A large enterprise is not a clean task list. It is people, systems, machines, rules, exceptions, and judgment calls interacting every day.

AI agents can now take action, but action alone is not useful. They need to understand what the work affects, what constraints matter, when tradeoffs are acceptable, and when humans should stay in control.

Production is the wrong classroom. Real customers, employees, inventory, equipment, and service levels should not be the first place an autonomous worker discovers how the business works.

Faraday Cage builds RL environments from the systems and knowledge that already run the business. Inside those environments, autonomous workers practice workflows, face disruptions, learn handoffs, and prove readiness before they are deployed.

We believe every Fortune 500 will eventually have autonomous workers. Faraday Cage is where they train before production.