Qvyon Technologies has emerged from stealth with $8 million in funding and has launched a platform designed to help companies test robots, autonomous vehicles, and industrial artificial intelligence systems before real-world deployment. MaC Venture Capital led the funding, with participation from BDC Capital, BKR Capital, and Spotlight VP. Qvyon plans to use the capital to expand across the U.S., Europe, and Japan and continue developing its MIMIC product portfolio.
MIMIC Core converts recordings from cameras and other sensors into virtual representations of real environments and events. Engineers can use one recording to generate numerous variations of a scenario, allowing them to evaluate how an AI system responds to unusual, dangerous, or costly situations.
Examples include a vehicle unexpectedly moving in front of an autonomous truck, an obstructed sensor, or a damaged component traveling through a factory production line. These events may be difficult to capture frequently enough in the real world to support comprehensive testing.
The platform works alongside existing simulation technology and maintains a connection between each generated test and its original recording. Qvyon says customer information is stored separately and is not used to train models for other customers.
NuPort Robotics is using the technology to expand testing for its autonomous trucks. Voltava is applying MIMIC to factory inspection systems, where inaccurate detection can cause acceptable components to be classified as defective and interrupt production.
MIMIC Core is available through Qvyon Cloud with a 14-day guided evaluation and can also be deployed within a customer’s own systems. Its Scenario Editor allows engineers to create and modify tests through visual controls or code.
Qvyon expects to release MIMIC Validation OS during the first half of 2027 to help customers measure and document test results. MIMIC Learn, planned for the end of 2027, is intended to improve AI systems using information collected from machines already in operation.
KEY QUOTES:
“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. We built Qvyon to make that testing easier while keeping their data private and secure.”
Frantz Saintellemy, Co-Founder and Chief Executive Officer of Qvyon Technologies
“Platform shifts get decided by the infrastructure underneath them, not by the models on top. Every company deploying AI into the physical world is about to hit the same wall, which is proving the thing works before it ships. Frantz and his team built what they wished they’d had when they were the ones trying to prove it. Whichever perception model wins, it will need what Qvyon is building.”
Marlon Nichols, Co-Founder and Managing General Partner at MaC Venture Capital
“We need to test far more situations than we can easily record at our sites. Qvyon helps us turn real-world recordings into millions of test variations. That reduces the time and cost of collecting more data and helps us prepare our trucks for wider use.”
Raghavender Sahdev, President and Chief Executive Officer of NuPort Robotics
