Dexory is a logistics intelligence company that builds autonomous warehouse-scanning robots and an AI-powered digital twin platform, DexoryView, to provide real-time visibility into inventory and warehouse operations.
Investment Rounds
Capital activity and funding progression
| Amount | Date | Round |
|---|---|---|
| £8.5 M | Mar, 2026 | series-c |
Frequently Asked Questions
Where is Dexory located?
Dexory is located in London, United Kingdom.
What industries does Dexory operate in?
Dexory operates in the following industries: logistics, robotics, artificial intelligence, supply chain, warehouse technology.
How much total funding has Dexory raised?
Dexory has raised a total of $8,500,000.
Who are the investors in Dexory?
The investors in Dexory are: British Business Bank, Atlantic Bridge, LTS Growth.
What core services does Dexory provide to the logistics industry?
Dexory combines autonomous robotics with a digital twin platform to provide real-time visibility and data-driven insights for warehouse management and inventory accuracy.
How does the DexoryView platform assist warehouse managers?
The platform creates a high-fidelity digital twin of the warehouse environment, allowing managers to track inventory levels, optimize space utilization, and identify operational bottlenecks in real time.
What makes Dexory autonomous robots unique for inventory tracking?
The robots are capable of scanning entire warehouses autonomously, reaching heights up to 12 meters to capture high-resolution imagery and data without requiring changes to existing infrastructure.
In what ways can Dexory help improve inventory accuracy?
By automating the stock-taking process, the technology reduces human error and provides constant updates on stock levels, ensuring that physical inventory matches digital records.
Does Dexory require significant infrastructure changes for implementation?
No, the solution is designed to integrate into existing warehouse workflows and layouts, utilizing autonomous navigation and cloud-based software to minimize setup complexity.