Ingest.
Any source: documents, feeds, comms, databases, archives. Attribution-protected collection from the open internet where the mission calls for it.
Platform
Faster where it's routine, further where it counts. Cortex clears the repeatable work, reads everything at machine scale, automates research across open sources, and finds the insights no human would, delivered as analysis, reporting and live dashboards. On your infrastructure, inside your perimeter.
Natural language queries across the whole corpus. Entity profiles on the people, organisations, assets, and locations that matter to you. Network analysis showing relationships, influence, and exposure.
Alerts and monitoring with change detection on the entities and topics you track. Scheduled reporting with daily and weekly automated summaries.
Bespoke workflows your own analysts construct, from simple to multi-stage. A morning brief compiled from overnight reporting. A watchlist that flags when an entity's network changes. A due diligence pack assembled from filings, news and internal holdings.
Same platform, same questions in different clothes.
Any source: documents, feeds, comms, databases, archives. Attribution-protected collection from the open internet where the mission calls for it.
Semantic indexing across everything ingested. Entity extraction and resolution at scale.
Entities, relationships, locations, and time encoded as connected, queryable layers: knowledge graph, social graph, geospatial layer, temporal encoding.
Agents reason across all layers at once to analyse, answer, monitor, and act.
The current generation of analytical platforms began with an ontology: a fixed model of the world that every piece of data had to be mapped into before it became useful. That mapping is slow, expensive, and brittle. It hard-codes yesterday's assumptions, and when the operating picture changes, the model has to be rebuilt by hand.
Cortex takes the opposite approach. Data is ingested, embedded, and enriched with no preconceived world-view. Entities, relationships, and structure are derived from the data itself. The result stays semantically flexible: new sources, new entity types, and new questions are absorbed without re-engineering. The platform can answer questions no schema anticipated, because there is no schema standing in the way.
The capability on this page reaches users through three products, each built on the same platform and deployable at any posture.
Secure multi-model AI for everyday work across the organisation: chat, document intelligence, drafting and research, with audit and access controls throughout.
The full analytics capability described on this page: connected knowledge, agents, monitoring and workflows, built and operated by your own analysts.
The defence suite: the platform configured and hardened for classified environments and national security missions.
The platform runs the models your requirement calls for, frontier or open-weight, on infrastructure you approve, from accredited commercial cloud to air-gapped deployment on classified networks. It moves between deployment postures as requirements change.
The fastest way to understand the platform is to watch it answer the kinds of questions your team asks. We can walk you through the architecture and what deployment looks like in practice.
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