Enterprise AI for Regulated Industries

Your AI Answers Hallucinate.
Ours Don't.

83% of enterprise RAG deployments fail in production. ARGUS uses Graph-ReAct architecture with source-cited answers — deployed on your infrastructure, not ours.

On-Premise Deployment
SOC 2 Roadmap
DSGVO-Compliant
No Data Leaves Your Infrastructure

Results From Real Deployments

Based on client engagements in DACH-region regulated industries.

Legal — DACH Law Firm
Challenge:

10,000+ contracts requiring clause-level compliance audit

Result:

Review completed in 3 days instead of 6 weeks

93%
time reduction
Finance — Mid-Tier Bank
Challenge:

BaFin/DORA audit preparation across 12 regulatory frameworks

Result:

Audit-ready documentation generated in 72 hours

72h
audit prep time
Manufacturing — Industrial Group
Challenge:

1,500+ legacy maintenance manuals (1980s–2010s) inaccessible

Result:

Full knowledge base digitized with OCR + semantic search

1,500+
manuals digitized

* Anonymized results based on actual client engagements. Details available under NDA.

Free Whitepaper

Why Enterprise RAG Fails — and How to Fix It

A technical deep-dive for CTOs and Engineering Leads building AI infrastructure in regulated industries.

  • Why 83% of enterprise RAG projects fail in production
  • The Graph-ReAct architecture: reasoning, not just retrieval
  • Benchmark results: 56.7% MuSiQue EM vs. industry average
  • Implementation roadmap for regulated industries

Get the Whitepaper

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