Our sustainability report is here
See how we’re working to make a positive impact and where we’re focusing our efforts.
Insights
Welcome to our knowledge platform, where we cover the promises, challenges, and prerequisites of developing automation, safety, AI, and software-defined vehicles.
61 results
The hard part of physical AI? Making it safe.
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.
Research
Explore our research papers.
Research
Between hype, hope and humility
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.
How can we achieve human-like driving?
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.
A platform for scalable enterprise AI agents
We built our AI platform around a simple idea: scaling AI works best when teams own their agents, tools, and knowledge.
Reimagining engineering
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.
Punching above its weight
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.
From paper to patent
Joakim Frid, Zenseact’s IP Manager, builds a collaborative innovation culture that balances openness with strategic IP protection, growing idea submissions, and celebrating inventors.
Looking without seeing
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.
