Autonomous warehouse robots with real-time digital twin platform
Dexory builds autonomous robots and AI logistics software for warehouse operations, with a platform (DexoryView) that collects sensor data and constructs digital twins. The tech stack reveals a robotics-native architecture: ROS 2, C++, LiDAR, OpenCV, TensorFlow—paired with web services (React, TypeScript, WebRTC) and infrastructure-as-code (Terraform). Engineering dominance in hiring (53 of 80 roles) and active projects around robot telemetry modeling, connectivity automation, and data pipelines indicate the company is scaling both hardware reliability and the software layers that extract insights from fleet operations.
Notable leadership hires: Sales Director, Service Lead
Dexory develops autonomous mobile robots and cloud software designed to automate data collection across warehouse facilities. The DexoryView platform ingests sensor telemetry from robots and builds real-time digital twins that surface operational insights to warehouse staff at all levels. Founded in 2022, the company operates from Wallingford, Oxfordshire, and is actively expanding in the United States, United Kingdom, and Australia. Current pain points—quality and reliability of robotics products, integrating diverse warehouse management systems, and scaling connectivity observability—map directly to active engineering work on telemetry data structures, fleet automation, and observability platforms.
Robotics foundations: ROS 2, C++, LiDAR, OpenCV. AI/ML: TensorFlow, PyTorch. Backend: PostgreSQL, Ruby on Rails, Go. Frontend: React, TypeScript. Infrastructure: Docker, Terraform. DevOps and comms: gRPC, WebRTC, WebSockets.
Core projects: data pipelines, infrastructure-as-code, robot telemetry data modeling, connectivity observability platform, mesh VPN automation, and client onboarding. Parallel focus on compliance programme development and internal tooling to support high-velocity deployment.
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Dexory's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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