Ontoz runs on Ontology
Every data point is a self-describing entity with mandatory flags, validations, security annotations, relationships, and metadata.
// PAN field example with full annotations
field pan: String
@Mandatory
@Sensitive
@Validation: /^[A-Z]{5}[0-9]{4}[A-Z]{1}$/
@RelatedTo: applicant, co_applicant
@Metadata: "Permanent Account Number"
What even does Col 1 mean?
Ontoz eliminates ambiguity in enterprise databases. Every field describes itself.
A simple language to express business orchestration
Ontoz's domain language forces ontology of business process, activity or task.
within [activity] X
as [role] Y
perform
[action] Z
on [entities] K
Activity
What workflow
Role
Who performs
Action
What to do
Entity
What it affects
Ship fast. Ship reliably. Both.
Ontoz offers a language to simulate and test a business action with built-in testing DSL.
assert [pre-conditions]
within [activity] X
as [role] Y
perform
[action] Z
on [entities] K
assert [post-conditions]
Unit Testing
Test each entity at unit level with pre and post-conditions.
Quality Engineering
Quality engineers have dedicated interfaces for comprehensive test coverage.
With Ontoz, we code less.
Yet, context gets AI agents to deliver better accuracy, at lower cost.
Context is code.