TomTom and DeepRoute.ai Combine Mapping With an AI Driving Stack
Credit: Linsey The Ember-Clad Blade

TomTom and DeepRoute.ai Combine Mapping With an AI Driving Stack

The companies have integrated TomTom location data into DeepRoute.ai’s automated-driving system ahead of a planned demonstration on Paris roads.
LS
Linsey Smith
Oct 12, 2026
1 min read

TomTom and DeepRoute.ai have integrated TomTom’s location data into DeepRoute.ai’s automated-driving stack, bringing high-detail mapping into an AI system designed to operate vehicles in complex road environments.

The companies signed a memorandum of understanding covering their technical collaboration and plan to demonstrate the integrated system on public roads during the Paris Motor Show.

The partnership highlights a persistent challenge in autonomous driving: AI must interpret more than the objects immediately visible to a vehicle. Research into human-like decision-making for safer self-driving systems has focused on how vehicles prioritize pedestrians, cyclists and other road users, while another recent framework links perception, decision-making and physical response during sudden road hazards.

TomTom argues that location intelligence supplies additional context about roads and surrounding environments that complements neural-network-based driving systems. DeepRoute.ai, meanwhile, is seeking to expand its automated-driving technology into additional international markets.

The companies have not announced a production deployment or commercial vehicle program from the partnership. For now, the Paris demonstration is intended to show how DeepRoute.ai’s driving software operates when paired with TomTom’s mapping data.

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