Ingest.
Any source: documents, feeds, comms, databases, archives. Attribution-protected collection from the open internet where the mission calls for it.
The platform
Ask questions of everything you know.
Cortex turns an organisation's data, documents, feeds, comms, databases, and archives into connected knowledge your people can question in plain language, monitor continuously, and build on. On your infrastructure, inside your perimeter.
No fixed ontology.No forward-deployed engineers.No schema built on yesterday's assumptions.
What your people can do with it.
Ask and understand.
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.
SCREENSHOT: NATURAL LANGUAGE QUERY
Stay ahead.
Alerts and monitoring with change detection on the entities and topics you track. Scheduled reporting with daily and weekly automated summaries.
SCREENSHOT: ENTITY PROFILE AND ALERTS
Build and share.
Bespoke workflows your own analysts construct, from simple to multi-stage. Structured export straight into GIS, BI, and reporting tools.
SCREENSHOT: WORKFLOW BUILDER
Same platform, different missions.
- An intelligence analyst tracking a network.
- An investigator building a case.
- A financial crime team resolving entities across accounts, transactions, and filings.
- A policy unit monitoring a fast-moving situation.
- An operations team watching a supply chain.
- A leadership team asking questions of everything the organisation knows.
Same platform, same questions in different clothes.
How it works.
Sources
DocumentsFeedsCommsDatabasesArchivesIngestEmbed and enrich
Knowledge layers
Knowledge graphSocial graphGeospatial layerTemporal encodingAgents
AgentsQuery · InsightEmbed and enrich.
Semantic indexing across everything ingested. Entity extraction and resolution at scale.
Knowledge.
Entities, relationships, locations, and time encoded as connected, queryable layers: knowledge graph, social graph, geospatial layer, temporal encoding.
Agents.
Agents reason across all layers at once to analyse, answer, monitor, and act.
Structure from the data, not imposed on it.
The last 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.
Model agnostic. Infrastructure agnostic.
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 runs on any modern Kubernetes environment and moves between deployment postures as requirements change.
Deployment postures →See it on your questions.
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.
Contact us