The Consensus Memory Layer
for Compliant, Reliable AI

Brain adds a human-verified knowledge graph to your RAG pipeline—delivering answers you can audit, defend, and rely on.

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🕵️ Source graph, no black box

🔄 Stops multi-answer drift

🛡️ EU-AI-Act logs, day 1

PROBLEM

Flat GraphRAG Still Hallucinates

Vector search fabricates facts. Auto-generated knowledge graphs contradict themselves. Brain flags every conflict and locks the truth—no Cypher skills required, we cut errors to 8% (synthetic benchmark on 1 k pharma SOP docs; methodology on request).

Chart showing benchmark data with VectorRAG 35 %, GraphRAG 18 %, Brain 8 % error/hallucination rates

HOW IT WORKS

Like Git but for Knowledge in RAG.

1 Detect Conflicts

Vector hits are cheap; truth is expensive. We highlight every contradictory triple on ingest.

2 Verify in SME Console

Domain experts resolve flagged facts in a no-code console, establishing the collective truth.

3 Deploy

Power your applications with guaranteed contradiction-free, traceable facts via Brain API.

USE CASES

Where Flat AI Fails
‍Brain turns unstructured knowledge into reasoned, auditable answers. Working in symbiosis with SME in Your team, so you can apply it in high-stake situations where other LLM architectures fails.

Regulatory Q&A

Ask any clause, get a cited answer with version history and conflict notes

• Pharma (GxP, EMA)
• Energy (CSRD, CBAM)
• Finance (MiFID II, SFDR)

Decision Support

Query historic decisions and playbooks in seconds — no more Slack archaeology.

• Sales (playbooks, lost deals)
• Product (feature decisions)

Exception Handling

Every override gets a reason chain. Perfect for audits, crucial for trust.

• Finance (KYC, compliance flags)
• Insurance (claims deviation, fraud)

Incident R-C Analysis

Logs → causal chain → root fix, not symptom patch.

• R&D (experiment troubleshooting)
• Manufacturing (process deviation)

You don't just should, you need to think about it.

"Businesses that do not use semantic modeling are limited in their ability to integrate and utilize internal data for downstream tasks."

Adapted from Gartner® : Adopt a Data Semantics Approach to Drive Business Value 2023 Check the report

We Partner with the World’s
Most Forward-Thinking Teams

Join our closed alpha to shape the future of enterprise AI—low-risk, compliance-ready.

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The Consensus Memory Layerfor Compliant, Reliable AI