Enjamb Labs
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
Y Combinator
yc-company-directory #401Enjamb 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
sourceEnjamb Labs is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Enjamb Labs
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Lavo Life Sciences
match 72Lavo Life Sciences runs simulations of drug molecules on computers. Pharma companies use these simulations to guide their experiments and ultimately save time and money in the lab. This will de-risk and expedite clinical trials and FDA approval.
shared extracted concept terms: pharma; shared product terms: runs, drug, fda, approval; shared product theme: health and clinical care; shared affiliation: Y Combinator
burnt
match 68Food Supply Chain companies have been using legacy ERPs for decades. Everyone knows these are necessary evils that essentially run the business but take up a lot of operational capacity. They are not about to just rip and replace their existing system that runs their whole business with a system that takes years to implement. Imagine if they could implement AI that runs the ERP for them, in weeks? Burnt’s building an agentic OS for the Food Supply Chain with AI Agents for each department. Our AI
shared product terms: legacy, decade, run, just; same category: AI agents; shared affiliation: Y Combinator
Convexia
match 65An AI-maximalist pharma platform. We use agents to buy drugs, run clinical trials, and sell for a profit. 10x faster and 20x leaner than incumbents. Sourcing Agent: Mines public/private databases and unstructured global data to surface overlooked preclinical candidates. Scientific Agent: Runs comp bio models (ESM-3, RFdiffusion, Boltz-2, AlphaFold) to assess safety and efficacy in silico. Commercial Agent: Analyzes FDA incentives, pricing dynamics, TAM, competitive landscape, and payer alignment
shared product terms: pharma, drug, run, clinical; shared product theme: health and clinical care; same category: AI agents; shared affiliation: Y Combinator
PostEra
match 56PostEra is building a modern 21st century biopharma. We're using our advances in machine learning to accelerate Medicinal Chemistry and bring more cures to patients. PostEra advances small molecule programs through partnerships with biopharma while also advancing its own internal pipeline. We've raised $26M from top investors and closed $1Bn in AI partnerships, signing multi-year agreements with Amgen, Pfizer and the NIH. PostEra also launched and led the world's largest open-science drug discov
shared extracted concept terms: biopharma; shared product terms: drug, program, biopharma, clos; shared product theme: health and clinical care; shared affiliation: Y Combinator
Punchcard
match 52Punchcard is a system designed for assurance engagements like financial statement audits and SOX control programs. Purpose-built for selecting, requesting, and testing audit evidence. Punchcard leverages assertion-driven AI agents that perform testing procedures from natural language instructions—just like an audit associate. By combining critical workflows such as audit planning, client document requests, evidence testing, and workpaper documentation into one seamless platform, Agentive streaml
shared product terms: program, system, like, evidence; same category: AI agents; shared affiliation: Y Combinator
ReasonBlocks
match 38ReasonBlocks is the runtime layer that makes AI agents cheaper and more reliable. We correct agent reasoning and compress tokens mid-run, with gains compounding across runs. On SWE-Bench pro we have seen a 52% token reduction and 42% accuracy lift.
shared extracted concept terms: layer; shared product terms: layer, run, runs; same category: AI agents; shared affiliation: Y Combinator