Chatbots vs. agents
A chatbot answers a question. An agent completes a task: it reads a ticket, checks the policy, issues a refund, updates the CRM and notifies the customer. Every step involves choices a real employee would make.
How your data becomes a training environment
AI data companies use de-identified company data to build reinforcement learning environments that mirror real business operations. AI agents practice workflows and decisions inside them (The Next Web). As one buyer put it: "Real business operations involve incomplete information, competing priorities and exceptions that require judgment."
Why your company specifically
- Public data shows what businesses say. Your records show what they do.
- Exceptions and escalations are where agents fail, and your tickets are full of them.
- Specialized industries (property management, HVAC, finance) are underrepresented online.
That's why the market exists. See what it pays.
Frequently asked questions
Why do AI companies want business data?
To train AI agents that do multi-step work. They need real examples of operations, exceptions and judgment calls, which only exist inside companies.
What is a reinforcement learning environment?
A simulated version of a real workflow where an AI agent practices tasks and gets feedback. AI data companies build these from de-identified company data.
- The Next Web — AI data company commits $1bn to buy company data (Oct 9, 2026)