GoalfyData enables teams to convert transient AI agent outputs into persistent, governed datasets with defined rules and relationships. These living datasets power automated reporting, interactive AI dashboards, and focused data applications that automatically stay current through managed refresh cycles. It provides a shared data context across people, agents, and devices, with verified integrations for platforms like Claude, Codex, and MCP.
In the AI & ML space, GoalfyData takes a focused approach. It focuses on maintaining persistent, reusable, and governed datasets from one-off AI agent outputs across multiple agents, teammates, and sessions. It is built as a B2B product for AI developers and engineering teams. GoalfyData follows a freemium model. It runs on the web.
Behind GoalfyData is GoalfyData, and it first shipped in 2026. Development happens publicly on GitHub with 169 commits in the last 90 days. Among its 5 catalogued features are Shared Data Context, Automated Reporting, and AI Dashboards. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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