Foretify Toolchain Overview
The Trusted Development Toolchain
for AI-Powered AV Stacks
Foretellix’s Foretify data-automation toolchain 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 Toolchain
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 triage
Foretify 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 unscripted testing
Scalable and Seamless
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 consistent scenario definitions across workflows
Integrated with NVIDIA Omniverse and Cosmos for hyper-realistic sensor simulation and scenario generation
Integrated with Mathworks Roadrunner for concrete scenario design and generation
Ready to accelerate your journey to AI-powered autonomy?
