Physical AI validation infrastructure and software development company Qvyon Technologies Inc. launched today with $8 million in total funding to help companies validate autonomous vehicles and robots before deployment.

MaC Venture Capital led the funding, with participation from BDC Capital, BKR Capital and Spotlight VP.

Physical AI is artificial intelligence that moves from digital brains to the real world, allowing smart machines to perceive, reason about and act within physical environments. This can include factory floors, retail shopping aisles, the kitchen or the roadway.

Before companies can deploy smart machines, such as robots or self-driving cars, into the real world, they must understand how these systems will operate under both normal and abnormal conditions. Reproducing strange, unlikely and dangerous conditions in the field is difficult and risky. For example, a car might suddenly pull in front of a truck during a rainstorm or a sensor array on a robot might become blocked or damaged while working on a production line.

To address these examples, Qvyon released Mimic Core, a platform that takes real-world sensor recordings into simulated environments to produce varied test scenarios, allowing developers and engineers to access data and test physical AI models and robotics setups in virtual environments without repeatedly collecting field data.

A single recording can allow an engineer to create many test variations to tease out where systems make mistakes. This allows development teams to catch problems before putting robots to work in the real world.

“We spent years building AI for vehicles and saw how hard it was to prove those systems were ready for the road,” said co-founder and Chief Executive Frantz Saintellemy. “Companies need to test what happens in their own vehicles and factories by using their own recordings.”

Qvyon’s system ingests camera, lidar and radar data. It uses this to reconstruct environments in 3D and time-sequence snapshots, capturing scenes and how they change over time. It uses this to generate challenging conditions to test AI models against the hardware they will drive in simulation. The platform produces traceable datasets and validation evidence that engineers can use to evaluate smart machines’ performance before deployment.

Mimic Core works alongside the same virtual testing tools that companies already use and helps them better understand the scenarios and conditions robots and smart machines will face.

The company offers the product as software-as-a-service and as a self-hosted solution for companies that want to keep everything in-house. Qvyon stressed that when using its cloud product, customer data is kept separate and is never used to train AI models for other customers.

Mimic Core is available today via Qvyon Cloud with a 14-day guided evaluation, or for companies to run on their own systems.

The company said the funding will support Mimic Core and its rollout through the United States, Europe and Japan. Qvyon is also developing Mimic Validation OS, planned for the first half of 2027, to help companies measure and document test results, and Mimic Learn, planned for late 2027, to help improve AI using information from machines already in operation.

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