Superframe
Superframe is an AI-native data backbone that unifies go-to-market data from CRMs, product analytics, support tools, calendars, and call recordings into a single, actionable view. The platform processes data deterministically on ingestion to minimize AI hallucination and makes all AI outputs verifiable and auditable, with read-only, encrypted connections to 20+ tools like Salesforce, HubSpot, PostHog, and Gong. It enables revenue teams to build customer health scores, prospecting apps, and account-story synthesis without custom data pipelines or engineering support.
- Sales Technology
- Artificial Intelligence
- Enterprise Software
- Data & Analytics
- Software Only
- Marketing Technology
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Go-to-market (GTM) teams have valuable data spread across CRMs, product analytics platforms, support tools, calendars, and call-recording systems, but these tools do not communicate with each other. AI models hallucinate, and most platforms are closed ecosystems that force users to build and maintain their own data pipelines and intelligence to get any cross-tool insight.
Solution
Superframe provides an AI-native data backbone that ingests and normalizes data from a wide range of go-to-market tools, including Salesforce, HubSpot, PostHog, Zendesk, Linear, and Google Calendar. The platform processes incoming data deterministically on the way in to minimize AI hallucination and makes all AI outputs verifiable and auditable on the way out. Users can configure point-and-click workflows to build customer health scores, prospecting apps, and marketing-message analysis entirely within Superframe. The flexible, open approach positions Superframe as a data layer that teams can use alongside AI coding tools to accelerate their GTM operations. Every visit to Superframe brings users back to what matters, showing where accounts stand and what's worth keeping top of mind with context already brought together.
Target Audience
Superframe targets go-to-market leaders—including revenue operations, sales, marketing, and customer success teams—who need to derive insights from across their existing tool stack without waiting on engineering or data teams.
Features
- Ingests data from 20+ sources: CRM (Salesforce, HubSpot, Attio, Pipedrive), product analytics (PostHog, Mixpanel, Amplitude, Segment), support tickets (Zendesk, Intercom, Plain, Pylon), calendars, email, call recordings, and product management tools (Linear, Jira)
- Deterministic data processing on ingestion minimizes AI hallucination and ensures data integrity
- Verifiable AI outputs that users can easily audit and trust
- Point-and-click interface requiring minimal configuration—no custom data pipelines required
- Read-only by design: never sends emails, changes CRM records, or deletes anything
- Encrypted in transit and at rest (TLS 1.2+, AES-256) with role-based access controls
- Automated account-story synthesis that surfaces active threads, stakeholder transitions, and renewal blockers with dated context