The Intelligence Stack

Three layers. One runtime.
Raw data becomes intelligence.

Data ingestion, ontology runtime, intelligence agents — the complete architecture for enterprise AI that actually works.

Three layers of the intelligence stack
Layer 1

Data Ingestion

Everything you already have — CRM, ERP, docs, spreadsheets, emails. Ontos connects to all of it through MCP servers. No moving data around. No migrations.

Salesforce
SAP
Snowflake
BigQuery
Google Drive
PDFs
HubSpot
Oracle
Layer 2Core IP

Ontology Runtime

The brain. Your business knowledge compiled into an executable engine. The .onto format lets your team define entity types, relationships, business rules, and confidence scores — in human-readable, version-controlled files.

Customer
Transaction
Product
Risk Factor
Supplier
Contract
Regulation
Tap to explore reasoning
1msInference time across 29 rules
92%Confidence score with source reconciliation
0Engineering sprints for new business rules
111Knowledge gaps self-discovered
Layer 3

Intelligence Agents

AI that reasons, not retrieves. Agents work with full domain context — surfacing threats, reconciling conflicting data, and executing workflows. Every answer comes with confidence scores and source citations.

Threat Detection

Competitive moves flagged in real-time

Source Reconciliation

Three reports disagree. The engine decides.

Workflow Execution

From insight to action. Automatically.

Confidence Calibration

Three sources disagree.
The engine decides.

The confidence calibrator weighs source reliability × data freshness and resolves automatically. No analyst needed.

Scenario: Q3 Revenue Forecast
Salesforce CRM
$14.2M
w: 0.85
SAP ERP
$13.8M
w: 0.70
Sales Model.xlsx
$16.1M
w: 0.25
Ontos Resolved
$14.4M
Valid forecast
Confidence92%