Foretellix

The problem: you cannot drive every scenario

A car company that wants to approve an autonomous driving system cannot just go out on the road and try. Too many of the most dangerous scenarios (a child suddenly running into the road, a truck changing lanes without signaling) are too rare to meet in enough physical test drives to build statistical confidence. Foretellix, founded in 2018 by Ziv Binyamini, Yoav Hollander and Gil Amid, built an answer to this problem: a platform that automatically generates thousands of simulated driving scenarios, including extreme variations that are hard to recreate in the real world, and checks how the system under test behaves in each one.

Foretify, and a standard the company itself led

The main product, Foretify, combines real test drives with virtual simulation in one platform, and is used by carmakers, Tier-1 component suppliers and mining companies developing autonomous vehicles. Foretellix does not only use the OpenSCENARIO 2.0 scenario description standard: it led its development at the international standards body ASAM, and Foretify was the first platform in the industry to support it natively. In May 2026 the company integrated NVIDIA's Alpamayo platform, to speed up synthetic data generation and testing for developers of AI-based autonomous vehicles.

Who invests and who buys

Foretellix has raised more than $135 million so far, led by 83North, with investment also from Woven Capital (Toyota's growth fund), NVIDIA, Temasek and Isuzu. This mix shows how the whole industry, from carmakers to chip suppliers, sees safety verification as shared infrastructure rather than competition. The company is headquartered in Israel, with more offices in the US, Europe and Asia. Its customers include Torc Robotics (a subsidiary of Daimler Truck), Woven by Toyota and Mazda. In 2025 it partnered with Voxel51 (3D data reconstruction) and with Inverted AI (driver simulation).

Why it matters beyond cars

As autonomous AI agents (not only cars, but also robots and other physical systems) enter areas where a mistake can cost human lives, the need for systematic testing infrastructure like Foretellix's becomes more relevant. The company itself describes its direction as "The Physical AI Toolchain," a broader term than just "autonomous vehicle," which hints at where it plans to expand.