Biotech Startups funded by Y Combinator (YC) in the San Francisco Bay Area 2026

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. Biotech R&D is radically transforming our world, but to move at the new speed of science, scientists need better technology. Benchling’s mission is to unlock the power of biotechnology. The world’s biotech leaders and innovators use our R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.

Ditto Bio discovers drugs for autoimmune diseases by harnessing parasite biology. Viruses, ticks, and worms have experimented over millions of years to create proteins that control the human immune system. We use AI to identify these proteins and engineer them into next-generation autoimmune therapies.

Designing novel regulatory DNA (e.g., enhancers and promoters) to program precise therapeutic gene expression patterns - for diseases like cancer, CNS disorders and more. We're building the largest proprietary dataset of synthetic regulatory sequences across diverse cell-states.

Strand 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.

Our mission at 10x Science is to enable biopharmaceutical development to keep pace with AI-powered drug discovery. Thanks to AI, the front end of drug discovery is flooding the pipeline with new drug candidates. However, current solutions for drug development are unable to resolve drug complexity and cannot keep up with modern demand. Our platform is the unlock for this bottleneck. By applying modern AI to the development stage, specifically to protein characterization and quality assessment, we provide an end-to-end solution to dramatically speed up and scale up the preparation of candidates for the clinic. Our team is composed of Stanford University researchers from a Nobel Laureate's lab with 18+ years of collective domain expertise, 47+ scientific publications, and a 2x YC Founder. We move at the highest velocity and are positioned to lead the next-generation of modern AI drug development.

We’re building AI agents that speed up drug trials by automating the manual consolidation and document prep required for every IND submission. Today, biotechs spend months stitching together reports from contractors and internal teams just to file and get to their first-in-human trial.

Anto is building a foundation model for microbial communities, making the gut microbiome computable for the first time. We predict drug toxicity and efficacy across diverse populations and fix drugs so they work for everyone — solving the hidden root cause of most drug failures. Founded by Arvid (Broad Institute of MIT and Harvard; Nature-published researcher who pioneered quality-aware, goal-directed sparsification) and David (Harvard Medical School Gastroenterology, J&J), second-time founders who published the breakthrough at leading machine learning AI conferences and Nature.

Blank Bio builds foundation models that understand RNA, the language of life. Our model powers applications across the entire R&D pipeline, from designing better drugs to running smarter clinical trials. Our first model is state-of-the-art in mRNA property prediction. It simulates costly experiments, helping partners design more effective mRNA medicines faster and cheaper. Our open-source models are being used by Sanofi & GSK. We’re also collaborating with the Arc Institute to bring our RNA embeddings into the next generation of virtual cell models. mRNA design is just the beginning. As the model improves, we’re extending to applications like target ID, novel biomarker discovery, patient stratification, and more. We’ve spent decades applying machine learning to biology across academia (PhDs at the University of Toronto) and industry (Recursion, Deep Genomics, Amazon). Contact us to learn more: founders@blank.bio

Today, it takes months to understand how drugs perform in the real world, delaying safety insights, slowing approvals, and costing lives. Frekil turns that months-long process into minutes, with full auditability and regulatory-grade rigor. Frekil automatically generates real-world evidence of drug performance from EHR and claims data. It acts like an AI Biostatistician that understands medical ontologies and statistical methods, running complex analyses on autopilot. We help Pharma, Biotech, CROs, and Clinical Researchers to run RWE studies 100x faster and produce publication-ready retrospective studies and FDA/EMA-ready evidence packages with transparent lineage in minutes.

The intelligence layer behind modern life sciences engagement, enabling compliant, continuous conversations across HCPs, patients, and field teams

We use AI and high-throughput mouse studies to discover therapeutics that modify neural activity in the brain. The initial focus is on epilepsies associated with autism and Parkinson’s disease with the potential to expand to any neurological disorder underlined by a dysfunction in neural activity. Our R&D is guided by AI models trained on high-density multimodal mouse data generated in-house. We are 3 Oxford-trained neuroscientists supported by an experienced SAB from Harvard, Science Corp (ex-Neuralink), EPFL, Meta, and UCL. In 1.5 months since landing in SF, we went from nothing to (1) opening and operating an animal lab in South SF, (2) obtaining a proof-of-concept in mice, (3) building a multimodal AI model that directs our screening approach and (4) submitting two provisional patents; all while utilizing less than 50% of our YC funding. 

Reticular helps pharma companies discover drugs with AI models like AlphaFold by making them steerable, just like you can prompt LLMs. Today, limited validation data means companies spend millions on failed experiments trying to steer these models through trial and error. We’re piloting our AI interpretability technology with early-stage biotechs and scaling rapidly. Just a week after our pivot, we identified the first interpretable features ever found in protein models, allowing precise control over biological functions. Nithin and John met competing in Biology Olympiads before spending 4 years as roommates at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.

Finding new cures requires seeing what and where the abnormal molecules are in a diseased tissue, but current tools see less than 1% of those molecules. Biocartesian combines microscopy and new chemistries to see 50X more, offering unprecedented insights into disease biology and new therapies.

The 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.

Kopra Bio makes genetically engineered viruses that teach your immune system to kill cancer using tech we developed at UCSF. We’re making the next Keytruda ($25B/yr cancer drug blockbuster) starting with the most aggressive form of brain cancer, glioblastoma. In the most challenging brain cancer model, we improve survival from 0% with the current FDA approved treatment to 90% with our treatment.

We are building the next generation of deep-learning models for enzyme design to slash the cost of chemical manufacturing. The $6 trillion chemical industry is flawed: It produces 20% of industrial greenhouse gases, and is responsible for 15% of global energy usage. Enzymes offer a far more sustainable alternative to chemical synthesis and have already revolutionised how a select few chemicals are produced. The problem is each enzyme takes years of trial and error to develop. Our enzyme models learn the principles of catalysis, allowing us to design enzymes for each reaction, in days not years.

1849 bio designs microbes enabling cheap metal extraction allowing miners to unlock value from low quality copper and gold ores. Surprisingly, the mining industry is one of the largest scale users of biotech in the world with biomining processes accounting for ~1% of global copper production. Biomining is ultra-low cost, running around ~$1/ton of ore vs ~$7/ton for conventional processes. Unfortunately, while biomining is cheap, it can’t be applied to over 80% of copper ores, leaving vast resources without profitable extraction methods. An estimated ~$800B of copper sit today in waste materials and stockpiles with negative unit economics. While a great deal of effort has been spent on optimizing microbial metal extraction processes, very little effort has been spent on optimizing the microbes themselves. To change that, we’re creating new biotech tools and platforms applied directly to the types of biology most relevant to miners. This enables us to develop new microbes and tackle some of the most difficult problems in biomining, unlocking billions in value from unprofitable resources while being more environmentally friendly than conventional processes. We’re world class microbial engineers. We met while doing our PhDs in synthetic biology, where we spent our time applying and developing the most advanced bioengineering technologies to engineer living cells. 

Angstrom AI builds GenAI-based molecular simulations to substitute wet lab experiments in the pre-clinical drug development pipeline. We are a team of 2 PhD's and 2 Professors from the University of Cambridge who decided to start a company together after we realised how to combine breakthoughs in our research in quantum-accurate models of physics and generative AI models. Our Biotech/Pharma clients can verify the efficacy and safety of new drug candidates using our computer simulations, which match the accuracy of wet lab experiments, but are over 100x faster. We achieve this accuracy by constraining our genAI-based simulations to obey the laws of physics, avoiding the hallucinations seen in other GenAI technologies. Since joining YC, Angstrom AI has developed the first physically accurate gen-AI based simulation of multiple molecules interacting. We have published the first molecule water solubility results with accuracy within the error range of wet lab experiments. We have also kicked-off a 150K pilot project with a pharma company to apply our tech to estimating solubility in their drug development pipeline.

At Undermind, we're building a search engine that can handle extremely complex questions. It’s geared at experts, like research scientists and doctors, who need to find very specific resources to solve high-stakes problems. We’ve rebuilt search from the ground up to address this. Our new approach employs high-quality LLMs to adaptively explore a database, mimicking how a human researcher carefully discovers information. This approach dramatically outperforms (by 10-50x) traditional keyword search and other modern AI-based retrieval methods. Our first target users are the 50 million researchers searching for scientific literature on PubMed and Google Scholar every month. We’ve have paying users across fields like medicine, ML, biotech, finance, and more.

Proteins power everything from the cells in your body to creating materials you rely on every day—but until now, we’ve been forced to discover their functions by trial and error. Designing a new therapeutic can take decades and billions of dollars, and even our best industrial catalysts work at a snail’s pace compared to their theoretical optimums. Anthrogen is changing that. By training massive AI foundation models on protein sequences and structures, we’ve unlocked the ability to generate—on demand—completely novel molecular machines with atomic-level precision. Simply describe the function you need, and our platform imagines the peptide or protein that will deliver it. We're building models to speed up billions of years of evolution into the span of an afternoon's worth of compute. The result? New-to-nature therapies, ultra-efficient catalysts for sustainable manufacturing, and a whole new frontier of molecular innovation—designed as precisely as any cutting-edge aircraft or microchip.

Design, simulate, and test your proteins 100x faster with the end-to-end no-code platform for protein engineering. Powered by Amina, our AI agent. With Amina, one protein engineer can do the work of 10. Describe what you want to achieve and Amina will handle everything else – from research and design to simulation, folding, docking, and protein characterization. It asks clarifying questions if needed, intelligently understands and performs the task, and analyzes your results within the context of your project.

Granza Bio is building on the discovery of a previously unknown cytotoxic mechanism in T cells: supramolecular attack particles (SMAPs, Science 2020). This biology reveals a new modality through which cytotoxic lymphocytes deliver persistent, high-intensity killing.

Velorum Therapeutics is developing breakthrough medicines by unlocking the biology of heme.

We are combining synthetic biology and artificial intelligence to make cancer detection as easy as a pregnancy test. Cleancard's mission is to bring lab-grade diagnostics into the comfort of your home. Our novel method enables robust diagnostics and biomarker tracking from the urine. We are currently developing fully at-home, 30-minute tests for cancer using this methodology. We are constantly expanding the number of conditions we can detect from a single sample with our platform technology.

Gleam automates data entry for clinical research sites.

Pests and pathogens cost the world hundreds of billions of dollars every year. Existing technologies like agrochemicals are no longer working. Ohmic Biosciences uses protein engineering to design resistance genes for crops that are robust to pathogen evolution.

Nanograb is a computational drug discovery company that uses AI to generate the best combination of binders to treat different diseases. Our product allows drugs to be targeted to very specific areas of the body.

Miracle is the control room for clinical trials. Our platform consolidates data from multiple trial systems into real-time dashboards, delivering automated insights that empower clinical-stage biopharmaceutical companies to streamline operations, reduce manual workflows, and accelerate data-driven decision-making. By transforming complex trial data into actionable insights, Miracle helps biopharma teams speed up clinical trials, and ultimately, improve patient outcomes.

Diffuse is building generative AI for protein design. Our mission is to build AI systems that engineer new and useful proteins with unprecedented control and accuracy. Our team has been behind breakthroughs in AI protein design for the past 7 years, including the first experimental validation of AI-generated proteins and diffusion models for protein structure and sequence.

Synvivia applies chemical control over cell behavior. This allows us to optimize biomanufacturing of high-value biopharmaceutical products.

Ansa Biotechnologies is developing a new way to make DNA that will be faster, cleaner, and more accurate than existing methods. Currently, DNA is manufactured via a chemical method that has remained mostly unchanged for 35 years. Our enzyme-based approach promises to dramatically accelerate innovation in biological research and biotechnology, including therapeutics, diagnostics and biomanufacturing.

iollo is building Quinn, an AI scientist that automates the entire drug development lifecycle, from target discovery to commercial strategy. Quinn synthesizes scientific, clinical, and market data to execute complex R&D workflows in hours that typically take pharma teams years.

GEn1E Lifesciences is a Clinical-stage, multi-target company with a unique AI platform. We develop novel, next-generation, immunomodulatory therapies for rare & inflammatory diseases with no effective treatments. Our team is supercharging the drug development cycle by applying AI to multiple-mechanism-of-action protein targets and their natural platform capabilities—creating novel therapeutics at an unprecedented pace. Our AI platform has enabled us to develop a purpose-built therapy for ARDS to reduce its $20 billion cost on society (just in the USA). GEn1E has built a rich pipeline of 21+ novel and selective immunomodulators and has plans to accelerate 2 additional devastating diseases (beyond their lead indication) to IND in the next 12 months. Our AI platform enables tremendous pace and capital efficiency as demonstrated by our progress in ~2 years with seed capital—a stark contrast to the typical spend of $100M+ and 7+ years exhibited in the pharmaceuticals / biotech industry. With ~90% of rare diseases having no therapeutic treatment at all, GEn1E is taking a giant swing that will hopefully bring life-saving therapies to the lives of patients in need. The team at GEn1E has decades of experience in drug development and machine learning. We graduated from YCombinator and Stanford-StartX in late 2019. We are based in Palo Alto, CA.

Our compounds disrupt the metabolic and inflammatory triggers in both cancer and quasi-cancerous cells in the tumor microenvironment. By impacting multiple cell types, we are enabling effective, lasting cancer treatments.

We build software to manage, analyze, and optimize bioprocessing data. Our initial customers are bio-industrial companies, who produce various products in bioreactors.

Engage Bio is developing mRNA immunotherapies to defeat cancer. Our founders have deep experience in immunotherapy development, including four drugs in the clinic, and in building mRNA therapeutics platforms. Our approach is to provide cancer cells with instructions to make and gradually release our drugs within solid tumors. This local therapy allows us to eliminate tumors while sparing healthy distant tissues.

Rosebud Biosciences accelerates drug development by screening drugs against organoids (micro-organs) that have the same gene mutations as the patients. We partner with therapeutics companies to screen their drugs, and we perform our own drug discovery for rare diseases that have no existing treatments. Our organoids are also fetal-like and enable discovery of novel drug targets for pediatric diseases. This technology was validated at Stanford, published in a prestigious journal, and has already led to the discovery of a drug target in a pediatric heart disease that could not have been found using traditional disease models.

Alga Biosciences is a fast-moving startup focused on transforming the agricultural industry. Our mission is to make an immediate, dramatic impact on global methane emissions produced by enteric fermentation in partnership with the cattle industry. We believe in leveraging biology to tackle the world’s biggest problems.

We make oral drugs to treat and prevent viral infections - like COVID-19.

We develop AI models & new assays to create functional, therapeutic proteins.

We're making every therapeutically valuable emotion available on demand in pharmaceutical form. Our Osmanthus platform is an ensemble of AI models that synthesize the world’s largest datasets of psychoactive pharmacology and phenomenology, quantitatively pinpointing the combination of neurotransmitter receptor activity that underlies various emotional as well as cognitive and perceptual states. Our lead program MSD-001 is designed to be rapid-acting and produce heightened emotional and cognitive flexibility without hallucinations. MSD-001 is currently in human trials, and will be the base ingredient for multiple drug combination "emotions in a bottle" such as empathy, awe, clarity, or beauty.

Our mission -To ensure current and future generations have access to clean soil, water & air. -To protect and restore earth's beautiful and diverse ecosystems. -To undo the harm of industrial activity on the planet and ensure future industrial activities are more sustainable. Our research -We develop new bio-based solutions that break down and remove toxic chemicals from the environment.  We also develop bioreactor based solutions which remove toxins from industrial production pipelines, ensuring contaminants are never released into the environment. -To do this, we've partnered with Nature. Specifically, we have harnessed the power of one of Nature's smallest but most powerful technologies: enzymes. Enzymes are everywhere. They break down the food in your stomach, remove dirt from your clothes, and make our beer. At BluumBio, we look for enzymes found in bacteria, algae, plants and other living organisms that naturally degrade toxic chemicals. We then make these enzymes work better in the lab and come up with develop new applications for these technologies.

Catena’s technology lets us attach any two proteins together using an enzyme and the native amino acids tyrosine and cysteine within target proteins. It is a true platform technology because it enables the joining of any two soluble proteins together with minimal engineering and without restrictions due to protein size or complexity. Our work has already been used to modify cancer specific antibodies, CRISPR proteins and even cell surfaces. Our ability to produce modular protein therapeutics in a fraction of the time allows for true library creation across the therapeutics spectrum from oncology, vaccines, inflammatory disease and beyond.

We are developing a drug to increase metabolism and burn calories without exercise. Obesity and type 2 diabetes have reached epidemic proportions. There are 2.2B overweight people and 500M people with type 2 diabetes worldwide, and these numbers increase drastically every year. Existing drugs are not effective enough to reverse the trend. Our drug can solve this problem, because it addresses the root cause of metabolic disorders – the imbalance between caloric intake and expenditure. Our drug will target mitochondria – the powerhouse of the cell – to generate heat. This approach has been proven to fully reverse obesity and type 2 diabetes in animals. However, therapeutic application for humans was impossible, because mitochondrial heat production could only be induced by highly artificial methods with side effects. This changed after our recent breakthrough discovery of the protein that mitochondria naturally use to generate heat. We have developed a unique high-throughput drug discovery platform to identify compounds that selectively activate this target protein, without side effects. For decades people have wanted a drug that burns calories like exercise does. We are realizing this dream at Equator Therapeutics.

Altay develops small molecule drugs to treat chronic liver diseases like liver fibrosis and liver cancer. Our co-founder Dr. Osman Ozes, led the first drug development program for Esbriet (Pirfenidone), resulting in the first FDA approved therapy for lung fibrosis. Esbriet is now a $1 billion/year drug and has already made over $6 billion in revenue. With a team that has over 70+ years of small molecule drug development experience, we intend to do the same with chronic liver diseases, which affects over 20 million Americans and represents a market size of over $30 billion. We know we are well positioned for success because we have shown excellent pre-clinical mouse data in several liver fibrosis models using our novel small molecule. We demonstrate a reduction in fibrosis with our drug, but more significantly, we show a reversal in fibrotic tissue back to normal tissue. With our current developmental strategy, we hope to have a clinic-ready compound by the end of 2021 and be in phase I clinical trials by mid of 2022.

Asher Bio is a biotechnology company developing precisely targeted immunotherapies for cancer and other diseases. Our cis-targeting platform aims to enable selective activation of specific immune cell types, addressing the inherent limitations of otherwise pleiotropic immunotherapies that act on multiple cell types. Our approach has the potential to precisely direct different immune mediators against a range of target immune cell-types and create best-in-class immunotherapies in cancer, autoimmune and infectious diseases. Asher Bio is backed by Third Rock Ventures and is located in South San Francisco.

YourChoice Therapeutics is revolutionizing the global contraceptive market. Our vision is to develop non-hormonal contraceptives to provide both women and men with birth control options that lack the associated risks of hormone-based options but are equally effective. Traditionally, it has been the women’s financial and health burden to have a contraceptive in place. Our first goal is therefore to bring a novel non-hormonal, on-demand and low cost female contraceptive to the market that will substantially improve their quality of life and well-being. Our second goal is to develop the first ever non-surgical and highly effective non-hormonal contraceptive for men. Currently, male contraception is limited to two main options – vasectomy or condoms. Having such options available to both women and men will globally allow for much better family planning, reduce the number of unwanted pregnancies including abortions and therefore reduce costs and ensure contraceptive health and well-being.