Get fast answers when every second counts — simply ask and receive live, actionable insights from the field.

SAR LLMs – Conversational Intelligence for Search and Rescue

In high-stakes emergency situations, speed, clarity, and communication are critical. Tiepoint’s SAR LLMs (Search and Rescue Large Language Models) provide a revolutionary way to interact with geospatial data, detections, and mission information — using natural language.

By layering our proprietary LLM interface on top of the Tiepoint TCI detection infrastructure, SAR LLMs allow operators and responders to ask questions and receive real-time answers about the mission area. The result is an intuitive tool that combines AI-powered detection with the ease of a conversation.

Built for Emergency Operations

In the chaos of a search and rescue mission, time is everything. SAR LLMs give operators, team leaders, and coordination units access to live operational intelligence without needing to manually search through dashboards, maps, or reports.

Whether the mission involves locating people, identifying dangerous terrain, or covering expansive search zones, SAR LLMs respond immediately to natural language queries like:

  • “Which areas have already been searched?”
  • “When was the last detection in sector Bravo?”
  • “Show me the latest tag for a human-shaped heat signature.”
  • “How many tagged objects are near the riverbed?”
  • “Are there any new observations in the forest perimeter in the last 10 minutes?”
  • “Summarize all detections of interest since 09:00.”

This natural language interface makes it possible for responders to interact with complex AI detection systems without needing technical training, enabling faster and smarter decision-making in the field.

Powered by Tiepoint TCI

SAR LLMs are built on the foundation of Tiepoint TCI — our Time Critical Intelligence platform. TCI enables real-time detection and classification of people, vehicles, terrain features, and materials, both from live drone feeds and edge-processed data. This detection layer is continuously updated, segmented, and spatially anchored.

The LLM connects directly to this live data stream and provides context-aware answers based on the latest information. This means users can ask not only where something is, but also when it was last seen, how it has moved, or what might be nearby — all without navigating menus or searching manually.

Designed for Field Use

The SAR LLM system is accessible through mobile devices, field tablets, or command center terminals. It supports speech-to-text interaction, enabling voice-based operation even in hands-busy scenarios. Whether coordinating from a mobile unit or walking a search grid, responders can stay informed without stopping their workflow.

Integration with mission planning tools, detection overlays, and timestamped event logs makes SAR LLMs a reliable companion for real-time operations and post-mission reviews.

Extendable to Your Mission Needs

While optimized for search and rescue, SAR LLMs can be adapted to suit a wide range of mission types and data sources. Custom prompts, user roles, and query types can be added to reflect your operational structure. Whether you’re tagging hazardous materials, tracking team locations, or managing equipment, the LLM can be tuned to your domain.

At Tiepoint, we work closely with emergency services, agencies, and infrastructure partners to ensure that the solution fits the real world — not just the lab.

Smarter Coordination. Faster Results.

SAR LLMs give search and rescue professionals the ability to interact with AI in the most intuitive way possible — by asking questions. No dashboards, no guesswork. Just insight, delivered instantly.

Contact Tiepoint to learn how SAR LLMs can accelerate your next mission.

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