What is Forsy
Forsy is a data infrastructure platform designed to capture real AI agent workflows. It provides authentic human signal from these workflows for the purpose of training and monetization.
Features of Forsy
- Native Capture: Tracks agent actions in real-time as they work, avoiding reconstruction.
- Full Coverage: Captures everyday tasks to specialized workflows across all domains.
- Trade Agent Data: Facilitates a market for discovering, licensing, and selling authentic agent data.
- High Fidelity: Built for teams developing more capable and reliable AI agents.
- Integration: Works across various AI agents, providing a unified engine for trajectory data.
Use Cases of Forsy
- Training AI agents with real-world workflow data.
- Monetizing captured AI agent workflows.
- Developing more capable and reliable AI agents.
- Participating in an agent data economy where data is discovered, licensed, and sold.
FAQ
Q: What kind of data does Forsy capture? A: Forsy captures authentic human signal from real AI agent workflows.
Q: How is the data captured? A: Data is tracked in real-time as agents work, not reconstructed afterward.
Q: What is the purpose of capturing this data? A: The data is used for training AI agents and for monetization through a dedicated market.
Q: What does 'Agent Data Economy' refer to? A: It refers to a market where authentic agent data can be discovered, licensed, and sold.
