Enjamb Labs

The AI Workforce for Biopharma

3.3Score#282 of 999 agents#20 of 52 in Coworker (general purpose)

Why it ranks #282

Enjamb Labs, an AI coworker (general purpose) from YC Sp26, ranks #282 of 999 AI agents and #20 of 52 in Coworker (general purpose), with a score of 3.3 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 2 × 30% 0.6
Scale 1 × 30% 0.3
Momentum 6 × 25% 1.5
Autonomy 6 × 15% 0.9
= 3.3

Proof
Do customers use it? 30% of the score
2
Claims a customer count.
- +2
  A customer count
  “In just 3 weeks since launch, we're already being used by 500+ employees at top pharma companies, including Johnson & Johnson, AbbVie, Bristol Myers Squibb, Merck & Sanofi.”
  Launch YC post · 28 May 2026 · 2 claims
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
1
2 people.
- +1
  2 people on its YC page2 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
6
Shows a recent launch, a new claim and a new batch.
- +3
  Launched in the last 6 monthsEnjamb - The AI Workforce for BiopharmaLaunch YC post · 28 May 2026
- +2
  A new traction claim
  “In just 3 weeks since launch, we're already being used by 500+ employees at top pharma companies, including Johnson & Johnson, AbbVie, Bristol Myers Squibb, Merck & Sanofi.”
  Launch YC post · 28 May 2026
- +1
  New: YC Spring 2026
Not found: open roles on YC (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 88% likely
- Finishes whole tasks: 48% likely
- Calls itself an agent: 94% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Enjamb Labs

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.