Foretellix develops the Foretify Physical AI toolchain, combining real-world data curation, verification and validation (V&V), and synthetic data generation to develop, train, and validate autonomous vehicle AI stacks.
Data-automation platform combining real-world data curation, verification and validation, and synthetic data generation to develop, train, and validate autonomous vehicle AI stacks.
Data evaluation platform that unifies and curates real-world and simulated driving logs, measures ODD coverage, and surfaces safety and performance gaps for autonomous vehicle validation.
Synthetic data generation platform producing physics-based sensor-simulation scenarios, drive-log variations, and edge cases to train and validate autonomous vehicle AI models.
Consulting service that assesses a customer's development, verification and validation, and safety processes and provides implementation guidance for scenario-based testing at scale.