Autonomous warehouse-scanning robots and real-time digital twin analytics
Dexory pairs autonomous robots with a cloud data platform that turns warehouse scans into a live digital twin. The stack spans C++ and Go on the robotics side, Databricks and dbt for analytics, and Vanta plus Drata for compliance, which points to a hardware company maturing its data and security functions. Hiring is accelerating and weighted toward senior and lead engineers, with in-house CNC manufacturing and a natural-language query layer in active development.
Notable leadership hires: Chief of Staff Lead, Sales Director, Accounting Lead
Dexory builds autonomous mobile robots and AI software for warehouse operators, delivered through its DexoryView platform. The robots collect inventory and operational data, and the platform converts it into a real-time digital twin for decision-making across warehouse teams. Founded in 2022 and headquartered in Wallingford, Oxfordshire, the company employs 201–500 people. It hires across the United Kingdom, the United States and Australia, with teams spanning engineering, operations, manufacturing, data, security and sales.
Dexory uses C++, Go, Python, TypeScript, React and Ruby on Rails, running on AWS with Kubernetes, Docker and Terraform. Its data and observability tooling includes Databricks, dbt, PostgreSQL, Datadog, Grafana and Prometheus.
Dexory is headquartered in Wallingford, Oxfordshire, United Kingdom. It also hires in the United States and Australia.
Dexory is building a data foundation, a natural-language query layer, a field engineer interface and a shared metrics definition. It is also developing a centralised security knowledge base and tool-life monitoring for production.
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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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.