Foretellix has partnered with Inverted AI to launch a hybrid simulation solution that merges controllable scenario generation with predictive human behavior models, enabling autonomous vehicle (AV) developers to train, test, and validate their systems across realistic traffic conditions and rare, high-risk events at scale. The collaboration integrates Foretellix’s intelligent scenario creation, test automation, and data-driven analytics with Inverted AI’s naturalistic behavior models, which are trained on large volumes of real-world driving data to simulate lifelike interactions among vehicles, pedestrians, and cyclists. Foretellix generating precise conditions and Inverted AI providing reactive, human-like behavior for surrounding actors through its DRIVE API.
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This is enabled by Foretellix’s Behavioral Models API, offering a standardized method for synchronizing scenario logic with diverse behavior models. The environment delivers a highly realistic behavioral distribution that supports rigorous testing of both common and edge-case situations, reducing risk and accelerating AV readiness. “The integration between Inverted AI’s DRIVE API and Foretify™ will generate hyper-realistic training, testing and validation scenarios, driving down development times and improving system performance,” said Ziv Binyamini, CEO and Co-Founder of Foretellix. Frank Wood, CEO of Inverted AI, added that the integration enables the scale and precision required for safe and efficient AV validation.