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The AI Scenario Engine

DeepScenario’s AI Scenario Engine is an end-to-end platform to prove the intelligence and safety of any autonomous system that must operate in the physical world.  The AI Scenario Engine enables training, testing, and validation of autonomous systems against real-world edge-case scenarios, staged against any location, and against any ambient conditions.  Our platform yields unique insights across each scenario run, enabling the release of new software functionalities quickly, cost-effectively, and with minimal environmental impact.  The AI Scenario Engine has been used by the world’s most recognizable companies to solve the challenges of autonomous system deployment.

Get real-world traffic data from any location in the world

Train and test your system at scale in challenging scenarios

Obtain actionable insights to improve your algorithms

Explore DeepScenario’s real-world traffic data

Our Advisors

Dr. Michael Bolle
Chairman of Carl Zeiss Supervisory Board, Ex-CTO of Bosch
“DeepScenario established an AI driven world-class SW product that will radically advance the validation process of autonomous systems.”
Prof. Dr. Daniel Cremers
Chair of Computer Vision and AI at TUM
“DeepScenario’s groundbreaking product creates a solid foundation for the development of intelligent automated systems.”
Dr. Michael Bolle
Chairman of Shareholder Council Carl-Zeiss-Stiftung, Ex CTO & CDO of Robert Bosch GmbH
“DeepScenario established an AI-driven world-class software product that will radically advance the validation process of autonomous systems.”
Prof. Dr. Daniel Cremers
Chair of Computer Vision and AI
at TUM
“DeepScenario’s groundbreaking product creates a solid foundation for the development of intelligent automated systems.”

We are hiring!

We are always eager to learn about passionate talent interested in strengthening our team on the business (e.g. automotive sales) and technical side (e.g. software engineering).
View Open Positions

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