ONTOGUARD AI

The Compliance & Trust Plugin for Large Language Models

A lightweight overlay that wraps around your LLM — delivering real-time trust scoring, symbolic validation, and legal compliance. No retraining. No rewriting. Just plug it in.

📄 Download White Paper 📄 Executive Brief

Why OntoGuard AI Exists

Large language models like GPT, Claude, and Gemini are powerful — but they still make mistakes, break rules, and are hard to explain.

OntoGuard AI doesn’t replace these models. It plugs into them — adding real-time trust scoring, legal compliance checks, and a transparent reasoning trail.

Think of it as a seatbelt, a dashboard, and a legal expert for your AI — all in one. No retraining. No rewiring. Just wrap your model and go.

Unlike other approaches,OntoGuard doesn’t require you to retrain your model every time rules change or new risks appear.. It learns continuously through structured knowledge, symbolic logic, and feedback — keeping your LLM up to date without touching its core weights.

This is not for banks or pharmaceutical companies, although they will indirectly benefit. It’s for the tech companies building and deploying generative AI — and need it to be explainable, compliant, and safe.

Key Benefits

💼 Illustrative Use Case – Financial Compliance

A large language model analyzing regulatory disclosures flagged three outputs as high-risk for SEC violations.

OntoGuard AI automatically tagged, symbolically traced, and scored each instance — all in under 50ms — enabling real-time auditor review before filing.

This prevented potential reporting infractions without requiring retraining or model slowdown.

How It Works

1. The AI Evolution

LLM Evolution to Ontology-Enhanced AI

2. Solving the Peak Data Problem

Peak AI Problem and Solution

3. The AI Trust Pipeline

AI Validation and Compliance Scoring

4. Executive Summary

AI Reasoning, Compliance, and Symbolic Trust System Overview 📄 NDA Access Request

Not Just Ontology — Built-in Intelligence

  • 🧠 Adaptive Symbolic Reasoning: Context-aware inferences, not static facts
  • 🔁 Self-Evolving Feedback Loop: Dynamically self-corrects using domain knowledge
  • 📊 Probabilistic Trust Engine: Quantifies uncertainty with semantic validation
  • 🛡️ Logical Compliance Scoring: Enforces interpretable, real-time policy constraints

Our patent-pending system weaves dynamic knowledge with validation, ensuring compliance and trust.

Full technical details available under NDA.

Strategic Fit

See It in Action

Explore the live demo or reach out for a deeper strategic discussion under NDA.

Request Enterprise Access 🎯 Launch Live Demo Contact for NDA

We'll respond with NDA terms and provide access to private demo assets, integration materials, and partner briefings.