Geotab launches AI connector for fleet data access

Geotab has launched a Model Context Protocol connector that links its fleet data platform with artificial intelligence tools including ChatGPT, Claude and Microsoft Copilot. The connector gives approved AI platforms secure access to live data from Geotab's MyGeotab system and Ace platform.

The move opens Geotab's connected vehicle data to a wider range of external AI services through the Model Context Protocol, an open standard that allows software tools to share context and actions across systems. Users can ask questions in plain language and carry out tasks such as creating alerts, scheduling maintenance and generating reports without leaving the AI applications they already use.

The launch marks a broader push by the telematics group to make its data layer available inside third-party AI environments rather than confining customers to a single toolset. That matters for fleet operators, which often hold vehicle, maintenance and driver information in different systems and want to use AI without moving away from established security and governance controls.

Geotab processes about 37 trillion data points a year from more than 6 million connected vehicles across 160 countries. Its systems also handle about 100 billion data points a day, making its database one of the larger pools of connected vehicle information available for commercial fleet use.

The data includes information on engine health, driver behaviour, fuel use, route efficiency, asset utilisation, maintenance needs and safety risks. By exposing that information through the new connector, Geotab aims to let fleet operators use operational data inside general-purpose AI tools already approved by their organisations.

Mike Branch, Vice President of Data and Analytics, said the quality of underlying information would determine whether AI systems were useful in day-to-day operations.

“High quality data and information is essential for AI solutions to have a measurable impact on business operations,” said Mike Branch, Vice President of Data and Analytics at Geotab. “Geotab has one of the world's largest and cleanest fleet datasets, built over more than 25 years. Our trusted data intelligence layer is what fleets need to make better decisions, and the value of those decisions depends on access to accurate, timely and relevant operational data. That's where Geotab's scale and data foundation create a distinct advantage.”

Open standard

Unlike AI products tied to a single vendor, the connector is built around an open protocol that allows customers to choose their preferred AI platform. That means organisations using ChatGPT, Claude, Copilot or other compatible services can connect through internal environments that have already passed their own approval processes.

This approach is intended to let customers keep control over privacy, security and data governance policies while using AI tools to query fleet data and automate routine work. For large transport groups and logistics operators, those controls are often central to any decision to link operational systems with external software.

Branch said customers wanted more than a conversational interface layered on top of fleet records.

“Our customers are looking for ways to bring trusted fleet intelligence into the workflows they already use - and not just to answer questions, but to get things done,” said Branch. “MCP gives them that flexibility while allowing them to maintain control over their data, AI strategy and operational processes.”

Customer use

One early user cited by Geotab was Central Transport, which has integrated the connector with Anthropic's Claude model. According to Geotab, the set-up reduced manual analysis work and gave managers faster access to reporting from fleet data.

“By integrating the Geotab MCP connector with Claude, we transformed complex fleet data into real-time, actionable intelligence, replacing weeks of manual analysis with instant, high-depth reporting,” said Jon Hanvey, Director of Tractor Maintenance at Central Transport. “This partnership has evolved Geotab from a system we query into a system we 'think with,' giving us a competitive advantage that empowers our managers to make faster, more confident decisions at scale.”

Geotab serves more than 100,000 customers, ranging from smaller fleets to large companies and public sector bodies. Its latest product places the group among transport technology providers trying to connect industry-specific operational data with mainstream AI tools, as businesses look for ways to turn large data stores into routine actions rather than standalone analysis.