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Precisely enriches location aware AI
Global data integrity leader, Precisely launches a new API interface to enable AI applications to easily access and integrate trusted location intelligence tools and property, location, and consumer datasets with enterprise AI using natural language.
Built on the open-source Model Context Protocol (MCP) developed by Anthropic, Precisely’s MCP server makes it dramatically easier for enterprises to build spatially aware, data-driven AI solutions. This allow users to accelerate the development of a wide range of location-centric AI applications, including AI agents that automate: property risk assessments based on flood zones, wildfire exposure, crime rates, and proximity to emergency services; provides market expansion analysis to identify underserved areas based on service gaps and customer sentiment; and detect investment opportunities through spatial patterns in permits, infrastructure investments, and population migration.
“As organizations adopt AI across the enterprise, they need more than just models – they need high-quality data that’s easy to use,” explains Chris Hall, Chief Product Officer, Precisely. “That’s exactly what our MCP server delivers. It’s a game-changer for teams looking to experiment, prototype, and launch location-aware AI solutions that deliver competitive advantage and real business value – and location intelligence support is just the beginning for our MCP server. Additional capabilities and supported data are on the roadmap, bringing even more trusted context to enterprise AI.”
“By making location intelligence and high-integrity data accessible via natural language, the MCP server provides a simpler, more reliable way to give AI systems access to the data they need,” continues Hall. “This enhances model performance by improving contextual relevance, grounding outputs in real-world conditions, and enabling AI agents to retrieve more nuanced, domain-specific information. Whether assessing risk or exploring growth opportunities, enterprise teams can build AI applications that produce more accurate, explainable, and actionable results.”
Connecting Precisely’s location and data APIs to leading large language model (LLM) interfaces, including Claude Desktop, the MCP server enables technical and non-technical users alike to develop AI-powered solutions in hours, not weeks. This builds on Precisely’s vision for an open, interoperable AI ecosystem for data integrity.