LuminX raises USD $5.5 million to advance AI for warehouses

LuminX has secured seed funding of USD $5.5 million to further develop and deploy vision language models for warehouse and supply chain operations.

The funding round drew the backing of several investors, including 1Sharpe, GTMFund, 9Yards, Chingona Ventures, and the Bond Fund. Their investment will support LuminX's commitment to improving efficiency and reducing operational errors across the logistics and warehousing sectors.

LuminX aims to address longstanding inefficiencies in supply chain and warehouse management that often result in operational errors and increased costs. Its technology focuses on deploying vision language models (VLMs) directly onto mobile hardware in warehouse environments, which the company says can make advanced AI more accessible and practical for diverse operations in the sector.

The company's systems use a combination of visual understanding and generative AI capabilities to allow cameras to interpret complex, dynamic warehouse environments in real time. These devices can be installed throughout warehouse settings, including docks, conveyors, forklifts, or used as handheld units. According to LuminX, the system processes visual data to automate operational tasks, reduce the need for manual labour, minimise discrepancies, and optimise workflow.

LuminX's leadership team is headed by Founder and Chief Executive Alex Kaveh Senemar, who previously established Voxel, an AI company focusing on warehouse safety and operations, and Sherbit, which was acquired by Huma in 2019. He is joined by Co-founder and Chief Technology Officer Reza (Mamrez) Javanmardi, who holds a PhD in Computer Science and previously served as Head of AI Research at Voxel. The broader LuminX team comprises specialists in AI, specifically in vision language models, computer vision, and robotics, with many staff connected to research institutions such as Carnegie Mellon University.

"This pivotal funding allows us to scale our next-generation AI models, transforming how warehouses operate. Our edge based vision language models represent a massive step forward, acting as an intelligent core for warehouse operations. They deliver new levels of automation and insight, helping to turn previously opaque processes into transparent highly efficient systems," said Alex Kaveh Senemar.

Early users of LuminX's technology include Vertical Cold Storage.

"LuminX's technology is set to revolutionise our warehouse productivity and operations. It's allowing us to automate critical tasks, significantly enhance quality, and reduce claims." He continued, "In my entire career, I have yet to encounter a product that so effectively improves efficiency while simultaneously boosting quality and reliability," Robert Bascom, Chief Operating Officer of Vertical Cold Storage, said, describing the impact on the company's workflow.

"Edge-deployed vision-language models are breaking the two toughest bottlenecks in logistics—labour scarcity and data blindness. By turning a low-cost camera into a perceptive co-worker that sees, understands, and acts in real time, LuminX is unlocking a step-change in operational intelligence and efficiency for every pallet, conveyer, and forklift," Kat Collins, a representative of 1Sharpe Capital, commented on the significance of LuminX's approach in the warehouse environment.

The company intends to invest the newly secured funds to advance its core research and development in vision language models for logistics. Additional areas for investment include optimising these models for edge deployment, expanding the engineering team, and scaling its go-to-market activities in the logistics AI sector.