Geo

Geo is an innovative platform designed to provide real-time geospatial intelligence to AI agents, transforming how autonomous systems interact with the physical world. By leveraging satellite imagery, weather patterns, and infrastructure changes, Geo offers a continuous world monitoring capability. Users can set up an agent once with a single natural language prompt to receive updates indefinitely, allowing AI agents to gain 'eyes on the entire planet' and make decisions based on verified ground truth.

How to use Geo

To use Geo, AI builders and developers integrate its API into their existing AI agents or systems. Users define monitoring parameters and locations using natural language prompts. For example, an agent can be instructed to 'Generate a report on road density changes around our site' or 'Watch for and describe any unauthorized vehicle activity at the depot.' Geo's agents, such as the flagship Terra, then continuously monitor the specified areas, process multi-source geospatial data, and return structured insights directly to the AI system, eliminating the need for complex GIS expertise.

Core Features of Geo

• One Prompt, Continuous Monitoring: Set up an agent once with a natural language prompt for 24/7, continuous global monitoring and real-time updates.
• Built for AI Agents: Features native MCP integration and is tool-calling ready, designed for seamless machine-to-machine intelligence workflows.
• Real-time Location Awareness: Provides ground truth from satellite imagery, weather patterns, and infrastructure changes for informed AI decisions.
• Secure AI in Production: Offers enterprise-grade infrastructure, SOC 2 compliance, and flexible deployment options (on your cloud or Geo's) to ensure data sovereignty.
• Generative Earth Intelligence (Terra Agent): A satellite vision-language specialist that takes prompts to deliver semantic insights, structured data, and anomaly detection.
• Natural Language Understanding: Translates plain English queries into actionable geospatial analysis.
• Advanced AI Processing: Includes query translation, synthetic signal intelligence, pattern recognition, computer vision models, geospatial reasoning, temporal analysis, change detection, and predictive analytics.
• Comprehensive Developer Resources: Provides API access, detailed documentation, and contributes to open-source projects like Memories.dev.

Use Cases for Geo

Geo is ideal for a wide range of enterprise applications requiring real-time geographical insights for AI systems. This includes autonomous workflow management, monitoring vast numbers of locations (e.g., 1000+ locations autonomously), and enhancing planetary awareness for AI agents. Specific examples include assessing flood risks around office buildings, monitoring environmental changes affecting supply chain facilities, analyzing road density shifts, tracking vegetation indices for agricultural or environmental projects, and detecting unauthorized vehicle activity at depots. It's a game-changer for any system that benefits from continuous, real-world geospatial data without human intervention.

Advantages of Geo

Geo offers significant advantages over traditional GIS systems, drastically reducing complexity, time, and cost. It boasts a setup time reduction of 99% (from 6-12 months to less than 1 hour), eliminates the need for GIS specialists by enabling natural language queries, and makes query complexity 10x easier with plain English. The time to insight is 1000x faster, providing answers in seconds rather than hours or days. Furthermore, the cost per analysis is reduced by 99% (from $500-5000 to $5-50). Its enterprise-grade security and native AI agent integration ensure reliable, secure, and efficient geospatial intelligence for modern AI deployments.