Threatwhere was born from a simple idea — global risks move too fast for human-only workflows. We set out to build a platform that thinks, scans, and responds at machine speed — delivering operational intelligence when seconds matter.
Development begins on Threatwhere, shaped by years of experience in software engineering, global defence intelligence, and mission-critical systems. The team sets out to rethink how risk is detected and delivered — with speed, clarity, and trust at its core.
Over the year, the ingestion and enrichment engines take shape. The team builds and refines a system capable of transforming global event data into structured, enriched threat insights — integrating AI summarisation, translation, and contextual analysis into a seamless workflow.
Core components — including the interactive map, vector-based similarity engine, and smart alerting system — are integrated into a unified platform. Early pilots with security and humanitarian teams validate the speed, precision, and value of real-time enrichment.
After two years of focused development, Threatwhere 1.0 goes live. Designed for analysts, responders, and global risk teams, it delivers real-time threat detection, AI-driven analysis, and actionable insights — built to outpace risk in a faster, more complex world.
Threatwhere will introduce predictive threat modelling — combining historical data patterns with real-time intelligence to anticipate risk escalation before it happens. This shift from reactive to proactive intelligence will empower earlier, smarter decisions.
The roadmap includes autonomous AI agents capable of monitoring specific regions, actors, or threat types continuously — surfacing insights, generating reports, and recommending mitigation strategies with minimal human input.