StrataSense
Fuses language models, knowledge graphs and retrieval to turn unstructured reporting — news, OSINT, sensor and open-source feeds — into decision briefs in which every conclusion carries a citation back to the passage it came from.
Purpose
StrataSense addresses the distance between holding information and being able to act on it. It runs a three-stage pipeline: continuous ingestion of unstructured sources into a structured, queryable form; synthesis across entities, timelines and domains through a knowledge graph combined with language-model reasoning; and delivery as decision briefs, alerts or API output. It is built to surface weak signals — emerging and disruptive technologies — before they reach mainstream reporting.
Who it is for
Analysts, crisis-management bodies, and procurement or investment teams that have to form a view on an emerging technology or an unfolding situation faster than the reporting cycle allows, and then have to show where that view came from.
What it produces
Decision briefs, intelligence summaries and threat assessments, each traceable to its source passages, delivered through an analyst dashboard or a programmatic API that can feed command-and-control, GIS, BI or SIEM systems. On-premises, private-cloud and hybrid deployment are offered.
Method note
StrataSense is a commercial product of Deep Sentrics, whose founder and chief executive, Martin Stamenov, is CORE's Technology and Systems Lead. CORE lists it because it is the kind of instrument the information dominance theme describes — not because CORE built it, and not because CORE earns from it. Performance and deployment claims are the vendor's own and should be evaluated as you would any supplier's.