What you get

• Custom OWL ontology encoding your business rules
• OntoGuard deployed as middleware in your agent stack
• Role-based access control for AI agent actions
• Real-time constraint validation (amount limits, time windows, compliance rules)
• Human-readable explanations for every blocked action
• Full audit trail for regulatory compliance

Built on

Proof

• OntoGuard: I Built an Ontology Firewall in 48 Hours (5.2K)
• I Built an Ontology Firewall for Microsoft Copilot (2.1K)
• The Ontology Firewall: Why Enterprise AI Agents Are Failing (3.7K)

Ideal for

Companies deploying AI agents in regulated industries — finance, healthcare, government. Any organisation where an AI agent making the wrong decision has real financial or legal consequences.

What you get

• Legacy schema inspection and rule extraction
• Semantic mapping of business rules to OWL ontology
• MCP server generation from ontology
• Self-healing layer that auto-adapts when schemas change
• OntoGuard integration for production governance
• Full migration documentation and runbook

Built on

Proof

• Migrating Cúram CER Eligibility Rules to Agentic AI (1.5K)
• The $47 Billion Problem: Contextually Insane AI (974)
• Building a Self-Healing AI Agent (1.1K)

Ideal for

Government agencies with legacy SPM platforms, enterprises migrating from Java-era ERP to cloud CRM, any organisation with business rules locked in proprietary rule engines.

What you get

• Extraction of entities, relationships, and business rules from .pbix files
• OWL ontology generated from Power BI data models
• Semantic contracts for AI agent permissions (read/write/execute)
• MCP integration via Universal Agent Connector
• OntoGuard governance layer to prevent schema drift
• Documentation mapping dashboards to ontology entities

Built on

Proof

• From Power BI Dashboard to AI Agent in 30 Minutes (25K)
• The Power BI Ontology Paradox (15.4K)

Ideal for

Any enterprise with 50+ Power BI dashboards wanting to build AI agents on top of existing data models. 20M+ Power BI dashboards worldwide — massive untapped market.

What you get

• MCP server mesh with ontology-driven semantic routing
• Self-healing layer that auto-adapts when databases change
• Agent-to-agent communication protocol via shared ontology
• OntoGuard governance across all agents
• Backend benchmark report (PostgreSQL vs vector DB vs OWL for your use case)
• Production deployment guide and monitoring setup

Built on

Proof

• MCP + A2A + OWL Ontology: The Agentic Mesh (876)
• Universal Agent Connector: MCP + Ontology (3.7K)
• The 2026 Agent Stack (10.9K)

Ideal for

Series B+ startups building multi-agent systems, enterprises moving from single-agent PoCs to production, teams where multiple AI agents need to communicate and share context reliably.

What you get

• Palantir Foundry ontology audit and capability assessment
• Gap analysis: Foundry ontology vs open-standard OWL
• OWL migration blueprint with phased implementation plan
• OntoGuard governance layer for the migrated ontology
• Vendor-neutral ontology that works with any agent framework
• Executive briefing on total cost of ownership: Palantir vs open-standard

Built on

Proof

• Palantir Foundry Ontology: How It Works and Where It Falls Short (607)
• Microsoft vs Palantir: Two Paths to Enterprise Ontology (48K)
• The $12M AI Gap: Microsoft and Palantir Incomplete (2.2K)

Ideal for

PE firms evaluating Palantir investments, enterprises locked into Foundry wanting vendor optionality, government agencies comparing Palantir vs open-standard approaches for long-term procurement.