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AI-powered mission intelligence at scale

Unify structured, unstructured, geospatial, time-series, and semantic data for operational efficiency, secure intelligence processing, and real-time situational awareness.

CAPABILITIES

Mission-critical advantages

SurrealDB capabilities engineered for secure, air-gapped, and high-assurance environments.

Built in Rust for maximum security

A memory-safe systems language trusted by security-critical industries. High concurrency, zero-cost abstractions, and zero tolerance for memory-based vulnerabilities.

AI-optimised knowledge graphs

Model dynamic, multi-domain operational environments from force structures and sensor grids to supply chains and threat actor networks.

Vector + semantic search for intelligence

Hybrid search combining vector similarity, semantic embeddings, and graph traversal over field reports, geospatial data, SIGINT, and OSINT.

Real-time and historical telemetry

Monitor battlefield telemetry, cyber activity, or flight data with native time-series capabilities for both real-time alerting and historical reconstruction.

SEE IT IN ACTION

Fuse sensor data with geospatial queries

Combine real-time sensor feeds with geospatial lookups to build unified situational awareness.

1-- Find latest five assets within 50km of a point of interest
2-- and join with their latest telemetry data
3SELECT
4 id,
5 type,
6 position,
7 ->(SELECT * FROM telemetry ORDER BY timestamp DESC LIMIT 5).{
8 id,
9 timestamp,
10 asset: out
11 } AS latest
12 FROM asset
13 WHERE geo::distance(position, (-77.0369, 38.9072)) < 50000;

USE CASES

Core use cases for defence and aerospace

How defence and aerospace organisations apply SurrealDB to mission-critical systems.

Proactive cybersecurity and threat detection

Graph analytics and time-series data to detect anomalous network activity, map threat actor infrastructure, and uncover lateral movement.

Sensor fusion and tactical intelligence

Combine data from radar, LIDAR, satellite, and UAVs into a live digital twin of the operating environment. Asset relationships, geospatial state, time-series telemetry, and semantic search over reports sit in one engine for rapid response and forensic review.

Mission planning and route optimisation

Deploy ML models directly on native vector database to optimise supply chains, flight paths, or ground operations in real time.

Geospatial targeting and reconnaissance

Geospatial support for all GeoJSON types such as polygons and coordinates, with built-in spatial queries for real-time situational awareness.

Anomaly detection in maintenance data

Analyse time-series telemetry from aircraft, vehicles, or satellites for predictive maintenance and mission readiness.

Platform and fleet digital twins

Model aircraft, vehicles, and platforms as living graphs of components, suppliers, sortie history, and maintenance records. Combine engineering documents, telemetry, and sensor data in one engine, with versioned-record queries for mission review and red-team reconstruction.

Learn more

Operational intelligence dashboards

Secure, real-time dashboards for commanders and analysts with horizontal scalability and web-ready deployment via WebAssembly.

WHY SURREALDB

Why decision makers choose SurrealDB

The technical and operational advantages that set SurrealDB apart in defence and aerospace.

FREQUENTLY ASKED QUESTIONS

Defence and aerospace

GET STARTED

Start building with SurrealDB

The context layer for AI agents. Unify data. Unlock intelligence. Scale anywhere.

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SurrealDB

The context layer for AI agents.

Documents, graphs, vectors, time-series, and memory.
One transaction, one query, one deployment.

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Stay in the loop

Tutorials, AI agent recipes, and product updates, every two weeks.

Independently verified

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Cyber Essentials Plus

ISO 27001

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