{"slug": "qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments", "title": "Qvyon launches with $8M to improve safety for physical AI deployments", "summary": "Qvyon Technologies Inc. launched with $8 million in total funding, led by MaC Venture Capital with participation from BDC Capital, BKR Capital and Spotlight VP, to help companies validate autonomous vehicles and robots before deployment. The company released Mimic Core, a software-as-a-service and self-hosted platform that ingests camera, lidar and radar recordings to reconstruct environments in 3D and generate varied test scenarios in simulation, available now via Qvyon Cloud with a 14-day guided evaluation. Co-founder and Chief Executive Frantz Saintellemy said, \"We spent years building AI for vehicles and saw how hard it was to prove those systems were ready for the road,\" and Qvyon said the funding will support rollout through the United States, Europe and Japan, with Mimic Validation OS planned for the first half of 2027 and Mimic Learn for late 2027.", "body_md": "### Qvyon launches with $8M to improve safety for physical AI deployments\n\nPhysical AI validation infrastructure and software development company [Qvyon Technologies Inc.](https://qvyon.com/) launched today with $8 million in total funding to help companies validate autonomous vehicles and robots before deployment.\n\nMaC Venture Capital led the funding, with participation from BDC Capital, BKR Capital and Spotlight VP.\n\n[Physical AI](https://siliconangle.com/2025/12/28/beyond-automation-physical-ai-ushers-new-era-smart-machines/) 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.\n\nBefore 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.\n\nTo 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.\n\nA 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.\n\n“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.”\n\nQvyon’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.\n\nMimic 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.\n\nThe 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.\n\nMimic Core is available today via Qvyon Cloud with a 14-day guided evaluation, or for companies to run on their own systems.\n\nThe 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.\n\n##### Image: [Pixabay](https://pixabay.com/photos/robot-robotic-arm-automation-10172912/)\n\n# A message from John Furrier, co-founder of SiliconANGLE:\n\nSupport our mission to keep content open and free by engaging with theCUBE community. **Join theCUBE’s Alumni Trust Network**, where technology leaders connect, share intelligence and create opportunities.\n\n- **15M+ viewers of theCUBE videos** , powering conversations across AI, cloud, cybersecurity and more\n- **11.4k+ theCUBE alumni** — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network\n\n### Are you an AWS customer?  Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: [https://siliconangle.com/aws-marketplace/](https://siliconangle.com/aws-marketplace/)\n\n##### **About SiliconANGLE Media**\n\n[SiliconANGLE](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fsiliconangle.com%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=SiliconANGLE&index=9&md5=646b1b564e2259100a2b8638aab0a552),\n\n[theCUBE Network](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.thecube.net%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=theCUBE+Network&index=10&md5=7de2a85f95ab4a4a495cede20b8cb1da),\n\n[theCUBE Research](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fthecuberesearch.com%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=theCUBE+Research&index=11&md5=7bb33676722925eb57d588ec343e4f6f),\n\n[CUBE365](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.cube365.net%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=CUBE365&index=12&md5=d310fb35919714e66ad8d42c9c0c1bc6),\n\n[theCUBE AI](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.thecubeai.com%2F&esheet=54119777&newsitemid=20240910506833&lan=en-US&anchor=theCUBE+AI&index=13&md5=b8b98472f8071b23ebb10ab9a8dd0683)and theCUBE SuperStudios — with flagship locations in Silicon Valley and the New York Stock Exchange — SiliconANGLE Media operates at the intersection of media, technology and AI.\n\nFounded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.", "url": "https://wpnews.pro/news/qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments", "canonical_source": "https://siliconangle.com/2026/11/12/qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments/", "published_at": "2026-11-12 14:00:18+00:00", "updated_at": "2026-11-12 14:26:20.437620+00:00", "lang": "en", "topics": ["artificial-intelligence", "robotics", "autonomous-vehicles", "ai-startups", "ai-safety"], "entities": ["Qvyon Technologies Inc.", "Mimic Core", "MaC Venture Capital", "BDC Capital", "BKR Capital", "Spotlight VP", "Frantz Saintellemy", "Mimic Validation OS"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments", "markdown": "https://wpnews.pro/news/qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments.md", "text": "https://wpnews.pro/news/qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments.txt", "jsonld": "https://wpnews.pro/news/qvyon-launches-with-8m-to-improve-safety-for-physical-ai-deployments.jsonld"}}