Data Automation
for AI-Powered Autonomy

The Trusted Development Toolchain for
Training and Validating AI-Powered AV Stacks

The Trusted Development Toolchain for Training and Validating AI-Powered AV Stacks

Train

Train AI-powered AV stacks with curated real-world data sets complimented 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

Customer Testimonials

Customer
Testimonials

“Foretellix is a pioneer in scenario-based technologies. Their verification tools help us to create and run scenarios at scale”

Janine Günther

“At Woven, we verify and validate all of the software that we put into a vehicle before we put it out on the road”

George Kellerman

“Nuro’s AI-first Level-4 self-driving technology is verified and validated before every deployment on public roads”

Sreeja Roy Singh

“Foretellix’s technology, toolchain, support and commitment were really essential for us to ensure our progress and our future deployments”

Luca Delgrossi

  • 2
  • 3
  • 4
  • 5

“Foretellix is a pioneer in scenario-based technologies. Their verification tools help us to create and run scenarios at scale”

Janine Günther

“At Woven, we verify and validate all of the software that we put into a vehicle before we put it out on the road”

George Kellerman

“Nuro’s AI-first Level-4 self-driving technology is verified and validated before every deployment on public roads”

Sreeja Roy Singh

“Foretellix’s technology, toolchain, support and commitment were really essential for us to ensure our progress and our future deployments”

Luca Delgrossi

  • 2
  • 3
  • 4
  • 5

Evaluate

Evaluate the AV stack’s performance, quality and safety by automatically unifying, fixing, curating and cleansing real-world drive and simulation data to identify relevant and valuable data, coverage gaps and unknowns

Generate

Close the gaps and expose unknowns by truthfully replaying and automatically enriching real-world drive data with realistic variations and synthetic generation of edge cases at scale

Evaluate

Evaluate the AV stack’s performance, quality and safety by automatically unifying, fixing, curating and cleansing real-world drive and simulation data to identify relevant and valuable data, coverage gaps and unknowns

Generate

Close the gaps and expose unknowns by truthfully replaying and automatically enriching real-world drive data with realistic variations and synthetic generation of edge cases at scale

200%

Productivity

Reduce training and validation time by half

Millions

Scalability

Automatically generate and evaluate millions of intelligent scenario instances

10x

Safety

10x more efficient for reaching optimal ODD coverage 

100s

Expertise

Proven data-driven verification & validation tools across 100s of complex projects 

Foretify - The Trusted Development Toolchain for AI-Powered AV Stacks

Foretellix’s Foretify data-automation platform maximizes and enriches the data for scalable, efficient, and safe development of AI-powered autonomous vehicle (AV) stacks

Our Partners

News

Foretellix Expands Data Automation Toolchain for AI-Powered AV Development with Breakthrough Simulation Capabilities Using NVIDIA Omniverse and Cosmos Transfer

Foretellix and MathWorks Partner on Innovative Toolchain to Accelerate Mazda’s Next Generation AV Development

Virtual Testing Gains Regulatory Ground: How AEBS Regulation Sets the Stage for Industry-Wide Transformation

Ready to accelerate your journey to AI-powered autonomy?