Mireye Launches Geospatial Infrastructure for Physical-World AI Agents

Founder Ansh Chokshi has launched Mireye, a geospatial infrastructure platform designed to bridge the gap between digital AI agents and the physical world. The service provides a single API and Model Context Protocol (MCP) server that allows agents to access high-fidelity, provenance-tagged data for any location within the United States.

The platform integrates a wide array of datasets, including terrain, soil composition, land cover, and political boundaries. It specifically provides critical infrastructure and risk data, such as electric and gas networks, road layouts, building footprints, and flood or wildfire risk factors. To ensure reliability for autonomous decision-making, every data value returned by the API includes a source identifier, an upstream URL, the dataset vintage, a timestamp, and a confidence rating.

The Shift to Physical AI

As AI agents evolve from performing purely digital tasks to interacting with physical environments, the need for verifiable geographic data has intensified. Traditional mapping tools often lack the depth and transparency required for complex reasoning. Mireye positions itself as the infrastructure layer for this transition, moving beyond simple coordinates to provide deep, cited environmental and structural data. This allows agents to perform sophisticated analysis, such as assessing the fragility of cold-chain logistics or determining optimal site selection for data centers.

Industrial Implications

By standardizing geospatial data through a single API and MCP server, Mireye reduces the technical friction for developers building "Physical AI." The inclusion of built-in provenance is particularly critical for high-stakes industrial applications. In sectors such as energy grid planning or disaster risk management, the ability for an agent to verify the "why" behind a location-based decision can be the difference between a successful deployment and a costly failure.

What to Watch

Currently part of the Y Combinator S26 cohort, Mireye is focusing on the U.S. market. Future developments to watch include whether the platform expands its coverage to international coordinates and how it integrates with emerging agentic frameworks that rely on the Model Context Protocol to interact with external tools and data sources.