Flowity AI is an AI automation platform for B2B SaaS and marketing companies, focused on identifying revenue leakage points by analyzing signals from a company's existing data and accelerating the decision-making process.
Purpose: Flowity is designed to solve the problem of delayed discovery of enterprise revenue leakage. It reads signals already generated within the company (such as customers mentioning competitors in support calls, accounts stopping opening release notes, stalled deals, pricing friction, etc.), identifies where revenue is being lost, and helps companies make decisions within seven days rather than discovering problems only at the end of the quarter.
Main capabilities: The platform uses an "Executive Signal Synthesis" approach to integrate and interpret signals scattered across different tools. Each finding (called a Reading) includes an actionable conclusion, the records supporting that conclusion, the degree of consistency of the conclusion, and reviewer information, ensuring that every claim can be traced back to its source. Flowity emphasizes "tools report, we interpret," meaning it does not replace existing tools but instead interprets signals across tools.
How to use: Flowity offers two ways of working—"Read" and "Watch." Users can book through the official website; after booking, they need to fill out a short form taking less than two minutes so that the call can start from the user's specific context. In addition, the platform has a research partner program; participating companies can receive a free 14-day Read service and are required to provide anonymized data in accordance with research ethics.
Applicable scenarios: It is mainly aimed at B2B SaaS companies with 11 to 200 people, helping founders or executives discover revenue risks in advance, such as customer churn, missed expansion opportunities, stalled deals, and pricing friction.
Limitations: The deadline for research partner applications is December 5 (the same day as the grant application submission). Information about pricing, specific platform integrations, technical details, and similar matters is not yet provided in the materials.
