The Consensus Protocol

How Multi-Model AI Consensus Works

Three leading AI models collaborate through structured debate to deliver more accurate, unbiased, and explainable decisions for your most critical workflows.

ChatGPT

ChatGPT

Claude

Claude

Gemini

Gemini

End-to-End Workflow

Complete Data Extraction & Verification Flow

From ontology definition to tamper-proof certificate generation with full data extraction

1

Define Document Ontology

Define the schema and data fields required for your document type. Specify what data needs to be extracted and validated from each document category.

Field definitions

Schema structure

Validation rules

Business logic

Required data types

Type constraints

2

Upload Documents + Record Identifiers

Submit documents matching your ontology along with record identifiers. Nexus accepts multiple input formats for seamless integration with your existing systems.

API / JSON

RESTful API integration

CSV / XLS

Batch file upload

Direct Upload

Web interface

3

Multi-Model AI Consensus

Three AI models (ChatGPT, Claude, Gemini) extract data, validate documents, detect fraud, and converge toward consensus through structured debate.

ChatGPT
ChatGPT
Claude
Claude
Gemini
Gemini
Nexus
4

Receive Extracted Data + Certificate

Receive the extracted and validated data in your original format (API/JSON or CSV/XLS), plus a tamper-proof verification certificate with QR code.

Extracted Data Output
  • Same format as your input (API, JSON, CSV/XLS)
  • All extracted fields from the document
  • Validation status and confidence scores
Verification Certificate
  • Tamper-proof digital certificate
  • QR code for instant mobile verification
  • Link to original verified document
Instant Verification

Certificate Verification in Action

Scan the QR code on any certificate to instantly verify authenticity and access the original document

Verification Certificate
NirvSystem Verification Certificate with QR Code

Certificate with QR code for instant verification

1Integrity Check
Certificate validation in progress
2Certificate Details
Certificate details and verification status
3Original Document
Original verified document

Step 1: Integrity Check

Certificate is verified for tampering and authenticity

Step 2: View Details

See certificate info, issuer, validity status, and attached files

Step 3: Access Original

Click the URL to view the original verified document

The Four-Step Consensus Process

From document submission to verified decision in under 2 seconds

1

Document Submission

Submit documents through our secure API or web interface. Nexus immediately extracts metadata, normalizes formats, and prepares the document for multi-model analysis.

  • Supports all major document formats (PDF, DOCX, images, scans)
  • Automatic OCR for scanned documents
  • End-to-end encryption in transit and at rest
2

Parallel Analysis

Three AI models analyze the document simultaneously and independently. Each model brings unique strengths: ChatGPT for reasoning, Claude for nuance, and Gemini for context.

ChatGPT
ChatGPT
Deep reasoning and pattern recognition across complex documents
Claude
Claude
Nuanced understanding and context-aware analysis
Gemini
Gemini
Multimodal processing and contextual understanding
3

Structured Debate

When models disagree, they engage in a structured debate protocol. Each model presents evidence, challenges others' reasoning, and refines its position through multiple rounds until reaching consensus or identifying areas requiring human review.

Round 1: Initial Positions

Each model presents its analysis and confidence level

Round 2: Challenge & Evidence

Models challenge disagreements with specific evidence

Round 3: Refinement

Models refine positions based on peer feedback

4

Consensus Decision

The system reaches one of three outcomes: strong consensus (all models agree), qualified consensus (majority agreement with documented dissent), or escalation to human review (irreconcilable differences).

Strong Consensus

All three models agree with high confidence

Qualified Consensus

Majority agreement with documented dissent

Human Review

Escalated to human expert when needed

Why Consensus Outperforms Single Models

Our multi-model approach delivers measurable improvements across key metrics

40%
Fewer False Positives
Multiple perspectives catch errors that single models miss, dramatically reducing false alarms and unnecessary escalations.
<2s
Average Processing Time
Parallel processing enables three models to analyze documents simultaneously, delivering consensus decisions in under 2 seconds.
98%
Accuracy on Complex Cases
Consensus protocol excels on edge cases and ambiguous documents where single models struggle, achieving 98% accuracy.

Technical Deep Dive

Built on cutting-edge AI orchestration and distributed systems architecture

Parallel Processing
All three models analyze documents simultaneously using our distributed processing infrastructure.
  • Independent model execution prevents cascading failures
  • Load balancing across multiple regions for reliability
Real-Time Consensus
Our proprietary debate protocol enables rapid consensus through structured communication.
  • Optimized prompt engineering for efficient debate
  • Automatic convergence detection and escalation
Auditability
Every decision includes a complete audit trail for compliance and review.
  • Individual model reasoning recorded
  • Full debate transcript available
Human-in-the-Loop
Seamless escalation to human experts when models cannot reach consensus.
  • Configurable confidence thresholds
  • Priority queue for human review

Ready to See It in Action?

Try our interactive demo to experience multi-model AI consensus firsthand.

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