TomTom Brings Location Intelligence to Microsoft Fabric: AI Agents That Understand the Real World
TomTom's location intelligence now flows into AI agents built on Microsoft Fabric and Foundry, giving enterprise agents real-world context for better decisions.
The headline
TomTom announced on September 30 that it has expanded its collaboration with Microsoft, bringing its location intelligence to AI agents built on Microsoft Fabric and Microsoft Foundry through Microsoft's new IQ Sharing preview. With data connected to OneLake, Azure and Fabric customers can build agentic products that understand real-world context — not just maps, but what a place represents, how roads, regulations, and risks relate to each other, and how conditions change over time.
TomTom's location intelligence is now available on Microsoft Marketplace and is Azure MACC eligible, so customers can adopt it through their existing Azure consumption agreements. TomTom will showcase the IQ Sharing preview at FabCon Europe 2026 in Barcelona.
Why agents need geography
AI agents answering location-related questions — how goods move, where infrastructure is under pressure, where risk is concentrated — need more than map tiles and APIs. "AI agents will only be useful to enterprises if they can understand the real-world context behind business decisions," said Leo Sei, SVP for Product, UX and Marketing at TomTom. "We enable customers to move beyond location data to location-aware reasoning, giving AI systems trusted geospatial context to make better decisions, automate workflows, and respond with confidence."
The architecture matters: TomTom's data flows through IQ Sharing into OneLake, where customers combine it with their own operational data, then connect the enriched dataset to Microsoft Foundry for agent building. It is built on Overture and open standards, so it interoperates with compatible open datasets. Microsoft's Dipti Borkar, VP of Microsoft IQ and OneLake, framed it as an important layer of context for understanding how real-world conditions affect business operations.
The bigger pattern: context layers for agents
This announcement sits inside a larger trend: enterprise agents are only as good as the context they can reach. Microsoft's Work IQ grounds agents in Dynamics 365 and Power Platform data; TomTom now adds the physical world on top. Each new context layer — business data, location, compliance rules, real-time operations — multiplies what agents can do unsupervised.
Vendors are racing to become the default context layer for their domain, distributed through the platforms enterprises already buy from. TomTom chose Microsoft's marketplace and MACC eligibility deliberately: procurement friction kills adoption, and riding the Azure bill removes it.
What this means for your business
If your operations touch the physical world — logistics, field service, retail footprint, construction, insurance, real estate — your AI agents are currently flying half-blind. Adding trusted geospatial context turns a generic agent into one that can reason about routes, site risk, service territories, and local conditions. That is the difference between an agent that drafts a delivery plan and one that knows which roads flood in October.
The practical takeaway: when scoping any agent project, list the context layers it needs beyond your internal data. Location, regulation, and real-time conditions are the three most commonly missing — and the ones most likely to cause an embarrassing failure in production.
What to do next
If you're on Microsoft Fabric, evaluate the IQ Sharing preview against one location-dependent workflow — route planning, territory assignment, or site selection. Run your current process and the location-enriched agent side by side for two weeks and compare decision quality, not just speed. The win is better decisions, which is harder to measure but worth far more.