Superframe is a go-to-market data platform that unifies CRM, product analytics, support tickets, and AI call records into a single, queryable backbone. It enables revenue teams to build custom health scores, prospecting apps, and messaging insights without manual data pipelines. The platform emphasizes deterministic data processing and verifiable AI outputs for trustworthy, auditable intelligence.
Funding
Funding not disclosed
Founders
Product
Problem
Go-to-market teams struggle to extract value from data scattered across disconnected tools like CRMs, product analytics, support platforms, and call recording systems. Building custom pipelines to unify this data is slow, expensive, and often requires engineering resources that revenue teams don't have. Existing tools also fail to provide trustworthy AI outputs, making it difficult to act on insights with confidence.
Solution
Superframe provides a unified data backbone that connects go-to-market tools—including Salesforce, HubSpot, PostHog, Zendesk, and Granola—into a single, queryable platform. It lets revenue teams build advanced customer health scores, custom prospecting apps, and audience-specific messaging insights through a point-and-click interface with minimal configuration. The platform processes data deterministically on the way in and makes AI outputs verifiable on the way out, reducing hallucination risk and ensuring auditability. Superframe is designed as an open, flexible layer that supports a multi-tool GTM environment, allowing teams to work with their data wherever they need it without building their own pipelines.
Target Audience
Primary customers are forward-looking go-to-market leaders, including RevOps teams, sales and marketing leaders, and data-savvy GTM practitioners at mid-market and enterprise companies who need unified, actionable intelligence from their existing tool stack.
Features
- Native integrations with 20+ GTM tools including Salesforce, HubSpot, PostHog, Mixpanel, Zendesk, Intercom, Linear, Jira, Gmail, Outlook, and AI call recorders like Granola, Fathom, Otter, and Grain
- Point-and-click interface for building custom health scores, prospecting apps, and messaging analysis without engineering support
- Deterministic data processing on ingestion and verifiable AI outputs on the way out to minimize hallucination impact
- Secure, role-based access controls that prevent sensitive email and call data from being broadcast across the organization
- AI features that leverage third-party large language models to generate outputs, with customer inputs and outputs treated as customer content
- Open architecture designed to complement AI coding tools, enabling teams to build their own GTM tools on top of Superframe's data layer