ON-PREMISE AI PLATFORM

Transform Millions of
Documents Into
Instant Intelligence

An on-premise Retrieval-Augmented Generation platform that converts massive document repositories into a queryable, auditable knowledge base — running entirely on your infrastructure with zero cloud dependency.

< 2s
Query Response Time
100M+
Document Scalability
100%
On-Premise Deployment
15–50×
Cost Savings vs Cloud
Platform Capabilities

Enterprise-Grade Features
Built for Critical Operations

Every capability is designed for production environments where accuracy, security, and auditability are non-negotiable.

🔍
Visual Document Understanding
Processes documents as visual entities — preserving tables, charts, nested clauses, and spatial relationships that traditional text extraction destroys.
🧠
Intelligent Field Extraction
Goes beyond character recognition to extract contextual meaning — distinguishing between similar fields, validating against business rules, and mapping to your data schemas.
⚡
Hybrid Search Engine
Combines semantic understanding with exact keyword matching in a single query — essential for domains where precise legal or regulatory terminology matters.
🤖
Multi-Agent Orchestration
Specialized AI agents work in concert — classifying documents, extracting metadata, checking compliance, versioning records, and indexing — all orchestrated visually.
🔗
Knowledge Graph Intelligence
Models relationships between documents as a graph — tracking how amendments override base contracts, how riders extend coverage, and how regulations constrain all of the above.
🛡️
Self-Correcting Responses
Every AI-generated answer is automatically graded for relevance. Low-confidence results trigger supplementary searches, ensuring responses are verified before delivery.
Architecture

How NEXUS-7-RAG Works

A five-layer architecture where each stage is independently deployable, horizontally scalable, and operates entirely on your hardware.

📄
Layer 01
Document Intake
PDFs, scanned images, spreadsheets, and DOCX files are ingested using vision-language models that treat each page as a visual entity, preserving layout integrity.
🏷️
Layer 02
Smart Enrichment
AI agents automatically classify documents, extract domain-specific metadata, verify compliance, and detect superseded versions — all through orchestrated workflows.
📊
Layer 03
Unified Indexing
Visual embeddings, text indexes, structured metadata, and knowledge graph relationships are stored in a single unified engine — enabling instant retrieval across all dimensions.
🎯
Layer 04
Precision Retrieval
Hybrid search combines semantic matching with exact keyword matching, followed by deep reranking that reduces hallucinations by 35% — all executed at the data layer.
💬
Layer 05
Cited Responses
Locally-running AI models generate natural language answers with inline citations, page references, and confidence scores — fully traceable and auditable.
Value Proposition

Why Organizations Choose
NEXUS-7-RAG

Purpose-built for regulated industries where data sovereignty, accuracy, and auditability define success.

01
Complete Data Sovereignty
Every component — AI inference, search, document processing, and APIs — runs on your infrastructure. Supports fully air-gapped deployment with zero internet dependency. Your data never leaves your premises.
02
15–50× Cost Reduction
Built entirely on open-source components with zero software licensing costs. A one-time hardware investment replaces recurring cloud compute bills, delivering massive savings over a 3-year horizon.
03
Sub-Second Retrieval at Scale
End-to-end retrieval latency under 200ms for collections of 1 million+ documents. The unified search engine eliminates external service hops, delivering 3–5× faster performance than distributed architectures.
04
Regulatory Compliance Built-In
Immutable audit trails log every interaction — from query to response — with complete traceability. Self-correcting AI ensures answers are accurate, cited, and defensible for regulatory audits.
05
Multi-Language Native Support
Visual document processing is inherently language-agnostic. Combined with multilingual AI models, NEXUS-7-RAG handles mixed-language documents natively — critical for organizations operating across regions.
06
No Vendor Lock-In
Every software component uses permissive open-source licensing. Organizations maintain full control over their AI infrastructure — no proprietary dependencies, no surprise pricing changes.
Deployment Tiers

Scale From a Single Office
to National Infrastructure

Pre-configured hardware appliances eliminate infrastructure complexity. Choose the tier that matches your scale — upgrade seamlessly as your needs grow.

Tier 1
Compact
Up to 100,000 documents
  • Apple Silicon compact appliance
  • 24 GB unified memory
  • 5–10 concurrent users
  • Lightweight AI models for fast inference
  • Single-node deployment
  • Ideal for PoC & regional offices
Tier 2
Professional
Up to 1,000,000 documents
  • Apple Silicon workstation (128–192 GB)
  • Advanced AI models (70B+ parameters)
  • 25–50 concurrent users
  • High-accuracy visual document indexing
  • Full-capacity single node
  • Ideal for mid-size enterprises
Tier 3
Enterprise
1M – 10M+ documents
  • GPU workstation (48–96 GB VRAM)
  • Full-precision large AI models
  • 100–500+ concurrent users
  • Distributed multi-node cluster
  • Multi-tenant isolation
  • Ideal for national-scale deployments
Tier 4
Cloud Scale
10M – 100M+ documents
  • Managed cloud or self-hosted clusters
  • 5,000+ tenant capacity
  • 1,000+ concurrent users
  • Hybrid on-premise + cloud topology
  • Auto-scaling infrastructure
  • Ideal for reinsurers & multi-country ops
Cost Analysis

Total Cost of Ownership:
3-Year Comparison

NEXUS-7-RAG delivers enterprise AI capabilities at a fraction of the cost through open-source components and on-premise deployment.

Cost Factor NEXUS-7-RAG (Tier 2) Cloud RAG Alternative Enterprise RAG Platform
Hardware (Year 1) RM 50,000 (one-time) N/A N/A
Software Licenses / Year RM 0 (open-source) RM 200k–300k RM 400k–800k
Cloud Compute / Year RM 0 (on-premise) RM 150k–300k RM 100k–200k
Data Sovereignty 100% On-Premise Cloud-dependent Partial
3-Year TCO RM 50k–80k total RM 1.0M–1.8M total RM 1.5M–3M total
> 0.95
Context Precision
> 0.98
Context Recall
> 0.99
Faithfulness Score
> 0.90
Answer Relevancy
Industry Deployment

Deployed Across Regulated
Industries Worldwide

The same core platform adapts to any domain where millions of documents, regulatory compliance, and fast accurate retrieval define operational success.

🏥
Insurance
Transform millions of policies, endorsements, claim files, and regulatory circulars into an instant-answer knowledge base. Agents classify documents by line of business, cross-reference coverage against regulations, and deliver cited responses for claims adjudication, underwriting, and customer service.
Policy Search Claims Intelligence Underwriting AI Regulatory Compliance Customer Service
🏦
Banking & Financial Services
Index millions of loan agreements, compliance filings, KYC documents, and regulatory bulletins. Enable relationship managers and compliance officers to retrieve precise clauses, audit trails, and regulatory cross-references in real-time — fully on-premise for data sovereignty.
KYC/AML Intelligence Loan Document Analysis Regulatory Reporting Credit Risk Analysis Fraud Detection
📡
Telecommunications
Process millions of service contracts, SLA documents, technical specifications, and customer interaction logs. Enable support teams to instantly find resolution steps, contract terms, and compliance requirements across massive documentation libraries.
SLA Compliance Technical Troubleshooting Contract Intelligence Network Docs Customer Resolution
🏛️
Government & Public Sector
Digitize and index millions of citizen records, legal filings, policy documents, and departmental guidelines. Air-gapped deployment ensures classified documents stay on sovereign infrastructure while enabling instant, auditable retrieval for government officers.
Citizen Records Legal Document Search Policy Analysis Inter-Dept Coordination RTI Compliance
⚖️
Legal & Compliance
Search across millions of case files, contracts, court orders, and regulatory guidelines. Knowledge graph intelligence tracks how amendments override base agreements, ensuring lawyers always retrieve the latest, legally binding version of any clause.
Case Research Contract Review Precedent Analysis Due Diligence Regulatory Tracking
🏭
Manufacturing & Energy
Index safety manuals, equipment specifications, maintenance logs, and compliance certificates. Enable field engineers and safety officers to query technical documentation in natural language and receive cited, version-accurate answers instantly.
Safety Compliance Equipment Manuals Maintenance Logs Quality Audits Regulatory Filings
Insurance Domain

Insurance Use Cases:
From Intake to Intelligence

Purpose-built for the unique challenges of insurance document management — where a single missed clause can cost millions and compliance failures attract regulatory penalties.

USE CASE 01
Instant Policy Search & Q&A
Agents, brokers, and customers ask natural language questions like "What is the sub-limit for earthquake damage on policy #XYZ?" and receive cited answers in under 2 seconds — pulled from millions of documents across all lines of business.
⚡ Response: < 2 seconds across 1M+ policies
USE CASE 02
Claims Adjudication Intelligence
Claims adjusters query the system to find all applicable coverage, exclusions, and limits for a specific claim. The knowledge graph ensures endorsements that override base conditions are surfaced — preventing costly errors from outdated clauses.
✓ Eliminates cross-LOB contamination errors
USE CASE 03
Automated Underwriting Support
Underwriters receive AI-powered risk assessments by querying historical policies, claim patterns, and regulatory guidelines simultaneously. Visual document understanding preserves premium tables and coverage matrices exactly as designed.
🎯 99%+ field extraction accuracy
USE CASE 04
Regulatory Compliance Monitoring
Compliance officers query the full regulatory corpus — BNM guidelines, PIAM circulars, and internal compliance manuals — to verify that current products and practices align with the latest requirements. AI agents continuously cross-reference policies against regulations.
✓ Real-time regulatory alignment verification
USE CASE 05
Customer Service Automation
Customer service representatives access role-limited views of policy information — benefit schedules, coverage summaries, and FAQs — to answer customer queries instantly. Access controls ensure sensitive underwriting data remains protected.
⚡ 70% reduction in average handle time
USE CASE 06
Endorsement & Rider Tracking
The system automatically tracks which endorsements override base policy conditions and which riders extend coverage. Version hashing ensures superseded documents are flagged, preventing conflicting answers from outdated policy versions.
✓ Cryptographic version tracking
USE CASE 07
Claim Processing Automation
Claims handlers instantly extract relevant data from submitted medical reports, police reports, and repair estimates to validate against policy inclusions. The system surfaces discrepancies between claimed amounts and historical benchmarks.
⚡ Accelerates claim turnaround times
USE CASE 08
Fraud Detection & Prevention
The AI automatically cross-references new claim documentation against historical claims, blacklisted entities, and recognized fraud patterns. It flags suspicious inconsistencies in dates, amounts, or narratives before payouts occur.
🎯 Proactive anomaly & pattern recognition
USE CASE 09
Fraud Detection & Audit
Every AI interaction is logged with complete audit trails — query text, retrieved documents, relevance scores, generated responses, and self-critique results. Immutable logs enable forensic analysis for fraud investigations and regulatory examinations.
✓ Immutable audit trail for every interaction
Trust & Auditability

The Truth Layer:
Verification at Every Step

In regulated industries, every AI-generated response must be traceable, citable, and self-correcting. NEXUS-7-RAG builds verification into its core architecture.

Self-Correcting AI Pipeline

1️⃣
Initial Retrieval
The search engine returns top-ranked documents for the user's query across the full document corpus.
2️⃣
Relevance Grading
An evaluator agent scores each retrieved chunk. If relevance falls below 70%, a supplementary search is triggered automatically.
3️⃣
Knowledge Refinement
Retrieved documents are partitioned into "knowledge strips" and irrelevant ones are filtered out — reducing noise before the AI model processes them.
4️⃣
Self-Critique & Regeneration
The AI evaluates its own response for accuracy, relevance, and citation support. If unsupported, the entire loop re-executes with a refined query.

Immutable Audit Trail

Every interaction is permanently logged for complete regulatory traceability:

👤
User Identity & Role
Who made the query and their permission level
🔍
Query & Intent Parsing
Exact query text and the system's interpretation
📄
Retrieved Documents & Scores
All documents returned with relevance scores
🚫
Filtered & Rejected Content
Documents filtered out with reasons for exclusion
💬
Final Response & Citations
Generated answer with inline source references
🕐
Timestamp & Session Metadata
Session ID, hardware node, and self-critique scores
Security & Access Control

Multi-Tenant Architecture
with Granular Access Control

Serve multiple organizations or departments from shared infrastructure while maintaining absolute data isolation and role-based access.

Tenant Isolation Strategies

Strategy Isolation Level Scale
Database-Level Physical ~64 tenants
Collection-Level Physical/Logical Up to 65K tenants
Partition-Key Level Logical Millions of tenants

Role-Based Access Control

🔑 Claims Adjuster
Full access to policy history, claim documents, and coverage analysis for assigned cases.
📊 Underwriter
Access to underwriting guidelines, risk assessment tools, and policy comparison features.
📞 Customer Service
Read-only access to coverage summaries, benefit schedules, and FAQ-level information.
⚖️ Compliance Officer
Full document access plus audit trails, regulatory cross-references, and compliance reports.
📈 Management
Aggregated analytics, portfolio-level queries, and system health dashboards.
Implementation

From Discovery to Production
in 8–12 Weeks

A phased approach designed to deliver measurable value within weeks while building toward full-scale enterprise deployment.

Phase 01
Discovery
1–2 Weeks
  • Document audit & analysis
  • Data schema mapping
  • Hardware sizing & procurement
  • Agent workflow design
  • Architecture blueprint approval
Phase 02
Pilot (PoC)
3–4 Weeks
  • 500 documents indexed
  • Single department deployment
  • Accuracy benchmarks run
  • Performance targets validated
  • User acceptance testing
Phase 03
Production
4–6 Weeks
  • Full document corpus indexed
  • Multi-department rollout
  • API integrations completed
  • Role-based access configured
  • Production go-live
Phase 04
Scale
Ongoing
  • Additional departments onboarded
  • Custom agent workflows
  • Model fine-tuning for domain
  • Performance optimization
  • Continuous improvement cycle
READY TO TRANSFORM YOUR DOCUMENTS

Turn Millions of Documents
Into Instant Answers

Begin with a pilot deployment — 500 documents indexed, accuracy benchmarks validated, and measurable ROI demonstrated — all within 6 weeks.

Start a Pilot → Visit nexus7.co.in
Email
hello@nexus7.co.in
Platform
nexus7.co.in
Product
NEXUS-7-RAG