State Machines

State Machines gives AI agent teams a way to develop and test against realistic clones of the enterprise apps their customers actually run on. The platform exposes local, stateful APIs that behave like Salesforce, SAP, Workday, Zendesk, ServiceNow, Jira, Slack, HubSpot, Google Workspace and other production systems, so an agent can create a lead, update an account, close a deal, open a support ticket or post an invoice and have that state persist across requests the same way it would in a customer tenant. The launch matters because agent evaluation has been caught between two poor options, either pointing tests at real production systems with the associated risk and rate limits, or writing thin mocks that never reflect how enterprise software actually behaves. State Machines is positioning itself as the first infrastructure layer built specifically to spin up those enterprise environments on demand, with thousands of isolated instances running in parallel so the same scenario grades identically every time, which is what CI pipelines and scoring harnesses require. For anyone shipping a vertical or workflow agent that touches systems of record, the pitch is concrete. Instead of maintaining your own sandbox tenants across a dozen SaaS vendors, you get one set of stateful APIs to build against, run regressions on, and score agent behavior with before it ever reaches a real customer account.