Definite
Definite maps finance data into a governed ontology that powers reporting, analysis, and AI agents.
Definite maps finance data into a governed ontology that powers reporting, analysis, and AI agents.
Definite is a finance-data ontology layer that connects the ERP, CRM, HRIS, spend, and warehouse systems a finance team already runs, including NetSuite, Oracle, SAP, Workday, Salesforce, Ramp, Rippling, Jira, Snowflake, BigQuery, Excel, and Power BI, and maps their records into one governed model of entities, relationships, definitions, and lineage.
On that shared model, language models propose mappings while configured deterministic rules perform the calculations, matching, and validation, and people approve the results before anything downstream depends on them. Every figure opens back to its source record, so reporting, analysis, and audit rest on traceable finance evidence.
Finance teams increasingly run on a patchwork of ERP, CRM, HRIS, and warehouse systems, and the pressure to reconcile and report across them, and to ground AI agents in trustworthy data, keeps growing. A governed ontology that unifies those records addresses a durable need rather than a single tooling trend.
As AI agents take on more finance work, the ability to trace every figure to its source and to hold deterministic, reviewable rules around decisions becomes a differentiator. Definite positions its ontology layer as that connective and governance layer for finance data.
Definite pairs a governed ontology that sits on top of the finance stack rather than replacing it, so teams keep their existing ERP, CRM, HRIS, and warehouse systems while gaining one consistent definition of every entity and figure. Because the model records lineage down to the source record, outputs stay auditable and reconcilable across systems.
Deterministic, configured rules perform the calculations and matching, while models are limited to proposing mappings and people approve decisions before they are relied upon. That division keeps finance-grade reliability and review in the loop, in contrast to black-box automation that cannot show where a number came from.
