The inventory truth that runs your business is scattered across disconnected ERPs, depots and spreadsheets — and trusted by none of them. We capture it, normalise it into one Standard Inventory Model, and build AI that turns raw records into decisions.
Connects to the systems your business already runs
For decades we've computerised stock records brilliantly — in isolation. The single, reconciled picture of what you actually hold, where, and under which name has never lived in one system. Until now.
ERPs, legacy systems, depot databases and supplier feeds. Getting inventory data into a form AI can use — securely, in real time, with a shared definition of a "part" — is where most projects die.
The same item carries five part numbers across five systems. Units, currencies and classifications drift. What is written down is scattered, duplicated and stale.
We solve both. One Standard Inventory Model — queryable, reconciled, and built to get smarter through use.
Everything sits on a single inventory layer. Structured records answer what you hold. The model and its agents answer where, under which name, and what to do next.
Real-time operational inventory, a semantic layer LLMs understand, and sub-second queries with row-level security — across every ERP and depot.
Explore the Data Platform →stock.on_hand_q312msparts.duplicate_map18msdepots.midlands.reorder9msA model that improves the more your business runs on it. Specialised agents capture how your teams reconcile stock, then apply that judgement automatically — and explain every decision they make.
Pre-built connectors for SAP, Oracle, Dynamics, NetSuite and Infor. Live or batch.
Agents cleanse, dedupe and map every record into one canonical structure.
A single, trusted model spanning every system, depot and region.
Explainable insight flows back into your ERP, agents and BI tools.
Data infrastructure since 2003. AI systems since 2022. We don't experiment — we build with AI every day, in production, and help you put a trusted inventory model at the centre of your business.
"We had five ERPs from a decade of acquisitions and no single view of stock. inmydata gave us one trustworthy Standard Inventory Model in under a quarter — every team finally works from the same numbers."
Whether you've a clear project in mind or you're exploring where a Standard Inventory Model fits, we're happy to talk. No pitch decks, no pressure.