ARGUS
Audit-proof answers across connected enterprise documents.
When a question spans contracts, policies, and appendices — standard search returns fragments. ARGUS proves the answer with a full source chain.
No source? No answer.
Your teams are drowning in documents.
Your AI can't connect the dots.
Standard RAG retrieves paragraphs. But enterprise questions don't live in one paragraph. They span master agreements, amendments, side letters, policies, and legacy SOPs. That's where every other system breaks — and where ARGUS begins.
What Changes With ARGUS
Real scenarios. Real pain. Real results.
Legal & Compliance
A legal team manually searches 6+ documents to verify whether an addendum overrides a master service agreement clause. Takes 2–4 hours per review.
ARGUS traces the clause chain across master agreement → addendum → side letter, surfaces the contradiction, and cites every source. Done in under 15 seconds.
Banking & Insurance (DORA / BaFin)
Compliance officers spend weeks cross-referencing ICT third-party contracts against DORA requirements, manually checking 200+ vendor agreements for gaps.
ARGUS maps each vendor contract against DORA articles, flags non-compliant clauses, and generates an audit-ready gap report with full source tracing.
Manufacturing & Technical Docs
Maintenance engineers dig through 1980s legacy manuals, scattered across PDFs and scanned documents, to find troubleshooting procedures for critical equipment.
ARGUS indexes OCR'd legacy documents, connects related procedures across manuals, and delivers step-by-step answers with page references.
From First Call to Production
A structured pilot so you see results on your data — not a generic demo.
Scoping Call
We identify your highest-value document set and define 10–15 test questions that matter to your team.
Data Ingestion
Upload your documents. ARGUS builds the knowledge graph — no training, no fine-tuning, no data leaves your infrastructure.
Live Evaluation
Your team tests ARGUS against real queries. Every answer includes source citations for verification.
Results & Decision
We present accuracy metrics on your data, compare against your current process, and define production rollout if results meet your bar.
Deployment options: On-premise (Docker), Private Cloud (Azure/AWS Europe), or Managed SaaS.
Your data never leaves your infrastructure. Zero model training on customer data.
For Technical Evaluators
Proven Performance: The Numbers Don't Lie
We didn't just build a wrapper around ChatGPT. We benchmarked ARGUS against rigorous academic datasets designed to break standard search systems.
Naive RAG (single-query vector search) struggles with multi-hop questions.
ARGUS actively investigates and connects facts across documents.
HotpotQA
Multi-step Retrieval
F1 Score
Exact Match (EM)
Naive RAG fails: Bridge Problem: Finds first fact, but misses the second document needed for the complete answer.
MuSiQue
Deep Logic Chains (3-4 steps)
F1 Score
Exact Match (EM)
Naive RAG fails: Too complex: Questions require 3-4 steps. Single search can't retrieve all necessary pieces.
2WikiMultiHopQA
Complex Reasoning
F1 Score
Exact Match (EM)
Naive RAG fails: Partial answers: Often answers only part of compound question or loses critical details.
Results achieved using cost-effective models (gpt-4o-mini). Performance scales further with larger models.
Why These Metrics Matter for Your Business
F1 Score = Precision + Recall
High F1 means the system finds the right information AND includes all relevant details — not just partial answers from page 5 of Contract A.
Exact Match = Production Ready
High EM means the answer is exactly right — critical for compliance, legal, and financial use cases where "close enough" isn't acceptable.
"Training-Free" Efficiency
We achieved these scores using a zero-shot approach. You get this accuracy out-of-the-box on your data, with no expensive model training required.
Is ARGUS Right For You?
We'd rather tell you upfront than waste your time.
Best Fit
- Multi-document compliance review
- Contract clause analysis across agreement hierarchies
- Legacy technical documentation retrieval
- Regulatory gap analysis (DORA, GDPR, EU AI Act)
- Cross-referencing policies, SOPs, and internal guidelines
Not Ideal For
- Simple FAQ or single-document search
- Generic customer support chatbots
- Creative content generation
- Real-time streaming data analysis
See ARGUS on Your Documents
30-minute scoping call. We'll identify your highest-value use case and show you what ARGUS finds in your data.
Book Pilot Scoping Call