Pelagic scales agent redeployment using epistemic AI. Get an agent working once, then redeploy it everywhere.
An agent that works in one environment is not automatically a scalable product. Today, each new environment is a manual redevelopment project.
Pelagic turns agent redeployment into a repeatable system. Start with an agent that works at one customer, then branch it for the next.
Start from proven agents. Don't rebuild from scratch for each customer.
Discover the differences you didn't know would matter until the agent fails.
Turn discovered failures into reusable tests and fixes for future deployments.
Customer systems and operating data stay customer-owned.