UVIONIX funding news – Bulgarian-based Robotics and Automation Company UVIONIX Secures $3.5 Million in Funding

It uses flying robots to improve warehouse inventory management and supply chain logistics. Their U-Vee robots use AI and deep learning to monitor inventory in real time and create digital copies of warehouses to track stock and detect theft.

It was founded by Bulgarian entrepreneur Boris Iskrev (CEO) and uses advanced aerospace technology to change how warehouses operate.

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By creating live digital copies of warehouse spaces, U-Vee robots remove the need for manual stock checks, cutting down on errors, costs, and improving logistics.

With this investment, it will speed up product development and expand into the US and Europe. The company is also working on partnerships with major logistics and retail companies to grow across different industries.

Raya Yunakova, investor at LAUNCHub Ventures said, "We believe Uvionix’s AI-driven approach is setting a new industry standard. Their technology has the potential to redefine supply chain efficiency and we’re excited to support their journey."

Boris Iskrev, CEO of Uvionix said, “This funding is a pivotal step toward realizing our vision of making supply chain management. Smarter, faster, and more transparent, We are grateful for the trust and support of our investors and excited to deliver a product that we believe will transform the way warehouses operate globally.”

Borgan Iordache, GP Underline Ventures said, “Logistics and warehousing are adopting new technology at a fast pace, due to AI developments, workforce shortages, and the continuous need for optimization. The Uvionix team can address these challenges by leveraging its entrepreneurial, and technical experience, and building a best-in-class product for its category.”

About UVIONIX

UVIONIX uses machine learning, AI, and autonomous robots to collect real-time data that helps improve warehouse inventory and supply chain management for businesses in different industries.

Inventory management often suffers from data errors, inefficiency, and manual work, costing companies billions of dollars each year.