Six newly built APIs on Orbis Maps, designed for API-first use and agent-based access.

Driving works best when the road feels predictable. When information is clear, updates are real time, and you do not have to second guess what is ahead.

We are witnessing a marked shift in AI usage from information retrieval to insight-driven intelligence, moving us from AI assistants to AI Agents deeply embedded in tech. Able to save time, operating costs and stress, it’s not surprising that tech innovators are increasingly looking beyond assistants towards intelligent agentic systems that support complex business decisions. MCP servers are foundational when it comes to connecting interfaces with data, but there is a need for a more structured toolkit with deeper workflow capabilities if we’re really going to enhance decision-making with AI. That’s why we’ve introduced the TomTom Agent Toolkit – now available through our Maps SDK.

Most MCP servers do things. They send emails, create files, hit APIs, return results. They're action-oriented, and that's fine for a lot of use cases, but less for heavy data and analytics.

Your map just learned to listen. From natural language, to geocoding, searching, routing, and rendering — no orchestration code required. We are introducing the Agent Toolkit in TomTom Maps SDK for JavaScript: the missing layer between natural language and a live, responsive map.

With the launch of NavSDK v2, TomTom’s latest navigation toolkit for Android, the company is directly addressing the modern pains of the industry making it easier for carmakers and developers to get full navigation experience up and running. Built on the idea of radical simplification, NavSDK v2 brings together everything that is needed to build turn-by-turn navigation through developer-friendly setup — reducing friction and speeding up the process.

Construction zones, congestion, severe weather — when road conditions change, so do speed restrictions. But with these temporary, time-critical and often impromptu adjustments making up over 10% of all speed limits, how do carmakers ensure that both drivers and automated driving systems receive the correct information? Enter Unified Speed Restrictions.

Every day, drivers help each other without even realizing it. Every journey, every alert and every shared update plays a part in making the road a safer place. At TomTom, we have been building our drivers’ community for the last 30 years, but lately we have taken things to the next level.

We launched the TomTom MCP Server to Public Preview in October to give AI agents direct access to our geospatial platform: search, routing, traffic, the works, all through the Model Context Protocol.

Driving today means processing a lot of information at once. Traffic changes quickly. Hazards appear without warning. Speed cameras, road works and sudden slowdowns can catch even experienced drivers off guard. Staying aware matters but so does staying focused.

The TomTom AI Agent is here. And while essential for bringing intelligent navigation into the vehicle, there’s far more to this solution than meets the eye. Built on a growing number of industry partnerships — most recently SoundHound AI, Amazon and Visteon — it’s the bridge between existing software stacks and new experiences, simplifying integration efforts so that carmakers can create seamless voice experiences quickly and cost effectively.

TomTom’s doing things a little differently at CES 2026. While you can still expect demos and beautiful maps, this time they’ll be organized into zones — an arrangement designed to give visitors a more intuitive understanding of TomTom tech and its many game-changing applications.

Almost 60% of the world’s population now lives in urban spaces. That puts pressure on city and state governments to keep these places livable, accessible and equipped to support billions of residents. To help make their task easier, TomTom recently launched Area Analytics — a tool that combines world-leading, on-ground traffic data with big-picture insights.

It’s 2025 and TomTom just released a new navigation app. The eponymous smartphone app uses TomTom’s latest products, NavSDK and Orbis Maps, to bring together the best of what the company has learned about navigation and maps over the past 30 years in a completely free, easy-to-use driver-centric app. But there’s more to it than that.

Today, TomTom announced a new product for the carmaking industry: Automotive Navigation Application. Designed for the burgeoning market of software-defined vehicles that are produced in ever-shorter time frames, the application promises to enable carmakers to go from drawing board to dashboard and build a fully functional and integrated navigation solution in a matter of weeks.

TomTom Orbis Maps is a game-changer, and now it comes in 3D. With greater likeness to the real world Orbis Maps offers enhanced safety and navigation by providing detailed road geometry and lane-level information. But with an ever-changing world, how can we keep up? TomTom builds its maps using machine learning and AI to automate map creation and updates, ensuring high precision and frequent refreshes. Based on multiple, diverse sources of data, they support autonomous driving and beyond, and can be tailored to specific customer needs. We spoke to the experts and took a deep dive into the technology, which is opening new possibilities.