The Physical AI Toolchain
For AI-Powered Autonomy
The trusted toolchain for the development, training and validation of safe autonomous vehicles
Train
Train AI-powered AV stacks with curated real-world data and complemented with realistic and diverse augmented and synthetic data.
Validate
Validate the AV stack by generating massive amounts of realistic synthetic data and evaluating the real-world and simulation data coverage and safety evidence.
Customers Testimonials
“Together, we’re enabling NVIDIA developers to design, test, and safely deploy AI-powered vehicles with greater confidence and scale.”
“Foretellix’s Data-Driven Autonomy Development Toolchain provides a fast, measurable, and trusted path to our goal of delivering safe and scalable autonomous systems.”
“At Woven, we verify and validate all of the software that we put into a vehicle before we put it out on the road.”
“Foretellix’s Data-Driven Autonomy Development Toolchain provides a fast, measurable, and trusted path to our goal of delivering safe and scalable autonomous systems.”
Foretify gives AV development teams the tools required to do:
Data Curation
Maximize the value of real-world driving data for use in AV development and testing. Build a cost effective Data Warehouse with efficient data ingestion and denoising, automatic temporal labeling, focused queries and scalable data augmentation.
Training & Validation
Evaluate and find gaps and unknowns in the AV stack’s performance, coverage and safety, by applying AI and big-data analytics to millions of miles of real-world and simulated drives.
Synthetic Data Generation
Close the gaps and expose unknowns, by automatically generating variations of real-world drives and synthetic scenarios at scale, for training and advanced verification and validation (V&V).
Foretify Physical AI Development Toolchain
Data Curation
Maximize the value of real-world driving data for use in AV development and testing. Build a cost effective Data Warehouse with efficient data ingestion and denoising, automatic temporal labeling, focused queries and scalable data augmentation.
Training & Validation
Evaluate and find gaps and unknowns in the AV stack’s performance, coverage and safety, by applying AI and big-data analytics to millions of miles of real-world and simulated drives.
Synthetic Data Generation
Close the gaps and expose unknowns, by automatically generating variations of real-world drives and synthetic scenarios at scale, for training and advanced verification and validation (V&V).
Foretify Physical AI Development Toolchain
2x
Productivity
Reduce training and validation time by up to 2x
Millions
Scalability
Automatically generate and execute millions of intelligent scenario instances
10x
Safety
10x more efficient for reaching corner case coverage
100s
Expertise
Proven data-driven verification & validation tool across 100s of complex projects
