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Argus

Argus

Redacted

Defense · synthetic data — no real PHI

AI that reviews defense procurement contracts in hours, not weeks — a crew of governed agents checks every requirement and grounds every finding in evidence, built to run as Agent-as-a-Service on Nexus.

Built on AIOSOur own AI Operating System. Developed and governed with Atlas, deployed and run on Nexus — the Agents-as-a-Service engine. We build every product on the same platform we ship.Explore AIOS — Develop ⇄ Deploy →
1

The problem

Defense procurement contracts run to hundreds of pages, checked by hand against long requirement checklists — slow, costly, error-prone, and hard to defend in an audit.

2

Our approach

Argus runs the review as a crew of governed agents — multi-pass RAG retrieval, three-layer evidence grounding (Requirement → Proof → Evidence), multi-reviewer consensus, and an automated gap analysis. The agents are provider-abstracted (any LLM, enterprise or open-source) behind a single seam today, and built to graduate onto Nexus, our Agent-as-a-Service harness — so every finding stays governed and audited, and each review sharpens as Nexus's shared models, skills, and cheaper inference improve underneath it.

3

The demo

A synthetic, fully-redacted walkthrough — no client data, no real imagery. Drag to pan, scroll to zoom, and click any requirement to see how the agents grade it: Requirement → Proof → Evidence, confirmed by multi-reviewer consensus — the same governed pipeline built to run as Agent-as-a-Service on Nexus.

Interactive explainer · built native (typed React Visual-Pack, no CMS). All data shown is synthetic, generated in-browser — never real patient data.