What they do
agents that learn a biopharma team's work and run it inside lab systems
How close to us
3, close
learns how a team works then does the work across several systems; two layers at 2, no checking stated
Wedges
- No wedge fit written yet.
Who buys
- Firm size
- mid-market
- Buyer type
- business
- Role
- head of R&D or clinical operations
- UK
- not known
Their own description (from YC)
We've worked with 130 life science companies, preclinical through phase 3, to deploy AI securely inside the systems they already work in.
Pharma runs on decades of closed software like Benchling, Veeva, Medidata, and SAS. None of it has an AI layer or speaks MCP, so agents cannot reach the systems where the work lives.
Enjamb is that layer. Our agents run on top of existing systems and data, with no migration, and they reach the lab systems and internal tools no other AI touches. They learn how a team works, then do the work in Slack, in Teams, and in the systems themselves, across preclinical research, clinical evidence, trial design, statistical programming, and regulatory submissions.
This is AI tailored for how medicine gets made.
Full teardown
No full teardown yet. On the deep list.
Technical detail
- Slug
- enjamb-labs
- Lens hash
- 179096c479
- Pass
- screen
- Stale
- no