Foretellix Accelerating Autonomy for Safer AI-Driven Vehicles
In the high-stakes race toward autonomous mobility, one company is fast becoming a front-runner. Foretellix, a data automation pioneer in AI-powered autonomy, has unveiled a significant leap forward with its enhanced Foretify platform—a development poised to halve the timeline for bringing autonomous vehicles (AVs) to market and slash development costs by hundreds of millions.
With operations out of San Francisco and Tel Aviv, Foretellix isn’t just pushing the envelope. It’s rewriting the rulebook entirely. The challenge of deploying safe, scalable AI on public roads has long felt like a Rubik’s Cube with missing pieces. But now, through cutting-edge simulation, synthetic data generation, and data-driven safety evaluation, Foretellix might just have cracked the code.
Overcoming the Triple Threat to AV Progress
Despite the promise of AI, developers face a trifecta of hurdles that block progress:
- Training the AI: Developers need to extract maximum value from existing drive data while supplementing it with hyper-realistic synthetic scenarios.
- Validating Safety: As AVs must operate safely in unpredictable real-world environments, proving reliability across thousands of edge cases is essential.
- Gaining Industry-Wide Trust: Stakeholders including regulators, insurers, and fleet operators require a standardised, independently verifiable safety framework.
Foretellix’s answer? A data-driven approach that bridges simulation and reality.
Inside the Foretify Platform
The Foretify toolchain doesn’t merely improve the workflow—it reinvents it. By harnessing real-world data and enhancing it with synthetic scenarios, Foretify dramatically expands coverage within a defined Operational Design Domain (ODD).
This means AV stacks are trained more effectively, using:
- Real-world logs, curated and processed automatically
- Synthetic data, layered with subtle variations to simulate unpredictable behaviours
- High-fidelity sensor simulations, powered by NVIDIA Omniverse and the NVIDIA Cosmos Transfer World Foundation Model
What’s more, the platform provides quantifiable safety evaluations. That means manufacturers can measure how safe their systems are—rather than relying on educated guesses or closed-track tests.
As Ziv Binyamini, CEO and Co-Founder of Foretellix, explains: “Physical AI creates a fast lane to autonomy that will ultimately improve our quality of life and help save millions of lives, but making it a reality requires an intelligent, data-driven approach to address AI’s inherent limitations.”
Big Names, Big Backing, Big Impact
Foretellix isn’t flying solo. It’s backed by a powerhouse of investors including Toyota’s Woven Capital, Temasek, Volvo, and NVIDIA. These aren’t just names on a pitch deck—they’re active collaborators.
Major OEMs and AV leaders already on board include:
- Volvo
- Mazda
- Woven by Toyota
- Daimler Truck subsidiary Torc
- Nuro
Tilo Schwarz, Vice President of Engineering at Nuro Driver™, is clear about Foretellix’s value: “We use Foretellix as part of our validation stack combining large-scale scenario generation of both Urban and Highway ODD with analysis of real-world logs.”
Meanwhile, Torc CEO Peter Vaughan Schmidt adds: “Their Data-Automation Toolchain enables the large-scale simulation and rigorous scenario testing essential to validating our physical AI level-4 autonomous system and ensuring that safety remains at the core of everything we do.”
Simulation Meets Supercomputing
At the heart of Foretellix’s latest advance is its deepening integration with NVIDIA.
By joining forces with NVIDIA Omniverse and Cosmos, Foretify can now generate sensor data with mind-blowing fidelity. This allows AVs to train in richly detailed environments that mimic real-world chaos—from erratic cyclists and low-visibility roundabouts to jaywalking pedestrians.
Zvi Greenstein, General Manager for Autonomous Vehicles Infrastructure at NVIDIA, had this to say: “By leveraging NVIDIA Omniverse and NVIDIA Cosmos, the Foretify toolchain can evaluate and generate high-fidelity testing scenarios and training data at scale.”
This level of realism is a game-changer. It drastically shortens the distance between design and deployment.
Award-Winning Innovation
Foretellix’s efforts haven’t gone unnoticed. The company recently bagged the Simulation Innovation of the Year at the 2025 Automotive Testing Technology International Awards.
Academic voices are chiming in too. Dr Huw Davies from Coventry University’s Centre for Future Transport and Cities commented: “The complexity of the traffic environment and its edge cases requires efficient ways of generating reliable test scenarios. The ability to provide varied and high-quality synthetic data is key to unlocking this problem.”
With these accolades under its belt, Foretellix’s tech is no longer a nice-to-have. It’s becoming mission-critical.
The Broader Impact on Mobility
But let’s zoom out. Beyond the engineering labs and conference booths, why does this all matter?
Because the faster AVs can be deployed safely, the sooner we unlock the societal benefits:
- Fewer road fatalities
- Greater mobility access for the elderly and disabled
- Reduced traffic congestion and emissions
It’s not just about getting to market first. It’s about getting there responsibly.
Binyamini drives the point home: “Training, validating and providing evidence of autonomous systems’ safety are the key drivers for this industry to progress. Foretellix’s solution helps foster innovation and reduce the barriers to entry for AV developers, vehicle manufacturers and entrepreneurs, democratizing the road to driverless autonomy.”
A Road Worth Taking
With its next-gen data automation toolchain, partnerships with global tech titans, and a clear-eyed mission to prove AV safety, Foretellix is lighting the way forward.
Autonomy may still be a few bends in the road away. But with platforms like Foretify turning science fiction into scalable engineering, the destination suddenly feels a lot closer.
