AI labs want to train agents that can work in every kind of business. That means demand for operational data from almost every sector, though some industries have richer records than others.
What changes by industry
- What’s valuable: support logs for SaaS, project hand-offs for agencies, dispatch and quoting for home services
- What’s restricted: client-owned data for agencies and professional firms, payment data for e-commerce
- Who to talk to: micro1 states it targets operationally mature companies with 30+ employees; Polyshares states it accepts any company with real operating history
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SaaS companiesSaaS companies hold some of the most useful data for AI agents: support tickets, engineering discussions, CRM history and product docs. What to include and exclude.AgenciesMarketing, creative and dev agencies have rich project histories, but much of their data belongs to clients. What an agency can license, and what it can’t.E-commerceOnline stores generate support, fulfillment, merchandising and supplier data. What e-commerce brands can license to AI labs, and how to handle customer data.Home servicesSolar, roofing, HVAC and other home services companies run on quoting, scheduling, sales calls and job records. What they can license to AI labs and how.Professional servicesLaw, accounting, finance and consulting firms hold scarce expert reasoning, but heavy client confidentiality. What these firms can license, and what’s off-limits.Startup shutdownsStartups that are winding down are licensing their Slack, email and Jira history to AI companies. How it works, what it pays, and what to do before you delete anything.