Foretellix, Inverted AI Partner on Scenario-Based Testing

Foretellix, a provider of data-automation for AI-powered autonomy, has partnered with Inverted AI, a company focused on predictive human behavior modeling, to launch a hybrid simulation solution that combines controllable and efficient scenario generation with learned driving behavior models to generate scenarios that are reactive, realistic, and diverse.

The result is a tool for autonomous vehicle (AV) developers to train, test, and validate their AV stacks in simulation, across everyday traffic conditions and high-risk events, at scale. 

This joint solution combines Foretellix’s intelligent scenario generation and test automation with Inverted AI’s naturalistic AI behavior models. Developers can define what they want to test and Foretellix generates the conditions needed for the scenario. Inverted AI’s models then control surrounding road users, non-playable characters (NPCs), based on driving behavior learned from large-scale real-world driving data, enabling simulation of realistic human-like traffic interactions.

This integration is enabled through Foretellix’s Behavioral Models API, which provides a standardized interface for coupling scenario logic with varied behavioral models. 

Foretellix’s Foretify platform delivers the data-automation backbone for this solution. It defines scenario intent, generates test conditions, and automates large-scale simulation runs. Foretify also provides detailed analytics on safety, coverage, and model behavior.

Inverted AI’s DRIVE API provides learned behavior models trained on real-world driving data to control surrounding vehicles, pedestrians, and cyclists. These models produce human-like behaviors that enhance realism and better prepares AV systems for real-world traffic dynamics, the companies share.

“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,” says Ziv Binyamini, CEO and co-founder of Foretellix.

“Inverted AI’s predictive human behavioral models are designed to bring the most realistic behavior to simulation based on massive quantities of video data,” says Frank Wood, CEO of Inverted AI. 

The joint solution is available now for select partners, with broader rollout expected later this year.

About Inverted AI

Inverted AI builds predictive human behavior models for simulation and planning, using real-world data to train reactive, directable stochastic policies critical for achieving fully autonomous vehicles. 

About Foretellix

Foretellix has a Physical AI toolchain that accelerates the training, validation and safety evaluation of autonomous vehicles. 

For more information, see a live demo at CES 2026 (West Hall – Booth 4767).

Sources: Press materials received from the company and additional information gleaned from the company’s website.