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AI-Assisted Methodology Scales Compliance of Autonomous Driving Systems

At a high level, Autonomous Driving System’s (ADS) safety standards are aligned in their intent. Whether in the U.S., Europe, or Asia, the expectation is the same: systems must demonstrate safe behavior across a wide range of real-world scenarios. But while the destination is consistent, the path to getting there is not. Standards like […]

By Janine Golpashin • October 6, 2026

Gil Amid

UNECE WP.29 R185 Requires Coverage – What It Means for AV Developers

UNECE WP.29 R185 introduces a new requirement for autonomous vehicle certification: manufacturers must provide evidence of reasonable Operational Design Domain...

Janine Golpashin

Making Sense of the Standards in AV

Autonomous vehicle safety depends on a growing ecosystem of standards, frameworks, and regulations. This guide explains the most important ones,...

Team Foretellix

NVIDIA Alpamayo 2 Super Raises the Bar for Autonomous Driving — and for AV Validation

NVIDIA has released Alpamayo 2 Super, NVIDIA’s most powerful open driving foundation model to date

Nimrod Reiss

AI-Driven Analysis of AV Driving Data

AI can help autonomous vehicle teams analyze verification data at a scale humans cannot manage alone. Learn how AI-assisted analysis...

Sharon Rosenberg

The Road to Safety: Blending AI With Rule-Based Guardrails

Combining AI innovation with rule-based validation enables safer and more reliable autonomous vehicle development workflows.

Janine Golpashin

Scaling AI Validation with a Unified Framework for Simulation Trustworthiness

How can we turn simulation from a "black box" into a defensible safety case? Discover Foretellix’s unified methodology for measuring...

Sebastian Klaas

How AI helps Keeping Scenario Tests Aligned With Their True Purpose

Regression testing is one of the cornerstones of autonomous vehicle (AV) development. Once a test scenario is created, whether from...

YJ Patil

Leveraging AI to Optimize Scenario Curation for ADS Validation

In the quest to build trust in self-driving safety, it’s not about how far you drive, but what you find...

Team Foretellix

Interview with Glen De Vos – Foretellix’s Newest Board Member

You’re joining our board as Temasek’s representative, what about our technology, team, and vision excites you? What excites me about...

Sebastian Klaas

Why High-Fidelity Sensor Simulation is Critical for Physical AI Development and Testing

Autonomous vehicles (AVs) must safely navigate complex and unpredictable environments. Yet even the most advanced perception systems face limitations when...

Yaron Kashai

Streamlining AI-Driven Map Construction from Vehicle Perception Data

The autonomous vehicle industry is undergoing a transition from high-definition maps toward real-time perception-based navigation. This shift raises a critical...

Sebastian Klaas

Using AI to Bridge the Gap Between NCAP Compliance and Real-World Safety

Foretellix is bridging the gap between NCAP tests and AI driving stacks performing predictably and safely.

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