[ Platform · Ontology ]
The business context layer behind every answer
Pluvo's ontology models how your business actually works: the entities, relationships, and definitions behind your numbers, so agents reason over your company instead of guessing at it.
Entities · Relationships · Definitions
Meaning, modeled once. Define what revenue means, how entities relate, and which rules apply, then every question, workflow, and report computes from the same understanding.
A living map of your business
Customers, contracts, products, entities: the ontology captures what exists and how it all connects, across every system you run.
Entities resolved across systems
One customer, one record, whether it lives in your CRM, billing, or ERP.
Relationships made explicit
A contract governs a purchase; revenue flows from it. The map holds the how.
Independent of your tools
The model reflects your business, not any one system's schema.
Definitions that end the debate
Every company defines revenue differently. The ontology pins your definitions down so every answer, human or agent, uses the same ones.
One definition, everywhere
Recognized vs booked, fiscal vs calendar: decided once, applied always.
Versioned and governed
Definitions change; the history and the approvals stay.
Consistent outputs
Two people asking the same question get the same number.
Built for agents to reason over
AI is only as good as the context you feed it. The ontology is the stable, machine-readable context that lets agents understand instead of guess.
Context without the scavenger hunt
Agents traverse the map instead of stitching exports together.
Grounded computation
Answers computed against your logic, not a generic model's assumptions.
A compounding asset
Every definition and relationship you add makes every future answer better.
[ What one shared model changes ]
3
building blocks: entities, relationships, definitions
1
shared model every system and agent reads from
0
conflicting definitions of a metric
“Everyone finally argues about the business, not about whose number is right.”
VP Finance · Multi-entity SaaS
[ Use cases ]
How finance teams use the Ontology
The context layer under every workflow, answer, and report.
Metric standardization
One definition of ARR, margin, and burn across the company.
Entity resolution
The same customer recognized across CRM, billing, and GL.
Multi-entity onboarding
New entities mapped into the model, not bolted on.
Policy grounding
Recognition and allocation rules applied automatically.
Agent context
Every agent run starts from the same worldview.
[ Integrations ]
Modeled from the systems you already run
The ontology is built from your connected stack: ERP, accounting, CRM, and billing, then refined with your definitions.
NetSuite
LiveERP
Connect NetSuite to Pluvo so finance teams can analyze ERP data alongside ledger, revenue, workforce, and operating context.
QuickBooks Online
LiveAccounting
Connect QuickBooks Online to Pluvo so finance teams can analyze accounting data alongside ledger, revenue, workforce, and operating context.
Rillet
LiveERP
Connect modern ERP data to Pluvo for close, reporting, and finance workflows grounded in source transactions.
Sage Intacct
LiveERP
Connect Sage Intacct to Pluvo so finance teams can analyze ERP data alongside ledger, revenue, workforce, and operating context.
Stripe
LiveBilling
Connect Stripe to Pluvo so finance teams can analyze billing data alongside ledger, revenue, workforce, and operating context.
Xero
LiveAccounting
Connect Xero to Pluvo so finance teams can analyze accounting data alongside ledger, revenue, workforce, and operating context.
Do not see your system? Request an integration
View all integrations[ FAQ ]
Common questions
- What is a business ontology?
- A business ontology is a structured model of what exists in your business (customers, contracts, products, entities), how those things relate, and what your terms mean. In Pluvo it is the context layer every answer, workflow, and report computes against.
- How is an ontology different from a data model or schema?
- A schema describes how one system stores data. The ontology describes how your business works independent of any system: the meaning of the objects and the relationships between them, consistent even when tools change.
- Do we have to build the ontology ourselves?
- No. Pluvo constructs it from your connected systems and your existing definitions; your team reviews and refines it rather than starting from a blank page.
- What happens when a definition changes?
- Definitions are versioned. When one changes, affected metrics recompute, downstream reports are flagged, and the history of what was defined when is preserved.
- Why do AI agents need an ontology?
- Agents fail on context, not intelligence. With an ontology, the relationships are already mapped and the meaning already defined, so an agent can reason over a model of your business instead of guessing from fragments.
See your business, modeled
Book a demo and watch Pluvo assemble the context layer from your own systems.