See what changed. Understand what supports it. Know what to watch next.

DAGR turns public information into reviewed intelligence for mission teams.

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Built to verify
before it briefs

Automated research and verification. Analyst-led interpretation and decisions.

How evidence is handled →

Abstract example schematic, not operational data. Scattered observations are collected; changed observations are detected against baselines; related observations are correlated into supporting evidence; a traceable assessment cue is developed; watch conditions are defined; and findings are verified against their sources, then briefed or integrated.
  1. Observations
  2. Detect change
  3. Correlate evidence
  4. Assessment cue
  5. Watch condition
  6. Verify claims
  7. Brief or integrate to your agents via MCP

Real events.
Reviewed evidence.

  1. 01 · DetectUkraine / Russia

    Ukraine fires 1,000+ drones at Russia

    A huge event generates multiple secondary signals across sensors.

    ▲ 20 SEP z 9.5 · 3.7× norm

    View the case →

  2. 02 · CorrelateRed Sea

    Houthis seize Perim Island at the mouth of Bab el-Mandeb

    Territorial control doesn’t automatically equal chokepoint closure.

    ▲ 10 SEP z 15.2 · 15.4× norm

    View the case →

  3. 03 · QuestionKorean Peninsula

    North Korea launches missiles despite de-escalation signals

    Diplomatic messaging and actual behavior diverge.

    ▲ 20 SEP z 22.9 · 6.5× norm

    View the case →

The values we build on

  • Evidence over assumption
  • Clarity under pressure
  • Human accountability
  • Speed with discipline

Selected, certified,
veteran-owned

  • Agentic AI 26-2 Participant

  • NASA SEWP Via Carahsoft

  • Academic Advisory

  • Member

  • Program Member

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  • JIFX 26-2 Participant

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