Hey YC 👋

We’re Rayan and Maadhav, and today we’re excited to launch Enjamb Labs.

https://youtu.be/5DwdtiLvViM\

TL;DR

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.

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.

The Problem: Pharma’s systems have no AI layer

It costs $2.6 billion and 10+ years to ship a single drug, and most of that isn't the science. It's the work around it, spread across decades of closed legacy systems that don't talk to each other:

• Benchling stores the data
• Veeva holds the documents
• Medidata runs the trials
• SAS does the stats

Agents are finally good enough to do real scientific work. But there's no AI layer on these systems, and no MCP to plug an agent into where pharma's data and work actually live.

So, we built that connection layer we wished existed.

What We Offer: Agents that run on top of pharma’s existing systems

Enjamb invented the fastest way to run a drug program: a single agentic workspace that unifies the evidence, analysis, and regulatory work.

Our agents:

• Synthesize up-to-date clinical evidence from the literature and real-world data to pinpoint the right endpoints and patient populations
• Design trials and run the statistical programming behind them, including SDTM, ADaM, TFLs, and QC
• Draft and audit regulatory documents like INDs, protocols, SAPs, and NDAs

— all in one auditable workspace, with the context carried end to end.

The results: Enjamb generates an FDA submission package in 48 hours instead of 8 months, with 23x fewer errors than GPT-5.5. And 98% of the datasets it produces pass Pinnacle 21, the FDA's standard, on the first pass, before a human even reviews.

And it all runs in the browser: full Word, Excel, and PowerPoint editors, a Python and R compute environment, 100+ scientific integrations, and 50+ fine-tuned models for in-silico validation. No setup.

Our Story: Two Researchers Who Lived the Problem

We're Rayan (ML/Bio researcher, first-author paper @ JMIR, presented @ SOT and ISCB, beat SOTA by 20%) and Maadhav (ex-Dell AI Lab, ex-Broadcom R&D).

We kept hitting the same wall in research: the science was the easy part. Everything around it, the evidence, the analysis, the documents, was fragmented, manual, and disconnected, and the context died at every handoff.

So we built what we always wanted: one workspace where agents carry the context across the entire drug program.

If no one's going to build it right, we will.

Get Started

• See Enjamb at enjamb.ai
• Or reach us at [email protected] for a demo