Insights

Jesper Frykestig shares how the first sustainability report brings together road safety, environmental responsibility and collaboration, creating a clearer baseline for the company’s future progress.

See how we’re working to make a positive impact and where we’re focusing our efforts.

Jonas Ekmark explains why physical AI for driving demands rigorous engineering, hybrid safeguards, representative data, and a safety culture that permeates every decision and release.

AI offers huge promise, but real value comes from practical infrastructure, smart trade-offs, self-reliance, and knowing how to turn ambition into useful results.

Why today’s AI still falls short of human learning: Willem Verbeke on mental simulation, prior knowledge, and why autonomous systems remain stuck in the past.

We built our AI platform around a simple idea: scaling AI works best when teams own their agents, tools, and knowledge.

Erik Rosén explores how to combine end-to-end AI driving with safety guardrails, highlighting how high-quality data, foundation models, AI-powered annotation, MLOps, and neural simulation support driving systems.

Listen to Wasil as he breaks down how generative physics and AI speed up simulations, reshape engineering workflows, and unlock faster, more personalized vehicle design.

Professor Amy Loutfi discusses Sweden’s AI leadership, embodied robotics, data and regulation, and how AI-driven scientific discovery could transform our approach to humanity’s toughest challenges.

Joakim Frid, Zenseact’s IP Manager, builds a collaborative innovation culture that balances openness with strategic IP protection, growing idea submissions, and celebrating inventors.

Explore combining synthetic and real visual data with privacy and security in mind, as Batu and Veronika discuss lossless anonymization and policy on Deeper learning.