Dexory builds autonomous robotics systems and AI-driven software infrastructure for warehouse operations, centered on its DexoryView digital twin platform that provides real-time visibility into logistics environments. The company combines autonomous mobile robots with machine learning algorithms to capture and process operational data, creating synchronized digital representations of physical warehouse facilities. This approach targets the core challenge of inventory accuracy and operational visibility in large-scale distribution centers.
The technical architecture spans three integrated components: autonomous robots that navigate warehouse environments to collect data, AI algorithms that process sensor inputs and generate actionable intelligence, and the digital twin platform that maintains a continuously updated model of warehouse state. The autonomous systems operate within the constraints of dynamic warehouse environments - handling variable lighting conditions, mixed SKU types, and integration with existing warehouse management systems.
Founded by three engineers with backgrounds in robotics and data systems, the company has expanded from 15 to 80 employees in just over a year, drawing technical talent from automotive engineering programs including Formula 1, as well as technology organizations such as Google, IBM, and Jaguar. CEO Andrei Danescu leads the UK-headquartered operation, which deploys systems for warehouse and logistics customers internationally. The engineering organization emphasizes autonomy and collaborative problem-solving, structured to support rapid iteration on both hardware platforms and software infrastructure as the technology scales across deployment sites.