AI & Agents. Location intelligence that agents can find, use and trust.
AI models can’t guess whether your store is open today. That answer needs ground truth data. We connect agents to Google Maps Platform and to your own location services, so they answer from sources you trust.
The connections. How agents reach trusted location data.
Model Context Protocol
The open standard for connecting AI to tools and data. Make your existing web services usable by Claude, ChatGPT, Gemini and others.
Grounding with Google Maps
Answers anchored in Google Maps, with place detail and insights from reviews. Built for agents running on Gemini Enterprise.
Grounding Lite
Google’s MCP server for places, routes and weather. It works with Claude, Gemini and other models.
Google Maps AI Kit
Components that show an agent’s answer on an interactive map, inside the conversation.
Found by AI. Give agents the data they need to get your locations right.
Someone asks an assistant for the nearest branch. The answer needs accurate data.
Crawlable location pages and correct listings come first, and they feed AI answers on Google. An MCP endpoint then gives agents live detail, such as today’s opening hours.
What we build. Tools for agents, and agents for your teams.
MCP endpoints
We turn your existing web services into tools agents can use. You choose what’s exposed, and every request is logged.
Skills
Teach agents to run your workflows, with no AI model to train.
Agent deployments
One specified task, run on a set cadence, with findings your team can act on.
Agents on your data
Plain-language questions across your BigQuery database and Google’s Insights data.