An enterprise ontology that grounds every AI agent
The Enterprise Data Model captures your organization's concepts and relationships, so agents understand your business the way your people do, not the way a generic model assumes.
- Fewer hallucinations on business-specific questions
- Consistent terminology and reasoning across every agent
- Explainable answers that trace back to defined concepts
- Reuse one knowledge model across many use cases
- Faster setup of new agents on a shared structure
Ingest and understand your data
Cogito AI ontologies capture your company's own language: what a "customer," "account" or "case" means, and how those things relate. They form a shared knowledge graph that grounds every agent in your definitions, so its reasoning is accurate, consistent and explainable.
- 01
Enterprise Data Model
Define the entities, terms and relationships specific to your organization, from products to processes, and bring in objects from your CRM and data warehouse.
- 02
Data quality checks
Browse ingested documents alongside their metadata tags, check them for completeness and correctness, match and cleanse legacy data, and correct a tag across every document in one step. Feedback on answers points you to source data that needs fixing.
- 03
Shared vocabulary
Give every agent a consistent understanding of your products, customers and workflows across teams.
- 04
Grounded reasoning
Reduce hallucination by anchoring answers to your defined knowledge graph rather than a model's assumptions.
- 05
Explainable outputs
Because answers trace back to defined concepts, results are easier to explain, review and trust.
- 06
Industry templates
Start from standard data-model templates for key industries, then view, edit and check how your data maps into the model.
In the platform
A recording of the Manage Data Model screen: the Enterprise Data Model's entities, their fields and how they relate, in the Graph View.
Data Model Manage Data Model Enterprise Data Model
Illustrative product view with sample data.
How it works
- 1
Map your concepts
Work with Cogito AI to model the entities, terms and relationships that define how your organization operates.
- 2
Link to your data
Tie ontology concepts to the connected systems where that data actually lives, creating a grounded knowledge graph.
- 3
Ground your agents
Agents reason over the ontology, so answers use your definitions and relationships instead of generic assumptions.
- 4
Refine over time
Extend and adjust the ontology as the business evolves; agents inherit the changes without a rebuild.