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$20m for autonomous cars with neuroscience decision-making

$20m for autonomous cars with neuroscience decision-making

Business news |
By Nick Flaherty

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Motor.ai in Germany has raised $20m for autonomous driving software that it says will fast track global deployment of safe autonomous cars.

The Berlin-based company is planning to operate vehicles with its autonomous driving software in several districts in Germany with a safety driver later this year. The seed funding round was led by Segenia Capital and eCAPITAL for type approval for public roads and the subsequent deployment of fully autonomous vehicles in 2026. This is taking on software stacks from Wayve, Nvidia and Oxa

At the heart of the system is a cognitive architecture rooted in active inference, a model from neuroscience that allows vehicles to make structured, transparent decisions.

The full-stack system, in development since 2017, meets the most stringent European and international safety and compliance requirements, including UNECE approval standards, ISO 26262 (ASIL-D), Regulation (EU) 2022/1426, Autonomous Vehicles Approval and Operation Ordinance (AFGBV), GDPR, the EU AI Act, and upcoming Cyber Resilience Act provisions.

“Our solution meets key requirements for transparency and traceability of autonomous driving decisions, as required by authorities,” said  Roy Uhlmann, CEO and co-founder of motor.ai. “That clearly distinguishes us from US providers and at the same time optimally complies with European regulatory requirements.”

“In a regulated environment like Europe, trust and compliance are non-negotiable,” said Michael Janßen, General Partner, Segenia Capital. “Motor.ai has built a solution that is not only technologically differentiated but fundamentally aligned with how Europe thinks about infrastructure and public safety. This is how autonomy will scale in future.”

“We don’t think the future of autonomy in Europe should be a mystery,” added Uhlmann, explaining the fundamentally different approach Germany and the EU takes in comparison to other markets. “It should be measurable, inspectable, and designed to earn public trust. That’s what we’ve been building, and now we’re ready to scale it.”

www.motor-ai.com

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