AutoBrains Technologies

AutoBrains Technologies is an Israeli company specializing in the development of self-learning artificial intelligence for advanced driver-assistance systems (ADAS) and autonomous driving. Founded in 2019 as a spin-off from Cortica, a company with over a decade of research into how the brain processes signals, AutoBrains was established by Igal Raichelgauz and Professor Yehoshua Zeevi. Raichelgauz, the CEO, brings a background from his time as a Major in an elite intelligence unit of the Israel Defense Forces and his experience at Cortica. Co-founder Professor Yehoshua Zeevi has a distinguished career in academia and research, particularly in neural computation and image processing, providing a strong scientific foundation for the company's technology.

The company has developed a novel, 'unsupervised learning' approach to AI, which contrasts with the traditional 'supervised learning' methods prevalent in the automotive industry. Their system applies 'signature-based' AI, which learns from raw, unlabeled real-world data, significantly reducing the reliance on manually labeled data. This method aims to lower the computational power, cost, and time required to develop and deploy autonomous driving solutions. The core product is a software platform that can be integrated with various types of hardware, offering automakers a more efficient and scalable path to vehicle autonomy.

AutoBrains' business model centers on licensing its AI software platform to Tier 1 automotive suppliers and original equipment manufacturers (OEMs). The company targets the global automotive market, providing a solution that can enhance existing ADAS capabilities and accelerate the development of fully autonomous vehicles. A significant milestone was achieved in 2021 when the company raised $101 million in a Series C funding round led by Temasek, with participation from existing and new investors such as BMW iVentures and Continental. This capital infusion is intended to expand the company's global presence and further develop its self-learning AI technology.

Keywords: autonomous driving, artificial intelligence, ADAS, unsupervised learning, automotive software, computer vision, neural computation, signature-based AI, mobility technology, Tier 1 suppliers