Qvyon Raises $8M to Validate Robots and Autonomous Vehicles Before Deployment

Qvyon Technologies Inc. opened its doors today backed by $8 million in funding aimed at enabling enterprises to rigorously test autonomous vehicles and robotic systems prior to real-world rollout. MaC Venture Capital anchored the round, joined by BDC Capital, BKR Capital and Spotlight VP.

Physical AI describes intelligent systems that operate beyond computational environments, functioning in tangible spaces where machines must perceive, reason and respond to their surroundings. Applications span manufacturing facilities, retail environments, kitchens and streets.

Deploying autonomous systems into production demands comprehensive understanding of performance across typical and edge-case scenarios. Recreating hazardous or unusual situations in actual field conditions presents significant practical and safety challenges. A self-driving vehicle might encounter a sudden lane change during heavy rain, or a robot's sensor suite could suffer obstruction or damage on an active production line.

Qvyon introduced Mimic Core, a platform that transforms actual sensor data into simulated test environments, generating diverse scenarios for validation. Engineers can evaluate physical AI systems and robotic configurations in virtual settings without needing to repeatedly gather new field data.

A single real-world recording enables engineers to produce numerous test variations, identifying failure points before machines enter operation. This approach allows teams to surface issues during development rather than after deployment.

We spent years building AI for vehicles and saw how hard it was to prove those systems were ready for the road. Companies need to test what happens in their own vehicles and factories by using their own recordings.

Frantz Saintellemy, co-founder and Chief Executive

The platform processes camera, lidar and radar feeds to construct three-dimensional reconstructions and temporal sequences of scenes. It generates demanding test conditions to stress-test AI models against the actual hardware they will operate in simulation. The result is traceable datasets and validation documentation that teams can reference when assessing system readiness.

Mimic Core integrates with existing virtual testing infrastructure already deployed by enterprises, enhancing scenario comprehension for robots and intelligent machines. The company provides Mimic Core as a cloud-based service or as an on-premises installation for organizations preferring data sovereignty. Qvyon emphasized that cloud customers' data remains isolated and never feeds into model training for other users.

Mimic Core launches today through Qvyon Cloud with a 14-day evaluation period, alongside on-premises deployment options. The funding will accelerate Mimic Core's expansion across the United States, Europe and Japan. Qvyon is also building Mimic Validation OS, scheduled for the first half of 2027, to assist companies in measuring and documenting validation results, and Mimic Learn, targeted for late 2027, to enhance AI performance using operational data from deployed machines.