Foretify Platform Overview
The trusted toolchain for the development, training and validation of safe autonomous vehicles.
Foretellix’s Foretify data-automation platform maximizes and enriches the data for scalable, efficient, and safe development of AI-powered autonomous vehicle (AV) stacks. It enables data-driven training and validation by curating real-world and synthetic data, and augmenting it with hyper-realistic variations and synthetic scenarios to accelerate the development of AI-powered AV stacks.
The Complete Data Automation Platform
Foretify Evaluate
Automatically unify, curate, and cleanse both real-world and simulation data to reveal critical coverage gaps and hidden bugs.
Intelligent data curation for training/validation
Scenario search and prioritization
Performance, quality & safety evaluation
Unified ODD coverage metrics
Visual debugging and anomaly flags
Drive scenario variation and generation with physics based sensor simulation
Generate
Generate realistic and varied synthetic scenarios to train and test your AV stack across diverse vehicle and VRU behaviors, geographies, conditions, and edge cases.
Physics based synthetic sensor simulation
Closed-loop and reactive simulation
Real-world log variation and enrichment
Automated scenario generation at scale
Edge case generation and unexpected testing
Drive scenario variation and generation with physics based sensor simulation
Scalable and Seamless
Foretify is an open platform - compatible with industry-leading simulators
Architected for large-scale deployment in the cloud or on-premises
Native support for OpenSCENARIO DSL, ensuring formal, reusable, and specialized scenario definitions across workflows
Integrated with NVIDIA Omniverse and Cosmos for hyper-realistic sensor simulation and scenario generation
