Exonic
What if you could train a biological foundation model on... the entire internet? Exonic is pioneering a new generation of biological foundation models, focused on heterogeneous, unstructured, and noisy datasets. Our first application is the design of safer gene therapies. In 2025, we used AI to set a new state of the art in liver cancer targeted gene therapy, validated in vitro in our lab in San Francisco. So far in 2026, we have trained a new model with unprecedented zero-shot generalization on
Y Combinator
yc-company-directory #125What if you could train a biological foundation model on... the entire internet? Exonic is pioneering a new generation of biological foundation models, focused on heterogeneous, unstructured, and noisy datasets. Our first application is the design of safer gene therapies. In 2025, we used AI to set a new state of the art in liver cancer targeted gene therapy, validated in vitro in our lab in San Francisco. So far in 2026, we have trained a new model with unprecedented zero-shot generalization on
sourceExonic is classified as AI infrastructure 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 Exonic
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.
Blank Bio
match 64Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. We do this by training RNA foundation models that learn the patterns that shape disease progression and patient response to treatment. We aim to help pharma make more informed decisions in clinical trials by capturing the biology that makes each patient’s tumour unique. We’re a technical team of AI scientists and engineers from companies including Recursion, Deep Genomics, DeepMind, and Amazon, an
shared extracted concept terms: foundation, model; shared product terms: lab, focus, train, foundation; same category: AI infrastructure; shared affiliation: Y Combinator
AbInitio Bio
match 56Abinitio Bio builds foundation models for biomanufacturing, validated against wet lab data. Our first model, Echo, predicts manufacturing outcomes more accurately than standard models, and any pharma or CDMO can adapt it to their own workflow instantly. By making process decisions that take 6-18 months today in hours, we help teams avoid the cost of delay on a single program.
shared extracted concept terms: model, foundation; shared product terms: foundation, model, validat, lab; same category: AI infrastructure; shared affiliation: Y Combinator
SID
match 54SID is an AI research lab based in San Francisco. We train models that can retrieve and reason over any data source.
shared extracted concept terms: model; shared product terms: train, model, lab, san; same category: AI infrastructure; shared affiliation: Y Combinator
Nyckel
match 52Use Nyckel to train and integrate state of the art machine learning into your application. Our ML platform can be used by anyone and it only takes minutes to train your first model. Once trained, your functions is immediately deployed to production grade infrastructure.
shared product terms: train, model, application, used; same category: AI infrastructure; shared affiliation: Y Combinator
Output Biosciences
match 48Output Biosciences is pioneering Biologically-Aware Generative AI to finally understand complex biological systems. Our new generative AI architecture can handle the extremely long, nonlinear, fragmented, and high dimensional data of biological systems. We are building Large Biological Models that can generate breakthrough medicines and transform the way we diagnose, treat and prevent disease.
shared extracted concept terms: biological, model; shared product terms: biological, model, pioneer; same category: AI infrastructure; shared affiliation: Y Combinator
AfterQuery
match 48AfterQuery is an applied research lab curating data solutions for frontier foundation model development. Serving every frontier AI lab.
shared extracted concept terms: foundation, model; shared product terms: lab, foundation, model; same category: AI infrastructure; shared affiliation: Y Combinator