AI That Works
In Production
Secure, auditable AI solutions for DACH enterprises. From document intelligence to autonomous agents — deployed on your infrastructure.
Benchmarked against academic multi-hop QA standards
Tested on 500+ samples per benchmark using standard academic multi-hop QA datasets — MuSiQue, HotpotQA, and 2WikiMultiHopQA.
Achieves GPT-4 level accuracy using cost-effective gpt-4o-mini — thanks to Graph-ReAct architecture that compensates model size with smarter retrieval.
19,000+ documents indexed with 260,000+ knowledge graph triplets. Entity resolution improved graph connectivity from 1% to 46%.
ARGUS: The Reasoning Engine for Enterprise Knowledge
Stop building chatbots that just keyword-search.
Start building AI that investigates, reasons, and answers correctly.
The "Last Mile" Problem in Enterprise AI
You've ingested thousands of PDFs, contracts, and technical manuals into your vector database. Yet, your AI assistant still fails at complex questions.
Standard RAG is blind to context. ARGUS changes the game.
What Makes ARGUS Different?
We moved beyond simple vector similarity. ARGUS combines a Knowledge Graph with an Autonomous Agent to simulate how a human expert solves problems.
1. Multi-Hop Reasoning
It Connects the Dots
Where standard AI gives up if the answer isn't in one paragraph, ARGUS investigates.
The Query:
"How does the liability clause in the 2024 addendum affect the original 2020 master agreement?"
The Process:
Reads 2020 agreement → Finds link to 2024 addendum → Compares clauses → Synthesizes answer
Result: Answers that require logic, not just retrieval.
2. Full Auditability & Transparency
Trace of Thought
Black box AI is a liability. ARGUS provides complete reasoning transparency.
Evidence Ledger
Every claim is cited with a direct link to the source document.
Reasoning Log
See exactly which steps the agent took and how it reached the conclusion.
Benefit: Your compliance team will actually approve it.
3. Enterprise-Grade Accuracy
Strict Source Grounding
Built on hybrid architecture (Graph + Vector + ReAct), outperforming standard retrieval on complex logical benchmarks.
Answers Cite Sources
Every claim is backed by a document reference. No source? No answer.
Designed for the C-Suite & IT Security
We know that great algorithms don't matter if they don't fit your infrastructure.
Security First
On-Premise Ready
Deploy via Docker in your private cloud or VPC. Your data never leaves your perimeter unless you want it to.
Cost Efficient
Smart Routing
We achieve GPT-4 level results using cost-effective models (like GPT-4o-mini) thanks to our advanced graph filtering.
Agnostic & Flexible
Model Independent
Plug in OpenAI, Azure, Anthropic, or run local LLMs (Llama 3, Mistral). It's your choice.
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.
Ideal Use Cases
Legal & Compliance
Analyze conflicting clauses across hundreds of interlinked contracts.
Technical Support
Solve L3 tickets by connecting error logs to specific legacy manuals and resolved Jira tickets.
Financial Analysis
Synthesize quarterly reports from multiple subsidiaries into a single coherent summary.
Technical Specs (For the Engineering Team)
Architecture
Hybrid Search (RRF) + Personalized PageRank (PPR) on Knowledge Graph
Agent Framework
Custom ReAct with loop detection and memory compression
Stack
Python, PostgreSQL (pgvector), Docker-compose
Zero-Training
No fine-tuning required. Ingest data and start asking immediately.
Knowledge Graph Scale (Internal Benchmarks)
Don't Settle for "Good Enough" Search
Your business data is complex. Your AI should be too.
Book a DemoSee ARGUS solve a query your current chatbot failed on.
Our Services
Full spectrum of AI solutions to transform your business
Document Intelligence for Legal
Automated contract analysis, clause extraction, and liability gap detection across 10,000+ documents with source-cited answers.
Compliance Automation
BaFin, DORA, and EU AI Act readiness — automated audit trails, risk assessments, and regulatory reporting for financial institutions.
Enterprise Knowledge Graphs
Connect SAP, Salesforce, and SharePoint into a unified AI-powered knowledge layer with multi-hop reasoning across your data.
Legacy Data Rescue (OCR + AI)
Digitize decades of maintenance manuals, engineering specs, and handwritten records — making tribal knowledge searchable and actionable.
On-Premise LLM Deployment
Llama 3, Mistral, and Qwen on your infrastructure. Full data sovereignty with Docker-based deployment — your data never leaves your servers.
AI Readiness & Team Training
Discovery workshops, GenAI readiness audits, and hands-on training for technical teams — from prompt engineering to RAG architecture.
Why Choose Heabsy
We don't just implement technology — we become your strategic partner on the path to AI transformation. Every solution is tailored to your unique business needs.
Contract Review: 6 Weeks → 3 Days
A legal team audited 10,000+ contracts using ARGUS — reducing review cycles from 6 weeks to 3 days with full clause-level traceability.
Audit-Ready in 72 Hours
Financial institutions automated BaFin/DORA compliance checks — cutting audit preparation from weeks to days with full evidence trails.
30 Years of Know-How, Searchable
A manufacturer digitized 1,500+ legacy maintenance manuals via OCR and knowledge graphs — preserving decades of tribal expertise before key retirements.
Zero Data Leaves Your Perimeter
On-premise deployment with Llama 3 & Mistral models. Your documents stay on your servers — no cloud, no third-party access, full data sovereignty.
Ready to Start AI Transformation?
Book a free consultation. We'll analyze your business processes and recommend the right AI solutions.
Let's Talk
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