Luxonis closes Series A round to scale physical AI perception layer - The Robot Report
Luxonis has raised funding to provide AI perception for a range of industrial use cases. Source: LuxonisIncreasing interest in physical AI is helping robotics component providers scale. Luxonis today said it. . .
Luxonis has raised funding to provide AI perception for a range of industrial use cases. Source: LuxonisIncreasing interest in physical AI is helping robotics component providers scale. Luxonis today said it has raised $14 million in Series A funding. The company said it plans to accelerate its commercial expansion, advance its product roadmap, and scale production of its OAK cameras to meet the growing demand. Founded in 2019, Luxonis said it brings artificial intelligence into the physical world by combining sensors, on-device computation, and open software into a single platform that simplifies roboticvision. Following a successful Kickstarter campaign, the Denver-basedcompanyhas grown to serve thousands of customers, includingFARM-ING, more than 60 Fortune 500 companies, and 17 of the Dow Jones 30. Luxonis said the investment will enable it to expand supply chain capacity and advance its OAK4 cloud perception ecosystem, which itlaunchedin December 2025. Submit your session idea for the 2026 RoboBusinessLuxonis advances OAK camera and DepthAI SDKLuxonis said it builds the perception layer that robots and automated systems need to operate in the real world. Its OAK devices combine multiple visionsensorsand on-device compute into a single unit. The company added that itsopen-sourcesoftware ecosystem lets developers use agenticAIto rapidly build and deploy automation for any use case that requires visual perception. Luxonis said its modularOAK4-CSsmart camera can be used for barcodeinspectionon conveyor lines, microscopes, and other industrial applications. Last month, the companyannouncedthat its cameras are officiallysupportedinNVIDIAIsaac Sim and that OAK4supportsUSB-C-only deployments as well as PoE+. Luxonis also provides the DepthAI software, which itupdatedin April. It said its open-source DepthAI SDK (software development kit) has reached 6 million downloads, providing robotics teams with leading depth perception and on-device AI. Luxonis provides the OAK cameras and DepthAI software for physical AI. Source: LuxonisFunding to enable global growth across marketsDenali Growth Partners led Luxonis’ Series A round, with participation from Taiwania Capital. “After more than seven years building Luxonis with the support of friends and family, we’re delighted to close our first institutional round and welcome Denali and Taiwania to our board,” stated Bradley Dillon, CEO of Luxonis. “They bring a wealth of experience that will help us accelerate our already rapid growth as we give machines the human perception they need to take on the world’s physical work. ”The company plans to expand R&D, go-to-market and engineering-support teams to work directly with more customers on production deployments. It is also planning to launch new devices at accessible price points and in flexible form factors for industries includingagriculture, advanced robotics,defense,industrial automation, heavy machinery,medtech, andwarehousing. “We are thrilled to support the Luxonis team as they continue to meet the perception needs of customers ranging from individuals to Fortune 500 companies, across a range of end markets,” said Alec Douglas, principal at Denali Growth Partners. Luxonis also said the new capital will support next-generation AI architectures, helping it maintain industry leadership in edge AI capability. The company, which has facilities worldwide, is designing its platform to be easy to adopt so that customers can move faster from prototype to production. “Luxonis is setting the global standard for physical AI by combining Central and Eastern Europe’s elite AI engineering and Taiwan’s robust manufacturing with a U. S. go-to-market engine,” noted Richard Wang, Taiwania Capital managing partner. “Taiwania Capital is proud to back a team that bridges these regional strengths to solve complex automation challenges for enterprises. ”