Delineate
Delineate is building AI agents to design better clinical trials faster. This is a $10B dollar market, where saving even 1 day along the process is equal to $1-5M in revenue potential. We process existing clinical trial research into specialized datasets saving scientists months of effort. Delineate is working with two of the largest pharmaceutical companies. With one of our customers, we are helping them get to the next phase of trials faster by creating the largest dataset on a drug class ever
Y Combinator
yc-company-directory #5838Delineate is building AI agents to design better clinical trials faster. This is a $10B dollar market, where saving even 1 day along the process is equal to $1-5M in revenue potential. We process existing clinical trial research into specialized datasets saving scientists months of effort. Delineate is working with two of the largest pharmaceutical companies. With one of our customers, we are helping them get to the next phase of trials faster by creating the largest dataset on a drug class ever
sourceDelineate 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 Delineate
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.
Baseline AI
match 101The main document in a clinical trial is the study protocol. At large companies, floors of people use the protocol to create the study data collection forms, clinical database design, error checks, analysis code, and data transformation mappings. We use AI to automate the process of creating everything from the protocol, saving not only spend on headcount but also months of time which can translate to up to $27M in direct costs + lost revenue saved for a single phase 3 trial.
shared extracted concept terms: companie; shared product terms: clinical, trial, companie, design; shared product theme: health and clinical care, sales and marketing; shared affiliation: Y Combinator
Ritivel
match 80Ritivel is an AI-native workspace for regulatory and medical writing teams at life sciences companies. Our AI agents draft CTDs, CSRs, INDs, and BLAs in minutes instead of weeks, helping drugs reach patients faster. Every month a drug is delayed from reaching the market costs pharma companies ~$45M in lost revenue and more importantly, delays treatment for thousands of patients who need it. Yet regulatory teams are stuck in a painful, months-long process: synthesizing thousands of pages of clini
shared extracted concept terms: companie; shared product terms: faster, market, proces, revenue; shared product theme: health and clinical care, sales and marketing; same category: AI agents; shared affiliation: Y Combinator
Harbor
match 67Harbor is building an AI-native contract research organization (CRO) for clinical trials. We started with an AI-native system of record for clinical trial data (electronic data capture system), grew the software business to seven trials and ~$187k in contracted software revenue over the next twelve months, then expanded into full-service trial execution and signed our first CRO contract worth $1.93M over three years. Clinical trials consume 45% of all new drug and device development spend. While
shared product terms: clinical, trial, revenue, research; shared product theme: health and clinical care, sales and marketing; shared affiliation: Y Combinator
Strand AI
match 66Strand AI develops foundation models to generate missing bio-data about patients. With this imputed data, pharmaceutical companies can select better patients for their drug trials and shave months from their drug launch timelines. We’ve already trained a multimodal foundation model that integrates spatial biology modalities, beating SOTA at a fraction of the cost.
shared extracted concepts: pharmaceutical companies; shared product terms: better, trial, month, pharmaceutical; shared product theme: health and clinical care; shared affiliation: Y Combinator
Userlens
match 65Companies today are growing faster than ever with smaller teams. We are making it possible for these lean, AI-native companies to manage enterprise deals. Userlens is building the AI customer success manager. Our goal is to be the CSM for every customer at every company. Every $1-5M of new revenue requires another CSM hire. Userlens breaks that ceiling. Our agents research accounts, catch churn before it happens, and drive renewals and upsells like a top-tier CSM would. We're at $307K ARR, growi
shared product terms: faster, 5m, revenue, research; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator
Yap
match 44We're a team of experts dedicated to helping pharmaceutical companies successfully enter and thrive in the Japanese market / 私たちは、海外製薬会社の日本市場参入を様々な形でサポートをするプロフェッショナル集団です。
shared extracted concept terms: pharmaceutical, companie; shared product terms: pharmaceutical, companie, market