{"id":102105,"title":"Enjamb - Full stack AI Agents accelerating Biopharma R\u0026D","tagline":"Enjamb is an agentic platform for biopharma R\u0026D that runs the entire drug program, from synthesizing clinical evidence and designing trials to drafting regulatory documents and statistical programming, cutting months off the path from preclinical to clinic and clinic to market.","body":"Hey YC 👋\\\n\\\nWe’re Rayan and Maadhav, and today we’re excited to launch [Enjamb Labs](https://www.enjamb.ai/).\n\n\u003chttps://youtu.be/5DwdtiLvViM\u003e\n**TL;DR**\n\nEnjamb puts agents across the entire drug program, from preclinical research through clinical trials and approval. Our agents synthesize up-to-date clinical evidence, draft and audit regulatory documents, and run the statistical programming behind them, all in a single auditable workspace that cuts months off the path from preclinical to clinic and from clinic to market.\n\n**The Problem: Making drugs is hard**\n\nIt costs $2.6 billion and 10+ years to ship a single drug. Shipping a drug isn't bottlenecked by any single task. It's bottlenecked by the handoffs between them, where context dies.\\\n\\\nHypothesis to clinic touches bioinformatics, experiments, protocols, regulatory, and patient selection, and today each lives in a different tool:\n\n* Benchling stores the data\n* Consultants run the landscape\n* JMP does the stats\n* Someone else drafts the IND\n\nThis adds up **_fast_**: $500K and 6 months per asset diligence, 76% of protocols amended (median Phase III fix: $535K), weeks of waiting on a single analysis, and 79% of FDA warning letters tracing back to the bench.\n\n**So, we built the platform we wished existed.**\\\n\\\n**What We Offer: Agents That Run the Entire Drug Program**\n\nEnjamb invented the fastest way to run a drug program: a single agentic workspace that unifies the evidence, analysis, and regulatory work.\n\nOur agents:\n\n* Synthesize up-to-date clinical evidence from the literature and real-world data to pinpoint the right endpoints and patient populations\n* Draft and audit regulatory documents like INDs, protocols, SAPs, and NDAs\n* Run the statistical programming behind them, including SDTM, ADaM, TFLs, and QC\n\n— all in one auditable workspace, with the context carried end to end.\\\n\\\nAnd 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.\n\n\\\n**Our Story: Two Researchers Who Lived the Problem**\n\nWe're **Rayan** (ML/wetlab researcher, first-author papers @ SOT and ISCB) and **Maadhav** (ex-Dell AI Lab, ex-Broadcom R\u0026amp;D).\\\n\\\nWe 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.\\\n\\\nSo we built what we always wanted: one workspace where agents carry the context across the entire drug program.\n\n**If no one's going to build it right, we will.**\\\n\\\n**Get Started**\n\n* See Enjamb at [enjamb.ai](http://enjamb.ai)\n* Or reach us at [rayan@enjamb.ai](mailto:rayan@enjamb.ai) for a demo\n\n![uploaded image](/media/?type=post\u0026id=102105\u0026key=user_uploads/3164441/9839d8af-27a3-4fd0-b6af-c82405bc817f)\n\n","slug":"QYr-enjamb-full-stack-ai-agents-accelerating-biopharma-r-d","created_at":"2026-05-28T18:48:05.818Z","updated_at":"2026-06-07T01:17:39.580Z","total_vote_count":17,"url":"https://www.ycombinator.com/launches/QYr-enjamb-full-stack-ai-agents-accelerating-biopharma-r-d","share_image_url":"https://www.ycombinator.com/media/?type=post\u0026id=102105\u0026key=user_uploads/3164441/9839d8af-27a3-4fd0-b6af-c82405bc817f","company":{"id":31549,"name":"Enjamb Labs","slug":"enjamb-labs","url":"https://www.enjamb.ai","logo":"https://bookface-images.s3.amazonaws.com/small_logos/72c48d60b66c3872f55fda2ba7dbab9415312dd4.png","batch":"Spring 2026","industry":"B2B","tags":[],"search_path":"https://bookface.ycombinator.com/company/31549"}}