The intelligence layer
your AI is missing.
Ontos compiles your business knowledge into a structured reasoning engine. Your AI stops guessing. Starts knowing.
The Runtime in Action
See what structured reasoning looks like
Not demos. Not mockups. Real capabilities running inside the Ontology Runtime.
Competitive threat detected in 1ms
A competitor launched a new SKU. The Ontology Runtime evaluated 29 business rules against the live entity graph and fired 8 alerts — before anyone opened a spreadsheet.
Three sources disagree. The engine decides.
Nielsen says 14.2. POS says 13.8. The web scraper says 16.1. The confidence calibrator weighs source reliability × data freshness and resolves to 14.4 with 74% confidence. Automatically.
Business rules in English, not Jira tickets
Your brand manager types a rule in plain English. The runtime parses it, validates against the knowledge model, and deploys it. No engineering sprint. No 3-month backlog.
The system finds its own blind spots
21 entities analyzed. 111 gaps found. 6 actionable fixes proposed. The runtime inspects its own knowledge model for completeness — and tells you exactly what’s missing.
The Problem
You bought AI.
It didn't transform anything.
$200B+ spent on enterprise AI in 2025. Most of it powers slightly better search. Every enterprise bought AI tools expecting transformation. Instead, they got faster document retrieval and slightly better chatbots.
AI Tools
Powerful models, processing documents one at a time
Underwhelming Results
Generic answers, no reasoning, no action
The missing piece isn't a better model.
It's a structured understanding of your business that AI can reason over.
How It Works
From domain knowledge to live intelligence
Three steps. One runtime. Your business knowledge becomes executable.
Define
Author your domain in .onto format. Entity types, relationships, business rules, confidence scores. Human-readable, version-controlled.
Compile
The Ontology Runtime compiles your domain model, validates constraints, and produces an executable knowledge graph.
Reason
Data flows in. Rules fire. Threats detected. Sources reconciled. Intelligence compounds. Sub-millisecond execution.
The Intelligence Stack
Three layers. One runtime.
Raw data becomes structured intelligence — powered by the first ontology runtime built for enterprise AI.
Layer 3
Intelligence Agents
AI that reasons, not retrieves. Agents work with full domain context — surfacing threats, reconciling data, and executing workflows with confidence scores.
Layer 2
Ontology Runtime™
The .onto compiled domain model — the core IP. A live runtime that compiles your business knowledge into an executable knowledge graph with rules, constraints, and confidence scoring.
Layer 1
Data Ingestion
Your documents, systems, and data feeds. CRM, ERP, market data, web scrapes — everything connected and flowing into the runtime.
The Difference
What changes with the Ontology Runtime
Without Ontology Runtime
With Ontology Runtime
Built For You
By role
200 docs, 47 seconds, connections analysts miss
Due diligence that takes weeks compressed to minutes. Every cross-reference, every risk factor, every hidden connection — surfaced automatically from hundreds of documents.
Industries
Domain ontologies, built in
We don't start from scratch. The Ontos runtime ships with pre-built domain ontologies that understand your industry from day one — the rules, the relationships, and the risks.
Private Equity
PE & Due Diligence Ontology
Manufacturing
Industrial Operations Ontology
Financial Services
Regulatory & Risk Ontology
Healthcare
Clinical & Compliance Ontology
Professional Services
Client & Engagement Ontology
Construction
Project & Contract Ontology