From individual travelers to enterprise platforms, GeoSure offers flexible plans that provide access to hyper-local safety intelligence through an AI-driven experience.
GeoSure’s Agent is designed specifically to deliver safety intelligence for real locations. By combining conversational AI with GeoSure’s hyper-local data, it helps users understand safety conditions in specific places — from cities and neighborhoods to streets and destinations.
Step 1 — Location-Specific Queries
Users ask questions about specific destinations, neighborhoods, or nearby areas.
Step 2 — Hyper-Local Intelligence
GeoSure analyzes safety data with neighborhood-level precision using global data sources and geospatial analysis.
Step 3 — Clear, Actionable Guidance
Safety insights are delivered in a conversational, easy-to-understand format.
GeoSure’s Agent helps individuals and organizations better understand safety conditions in the places that matter to them.
For Individuals & Travelers
For Teams & Organizations
What makes this "agentic"?
Traditional apps wait for you to ask. Agentic AI acts autonomously — monitoring, reasoning, and alerting you proactively. Your GeoSure agent watches places you care about 24/7 and surfaces insights before you even think to ask.
What models power the agent?
We orchestrate across OpenAI, Anthropic Claude, Google Gemini, and Deepseek. The agent runtime automatically routes each task to the optimal model — fast models for quick lookups, reasoning models for complex analysis. Higher tiers unlock more powerful models.
What is MCP and why does it matter?
MCP (Model Context Protocol) is the standard for connecting AI agents to external tools. Our MCP server lets Claude Desktop, custom agents, and any MCP-compatible assistant access GeoSure's real-time safety intelligence. Your agents can call our tools directly.
What is Chronicle?
Chronicle is our temporal intelligence layer. It tracks how safety conditions evolve over time — seasonal patterns, trend analysis, historical comparisons. Enterprise agents use Chronicle for predictive briefings and longitudinal risk assessment.
Can I bring my own AI provider?
Yes. If you have an enterprise agreement with Anthropic, OpenAI, or AWS Bedrock, you can run our agents using your own inference tokens. We provide the agentic intelligence layer — you control model costs and provider relationships.
How do agent limits work?
Each plan includes a quota of agent interactions, model calls, and monitored locations. We'll notify you as you approach limits — no surprise charges. Power users get the best value from higher tiers with expanded quotas and premium model access.
