Sovereign infrastructure for AI-driven intelligence work.

Run AI-assisted intelligence operations on-prem, airgapped or sovereign-cloud - with evidence trail, human approval and controlled agents.

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Partner

Carahsoft
Microsoft
Fivecast
CyberLab
USFCR
Carahsoft
Microsoft
Fivecast
CyberLab
USFCR
Carahsoft
Microsoft
Fivecast
CyberLab
USFCR

What we do differently

Three shifts in how intelligence work runs

Arqent is not another dashboard. It changes where the work runs, how agents are controlled and how evidence survives the workflow.

Sovereign deployment topology for Arqent
01

RUN

Sovereignty

Run intelligence workflows where the data boundary requires: cloud, sovereign cloud, on-prem, airgapped or edge.

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Governed capability router for agent execution
02

CONTROL

Governed Agents

Route every agent request through policy, approvals and execution logs before tools touch sensitive workflows.

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Evidence-native case workflow in Arqent
03

PRESERVE

Evidence-Native

Keep sources, files, tool calls, findings, reviewer decisions and briefings attached to the case record.

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For whom

Built around the pain of high-stakes teams

The same fabric adapts to different mission contexts without forcing teams back into screenshots, exports and disconnected notes.

Urban law enforcement environment
01

FRAGMENTED LEADS

Government investigations

Leads live across sources, files and tools; the case needs one defensible record before it becomes a report.

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Electrical substation behind a perimeter fence
02

NOISY INCIDENT CONTEXT

Critical infrastructure

Facilities, assets, incidents and weak signals need one operating picture before noise turns into missed context.

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Street protest and activist mobilization
03

FAST-MOVING THREATS

Corporate security

Threat signals, public activity and internal context move faster than static reports and disconnected monitoring tools.

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Cash wallet and financial documents under review
04

REVIEWABLE TRIAGE

Financial crime and fraud

Suspicious signals need enrichment, confidence, reviewer decisions and evidence continuity before escalation.

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Trust model

Claim discipline is part of the product

Arqent separates what the platform is designed for, what it supports in the workflow and what every output can show back to the reviewer.

Designed for

Regulated intelligence teams that need sovereign deployment choices and controlled agentic execution.

  • Cloud to airgap patterns
  • Human approval paths
  • Case-bound work

Supports

Operational workflows where sources, tools, agents, workwalls and briefings must stay connected.

  • Source collection
  • Capability routing
  • Mission packaging

Shows

Outputs remain tied to provenance, reviewer decisions and the evidence trail behind the assessment.

  • Evidence links
  • Execution logs
  • Review context

Evaluation Path

What the next 90 days can look like

A procurement-friendly path for teams that need to evaluate mission fit, deployment boundaries and assurance before operational rollout.

01

SCOPED DEMO

Week 1

Run a focused walkthrough against your mission area, data boundary and current toolchain so the evaluation starts from real constraints.

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02

ASSURANCE REVIEW

Week 4

Review the assurance package, deployment topology, evidence model, approval paths and operating assumptions with security and procurement stakeholders.

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03

PILOT SOLUTION

Week 12

Stand up a bounded pilot Solution in the target environment with governed capabilities, reviewer workflow and evidence continuity.

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Evaluate AIF against your operational constraints

Request a secure demo or ask for assurance, deployment and procurement materials.