Where drug teams run their entire program, discovery to FDA approval
Enjamb runs the entire drug program for biopharma teams, from discovery to FDA approval. Pharma runs on decades of closed legacy systems like Benchling, Veeva, Medidata, and SAS, with no AI layer and no MCP to connect agents to them.
So we built that connection layer in one platform. Our agents run on top of their existing systems and data, with no migration, and do the work across the whole program: clinical evidence, trial design, statistical programming, and regulatory submissions.
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.
Total raised
$650K
Last stage
Pre-seed
Investors
Maadhav Deekshitha
Maadhav is an AI researcher. He was the youngest engineer at Dell's AI Lab, shipping AI CPU optimization on supercomputing infra,. He also worked at Broadcom R&D developing SOTA AI ASICs. For fun, he built a Rocket League AI trained on 1M+ sessions that beats the top 1% of players.
LinkedInRayan Mubarak
ML/Neuroscience researcher with first-author papers at SOT and ISCB. At 17, published a first-author cancer ML paper in JMIR that beat SOTA models by 20%. BS from University of Florida.
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.