Bringing TomTom’s Location Intelligence to Microsoft Fabric
TomTom (TOM2), the specialist in location technology, is expanding its collaboration with Microsoft to bring TomTom’s location intelligence to AI agents built on Microsoft Fabric and Microsoft Foundry through Microsoft’s new IQ Sharing preview.
By connecting TomTom’s location intelligence with Microsoft OneLake, Azure and Fabric customers can combine trusted geospatial context with their own enterprise data. This enables organizations to build AI-powered and agentic applications that understand not only business information, but also the real-world environments in which those businesses operate.
For enterprises, this can help AI agents make faster, more informed decisions by giving them a richer understanding of places, infrastructure, transportation networks and changing conditions.
Giving AI agents a view of the real world
AI agents are increasingly being used to answer questions, automate workflows and support complex business decisions. But when those decisions depend on location, traditional business data alone may not provide enough context.
Consider an organization trying to determine how goods move through a city, where transportation infrastructure is under pressure, or where operational risks are concentrated. An AI agent needs more than a map or a simple geographic coordinate to answer these questions effectively.
It needs to understand what a location represents, how roads and infrastructure connect, which regulations may apply, and how conditions can change over time.
This is where location intelligence becomes an important layer of enterprise AI.
Through IQ Sharing in Microsoft Fabric, TomTom makes its location intelligence available alongside customers’ own data in OneLake. This creates an opportunity to combine geographic context with operational, financial, customer and other enterprise information in a connected data environment.
Customers can then use this enriched data with Microsoft Foundry to develop AI agents and applications capable of reasoning about real-world conditions.
Rather than treating location as a standalone data point, organizations can incorporate it directly into their AI workflows.
From location data to location-aware intelligence
TomTom’s approach goes beyond simply providing geographic information. Its location intelligence is designed to help organizations understand relationships between places, networks and real-world conditions.
This distinction becomes increasingly important as enterprises move from traditional analytics toward AI agents that can interpret information and take action.
For example, an AI agent supporting logistics operations could combine a company’s delivery information with geographic context to better understand transportation networks. An infrastructure organization could use location intelligence alongside its own asset data to identify areas where infrastructure may experience increased pressure. Businesses operating across multiple locations could use the same contextual information to understand how geography influences operations.
By bringing these capabilities into the Microsoft ecosystem, TomTom aims to make location-aware reasoning accessible within the technology environments enterprises already use.
“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 & 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.”
Connecting location intelligence with enterprise data
One of the key advantages of the integration is the ability to bring TomTom’s location intelligence together with customers’ existing data in Microsoft OneLake.
Enterprise data is often distributed across different systems and formats. Business applications may contain information about customers, assets, transactions and operations, while geographic context exists separately.
Connecting these datasets can provide a more complete picture of the factors influencing a business decision.
Microsoft Fabric is designed to bring together data and analytics capabilities in a unified environment, while Microsoft Foundry provides tools for developing AI applications and agents. TomTom’s location intelligence adds another dimension: an understanding of the physical world in which business activity takes place.
“Microsoft Fabric and Foundry are designed to help customers unify data and turn insights into action, and TomTom’s location intelligence adds an important layer of context for understanding how real-world conditions can affect business operations,” said Dipti Borkar, Vice President, Microsoft IQ and OneLake at Microsoft. “With the latest integration via IQ Sharing, this context can now be seamlessly shared with our joint customers.”
Together, these technologies can help organizations build AI experiences that connect enterprise information with the geography, infrastructure and conditions surrounding their operations.
Built on open standards
TomTom’s location intelligence is built on Overture and open standards, supporting interoperability with compatible open datasets.
This approach is designed to make it easier for organizations to combine TomTom’s geographic information with other sources of data and develop applications around a shared understanding of the real world.
For enterprises, interoperability can be particularly important when building AI systems that rely on multiple data sources. Instead of keeping location information isolated, organizations can incorporate geographic context into broader data and AI workflows.
This can help create a more connected foundation for applications where location plays a critical role in decision-making.
Available through Microsoft Marketplace
TomTom’s location intelligence is now available through Microsoft Marketplace, giving Microsoft customers a familiar route to access and adopt the technology.
The offering is also Azure MACC eligible, allowing eligible Microsoft customers to use their existing Azure MACC agreements when adopting TomTom’s location intelligence.
This integration is designed to simplify access for organizations already operating within the Microsoft cloud ecosystem, while giving them the flexibility to incorporate location intelligence into their existing data and AI strategies.
Previewing IQ Sharing at FabCon Europe 2026
TomTom will showcase the preview of its IQ Sharing capabilities at FabCon Europe 2026 in Barcelona.
The demonstration will highlight how location intelligence, ontology and semantics can introduce real-world context into unified enterprise AI experiences across Microsoft platforms.
The demo will illustrate how geographic information can move beyond traditional mapping and visualization use cases to become part of the data foundation supporting AI-powered decision-making.
As enterprises increasingly deploy AI agents to automate tasks and support business processes, the ability to understand physical-world context is becoming an important part of building useful and reliable AI experiences.
Through its expanded collaboration with Microsoft, TomTom is bringing that context directly into the Microsoft data and AI ecosystem. By connecting location intelligence with enterprise data in OneLake and Microsoft Foundry, organizations can explore new ways to build AI agents that understand not only what is happening in their business, but also where, why and under what real-world conditions it is happening.
The result is a step toward AI systems that are more deeply connected to the physical world — helping enterprises turn location data into actionable, location-aware intelligence.
Source Link: https://www.tomtom.com/