About Enjamb Labs
Enjamb is an AI workforce built specifically for biopharma companies. Rather than a standalone chat product, it operates inside the systems a drug program already runs on, taking work end to end and acting under the identity and permissions of a named person. Agents plan and execute long running tasks across research, biometrics, clinical operations, regulatory affairs, quality and manufacturing, and business operations.
The platform rests on a few connected pieces. Connectors reach Benchling, Veeva, Medidata Rave, CDD Vault, Seqera and Latch, plus the laboratory information management systems and internal tools that generic connector catalogs do not cover. Institutional memory turns decisions, methods and program history into linked pages the whole team can query, so a question such as why a buffer formulation changed returns the traced answer. Routines convert a written procedure into a repeatable process that runs on a schedule. Channels put Enjamb inside Slack, Microsoft Teams and Google Chat so the work happens in the thread, and an MCP server exposes it to Claude or any other client that speaks the protocol. Governance records every agent action against a named principal, inside that person's permissions, producing an audit record.
Pricing is not published. The site has no pricing page and routes buyers to a demo booking form and a login, so the commercial model is quote based and sales led. Prospective customers should expect an enterprise procurement path rather than self service signup.
Enjamb is backed by Y Combinator and describes its focus as domain specific AI for the teams running drug programs, with a dedicated security page covering how agent actions are scoped and recorded.