsement of Recogni’s vision from venture and industry leaders. We are moving along our journey of solving the challenge of perception processing and power efficiency, by building the world’s highest-performing AI inference system at the lowest energy consumption,” adds R K Anand, Recogni’s Chief Executive Officer.
“As a people-first investor, it always begins with the team,” says Navin Chaddha, Managing Director, Mayfield. “I first met R K seven years ago. I have always been impressed by him and we have kept in touch since then. When you combine that with our belief in the renaissance of silicon, it was obvious that Recogni’s approach to AI edge inference will help develop new generations of safe, power-efficient, self-driving vehicles. We look forward to partnering with them as they help put silicon back into Silicon Valley.”
AI | autonomous vehicles | computer vision | object recognition | Recogni