Turn noise
into signal.
FountainData isn't just a dashboard. It's a continuous learning loop that ingests unstructured feedback, extracts engineering specs, and quantifies revenue impact.
How the Engine Works
A fully automated pipeline from raw data to revenue-critical decisions.
Ingest & Normalize
Connects to 50+ sources. Normalizes unstructured text into a unified vector space.
Cluster & Correlate
AI identifies semantic patterns and correlates them with account value (ARR) and churn risk.
Quantify & Act
Outputs prioritized engineering specs with dollar values attached. Pushes to Jira/Linear.
Built for the
Product Operating System.
Revenue-First Intelligence
Context is useful, but revenue is critical. We don't just cluster feedback; we calculate the exact ARR at risk for every bug, feature request, and friction point.
Financial Attribution
Every bug is tagged with the ARR of the customer reporting it. Prioritize by dollars, not loud voices.
Auto-Spec Generation
We don't just find problems. We write the Jira ticket for you, complete with reproduction steps and user quotes.
Enterprise-Grade Security
SOC 2 Type II compliant. Your data is encrypted at rest and in transit. We offer single-tenant isolation for enterprise customers.
Built for Developers
Our API-first approach means you can ingest data from custom sources or query our intelligence engine programmatically.
// Example: Querying the Intelligence Engine
const response = await fountain.intelligence.query({
workspace_id: "ws_123",
query: "What are the top 3 reasons for churn this month?",
filters: {
segment: "enterprise",
source: ["zendesk", "salesforce"]
}
});
console.log(response.insights);
// Output:
// [
// { issue: "SSO Integration", revenue_risk: 450000, confidence: 0.98 },
// { issue: "Reporting Latency", revenue_risk: 120000, confidence: 0.92 },
// ...
// ]