Trusted. Governed. On-Prem. Agent-Ready.

The Enterprise Knowledge Core
Built Inside Your Perimeter

AI can't work without complete knowledge. Knowledge can't be complete without trust. Metatron solves both—an open-source, self-hosted knowledge platform with sovereign AI inference.

340%
Average ROI in Year 1
100%
Data Stays On-Premise
$0
Per-Query API Costs

Enterprise Knowledge Core Platform

Complete knowledge lifecycle—from ingestion through intelligent reasoning—fully governed and self-hosted

Knowledge Ingestion & Governance

Autonomous discovery and mapping of enterprise data sources. Built-in policy enforcement, complete provenance tracking, and GitOps-based versioning for full lifecycle management.

Temporal Knowledge Graph

Multi-layer ontology with temporal fact storage and complete lineage tracking. Evidence-linked reasoning with role-aware access control maintains data security across the organization.

Flexible Model Runtime

Start with open-source models in Community Edition. Scale to any LLM—OpenAI, Anthropic, or custom—in Enterprise. Zero per-query costs, complete data sovereignty.

Intelligent Agents & MCP

Native agent runtime with MCP server and agent-to-agent interoperability. Includes chat UI, interactive graph explorer, and domain-specific agents for FP&A, GRC, and Operations.

Zero-Egress Architecture

Enterprise-grade RBAC/ABAC controls with comprehensive audit trails. SOC 2, HIPAA, and FedRAMP ready. Your sensitive knowledge never leaves your infrastructure.

Advanced RAG & Reasoning

Graph-first retrieval architecture with vector refinement. Semantic query planning, automatic entity disambiguation, missing-context detection, and full evidence grounding ensure accuracy.

The Problem: AI Silos + Lack of Trust

Why Enterprise AI Falls Short

Every platform ships embedded AI, but none understand your business holistically. The fundamental issue? Enterprises can't trust cloud AI with their most sensitive knowledge.

The Trust-Completeness Problem

10+
Fragmented AI Landscape
platform-specific AIs (Slack, Salesforce, Atlassian) operating in isolated silos, each with incomplete context
80%
Missing Critical Knowledge
of strategic knowledge remains trapped in email threads, local documents, and offline conversations
0%
Trust Deficit
confidence in AI-generated answers when organizations' most valuable data never enters the system
Platform AI Silos
  • Every tool has its own embedded AI
  • No single system has complete knowledge
  • Sensitive data stays in hidden spaces
  • Cloud AI can't be trusted with secrets
  • AI answers are incomplete or wrong
  • Users lose trust, adoption collapses
Metatron Knowledge Core
  • Unified knowledge across all systems
  • Fully self-hosted inside your perimeter
  • RBAC/ABAC with full provenance tracking
  • Sovereign local LLMs—zero cloud egress
  • Complete knowledge drives accurate AI
  • Trust enables completeness enables adoption

The Metatron Flywheel

Build Trust Through Self-Hosting

Fully self-hosted with enterprise-grade RBAC/ABAC controls. Sovereign inference—open-source or any LLM—with zero cloud egress. Your sensitive knowledge remains within your infrastructure perimeter.

Complete data sovereignty

Enable Completeness Through Trust

When teams trust the platform, they contribute real knowledge. Strategic decisions, institutional know-how, risk assessments, and critical context finally get captured, governed, and made accessible.

100% knowledge completeness

Deliver Accuracy Through Completeness

AI systems are only as accurate as their underlying knowledge. Complete, trustworthy knowledge bases produce reliable answers, driving genuine organizational adoption and ROI.

Trust → Completeness → Accuracy

Same Knowledge, Different Formats

CEO asks:
"What's our Q4 strategy?"
📊 Executive Summary
  • • 3 strategic priorities: Market expansion, Product v2.0, Operational efficiency
  • • Revenue target: $50M (+40% YoY)
  • • Key risk: Competitive pressure from TechCo
CTO asks:
"What's our Q4 strategy?"
⚙️ Technical Details
  • • Ship Product v2.0: New API architecture, 10x performance improvement
  • • Infrastructure: Migrate to Kubernetes (Q4 completion target)
  • • Team: Hire 6 senior engineers (backend, ML, DevOps)
Manager asks:
"What's our Q4 strategy?"
✅ Action Items
  • • Launch customer pilot program by Oct 15
  • • Weekly syncs with Product team on v2.0 roadmap
  • • Submit Q4 hiring plan by Sept 30
60%
Less documentation volume
10x
Faster knowledge discovery
0
Hours spent on wiki maintenance
100%
Knowledge always up-to-date

Platform Architecture

Seven integrated layers that power the trust-completeness-accuracy flywheel

Layer 7

Platform AI Enrichment

Context injection for external platform AIs—Slack, Salesforce, Atlassian—with governed cross-tool reasoning and secure agent-to-agent context sharing.

Layer 6

User & Agent Interface

Native chat UI, interactive graph explorer, and domain-specific agents (FP&A, GRC, Operations). Full MCP Server support with agent-to-agent interoperability and comprehensive developer API/SDK.

Layer 5

Retrieval & Reasoning Engine

Advanced typed RAG with graph-first retrieval architecture. Includes semantic query planning, entity disambiguation, missing-context detection, and full evidence grounding for transparency.

Layer 4

Model Runtime & Orchestration

Flexible orchestration supporting open-source SLMs, reasoning models, and enterprise LLM integrations. Intelligent routing, performance monitoring, benchmarking, and optional fine-tuning for domain-specific tasks.

Layer 3

Enterprise Knowledge Graph

Temporal fact store with complete provenance and lineage tracking across all data sources. Evidence-linked reasoning, role-aware access control, and real-time consistency validation.

Layer 2

Semantic Unification Layer

Multi-layer ontology system spanning universal standards through discovered entities. Automated schema alignment, normalization, temporal definitions, and controlled vocabularies ensure semantic consistency.

Layer 1

Knowledge Ingestion & Governance

Comprehensive connectors for databases, wikis, documents, and APIs. Autonomous discovery with human-in-the-loop curation, policy enforcement (PII, ownership, freshness), and GitOps-based versioning for full auditability.

Proven Results

Real customers, real impact across regulated industries

Legal Firm

73%
reduction in research time
50 lawyers, 10,000 past cases, 15 hours/week on research
$400K/year in recovered billable hours

Manufacturing

31%
downtime reduction
200-person ops team, tribal knowledge loss
$420K/year operational savings

Healthcare

50%
faster documentation
500 clinicians, 2 hours/day on paperwork
$18.75M/year in saved clinician time

Open Source. Enterprise Ready.

Start with Community Edition, scale to Enterprise, or deploy in trusted private clouds. No per-query costs. Full data sovereignty.

Community

Free

Open-source foundation for teams

  • Core knowledge base platform
  • On-premise inference with open-source models
  • Basic connectors (DBs, wikis, documents)
  • Community support via GitHub
  • Self-hosted deployment
View on GitHub
Most Popular

Enterprise

Custom

Production-ready with enterprise features

  • Everything in Community, plus:
  • Integration with any LLM (OpenAI, Anthropic, custom)
  • Advanced governance & access controls
  • Enterprise connectors & integrations
  • Priority support with SLAs
Contact Sales

Private Cloud

Custom

Managed deployment in trusted data centers

  • Everything in Enterprise, plus:
  • Deployed in partner data centers
  • Managed infrastructure & operations
  • Geographic data residency options
  • White-glove onboarding & support
Contact Partners

Trusted by Industry Leaders

"In two weeks, we gained more process clarity than 5 years of consulting projects. The automated workflows saved us 3 full-time positions worth of manual work."

Sarah Chen
COO, TechManufacture Inc.
Manufacturing

"Metatron transformed our legal research. Associates now cite 40% more relevant precedents in half the time. The ROI was immediate and dramatic."

Michael Rodriguez
Managing Partner
Legal Services

"Finally, an AI solution that meets our HIPAA requirements. Clinical documentation time cut in half, and our physicians love it."

Dr. Emily Watson
Chief Medical Officer
Healthcare System

Ready to Deploy Private AI?

Start with a 60-day on-site proof-of-concept. No commitment. Your data never leaves your premises.