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Gov AI

All-source intelligence fusion on one governed entity model

Dark Pools Gov AI fuses every collection discipline into one intelligence picture that analysts and commanders can act on. Open-source, social media, messaging, broadcast, geospatial, financial, human and signals-derived reporting land in a single signal store, resolve to the same people, organizations, places and events, and keep their provenance from collection to finished product. No single source defines the platform; its output is the fused, decision-ready picture.

See how it works
One signal store forevery laneOne ontology, oneentity storeNarratives, triggersand briefsEnrichment on arrivalEntity resolution witha human gateProvenance on everyrecordIntelligencefusionPART OF THE GOV AI PLATFORM
Capabilities

What intelligence fusion gives your team

One signal store for every lane

Every collection lane writes into one signal store as it collects: social searches, standing watches, subject tracking, messaging channels, press and web sources, broadcast transcripts, research citations, exposure checks and the security telemetry of the estate you protect. A standing sweep guarantees that nothing a lane collected is skipped.

  • Social, messaging, press, broadcast and research lanes
  • Cyber telemetry and exposure monitoring
  • Repeat collections of one post counted once

Enrichment on arrival

Each signal is enriched as it lands. Its author resolves to an entity, place names are matched against a shared gazetteer, sentiment is scored, watch and keyword terms are matched, relevance to the declared mandate is banded and corroboration across lanes is recorded. Risk is broken into the factors that produced it, so an analyst can see why a signal ranks where it does.

One ontology, one entity store

People, organizations, accounts, devices, places, documents and events share one governed object model. Administrators declare object and link types, see how each is used in live data, and decide which governed actions, such as linking to a case, changing a risk band or proposing a merge, need a second person.

Entity resolution with a human gate

A standing scan proposes pairs of records that probably describe the same real-world subject. The analyst sees why they matched, the source grade of each record, a writing-style comparison and a dry run of exactly what a merge would move, then rules on the pair. Every merge is kept in a ledger and can be reversed.

Narratives, triggers and briefs

Signals cluster into narratives that run across lanes, with their growth tracked over time. Standing triggers fire on named conditions: a protected person named alongside hostile language, a narrative accelerating, several lanes reporting the same place within the hour, a new actor entering a watched conversation. Situation briefs summarize the picture for a shift or a principal.

Provenance on every record

Any record can be walked back to the post, page, report or model call it came from, and forward to every assessment and product built on it. Assertions keep their type, so a verified fact, a source statement, an analyst judgment and a model inference are never presented as the same thing.

How it works

From collection to decision

  1. 01Set requirementsCollection plans tie each lane to the question it is meant to answer and record the legal basis it runs under.
  2. 02CollectOpen-source, social, messaging, broadcast, field and partner reporting flow into one signal store as it arrives.
  3. 03EnrichAuthors, places, terms, sentiment, mandate relevance and cross-lane corroboration are added to every signal.
  4. 04ResolveMentions of the same person, organization or place resolve to one governed entity, with merges approved by a person.
  5. 05Fuse and warnNarratives, convergence and triggers raise explained alerts in the inbox where analysts triage them.
  6. 06ProduceFindings become assessments, briefs, cases and classification-marked reports that walk back to their sources.
In the field

Where it is used

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