RevOS Semantic ModelThe Foundation for Trusted AI
The RevOS Semantic Model brings structure to your business data by unifying sales, marketing, customer success, and revenue operations into a single, governed layer. It replaces scattered spreadsheets and inconsistent metrics with one trusted foundation for analytics, automation, and AI.
Unified Data Architecture: Combines CRM, marketing, product, and support data with built-in connectors and native lake integration
Pre-built Semantic Templates: Get started fast with predefined semantic models for standard objects in your integrated systems—complete with certified KPIs, metrics, and joins
Real-Time Data Sync: Keep dashboards, agents, and workflows always up to date with event-driven actions on fresh data
Single Metric Store: Maintain one reusable, explainable definition for every KPI so business teams, AI agents, and workflows operate from the same logic
AI-Ready Foundation: Built for business teams and AI agents alike—every metric is consistent, explainable, and ready to use
From Noisy Data to Confident Decisions
Built for business teams and AI agents alike, the RevOS Semantic Model ensures every metric and relationship is consistent, explainable, and ready to use. Move from scattered spreadsheets to confident, real-time decisions powered by pre-defined semantic model templates that speed up creation for standard objects across your integrated systems (HubSpot, Salesforce, NetSuite, Intercom, and more).
The Semantic Model functions as a centralized metric store, unifying sales, marketing, customer success, and revenue operations into a single, governed layer with entity modeling and dimensional logic. Define each metric once and reuse it across dashboards, AI agents, activation workflows, and BI tools—mapped to a common business language everyone understands.
With pre-built semantic templates, certified KPIs, and accelerated onboarding, you can customize when ready while maintaining consistency. Every metric change propagates automatically with full version control, ensuring everyone always works with the latest definitions.
Built for Technical Teams
Enterprise-Grade Controls for Semantic Ops
Give data engineers, architects, and RevOps builders the tooling they need to ship trustworthy models with confidence.
Versioning, CI/CD & Revision Safety
Treat semantic assets like code with Git-backed versioning, automated CI/CD checks, CLI and Terraform provider provide complete revision safety for every metric change.
Predictable Business Alignment
Map a common business language directly to governed data entities so every stakeholder consumes a single definition of truth.
Automated Data Lineage
Trace every metric, dimension, and join back to its source systems with click-through lineage for auditability and faster root-cause analysis.
Reusable Metric Store
Publish certified metrics once and reuse them across dashboards, AI agents, activation workflows, and downstream warehouses without rework.
Enterprise Guardrails
Apply environment isolation, role-based access, and policy-driven approvals to keep technical teams in control while moving fast.
Before, we had data everywhere but struggled to put it into action. With the RevOS Semantic Model, we finally speak one data language, enabling highly targeted and personalized outreach that truly resonates. The impact is clear—our CSMs are booked solid with relevant customer conversations that drive adoption and lasting value.
Other Product Features
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Frequently asked questions
Ready to transform your data?
Start your semantic model journey today and unify your revenue operations with a single source of truth.