Output Biosciences
Output 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.
Y Combinator
yc-company-directory #1870Output 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.
sourceOutput Biosciences 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 Output Biosciences
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.
Reticular
match 64Reticular is scaling polygenic prediction for embryo selection, helping IVF couples plan their families today while building a platform to unlock cures for complex heritable diseases long-term. John competed Biology Olympiads before spending 4 years 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.
shared extracted concept terms: biological, model; shared product terms: complex, biological, long, model; same category: AI infrastructure; shared affiliation: Y Combinator
Interfaze
match 62Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with transformers for tasks that require deterministic output and high consistency like Document intelligence, Object detection, Classification, Audio understanding and more. Interfaze outperforms large lab models like Gemini flash, Claude Sonnet and the GPT-5.4 mini series Architecture paper: https://arxiv.org/abs/2602.04101 Full open benchmarks: https://interfaze.ai/leaderboards
shared extracted concept terms: model; shared product terms: model, architecture, output, high; same category: AI infrastructure; shared affiliation: Y Combinator
Diffuse Bio
match 56Diffuse 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.
shared extracted concept terms: generative, model; shared product terms: generative, system, breakthrough, model; same category: AI infrastructure; shared affiliation: Y Combinator
Hudson Labs (formerly Bedrock AI)
match 48Finance-specific AI trained on complex financial language for industry-leading accuracy and reliability. Our large language models interpret and condense huge volumes of information, so institutional investors can make smarter decisions in record time. Learn more at www.hudson-labs.com
shared extracted concept terms: large, model; shared product terms: complex, large, model; same category: AI infrastructure; shared affiliation: Y Combinator
Exonic
match 48What 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
shared extracted concept terms: biological, model; shared product terms: biological, model, pioneer; same category: AI infrastructure; shared affiliation: Y Combinator
Plexus
match 44AI observability platform for physical systems that analyzes telemetry to detect anomalies, diagnose failures, and help teams understand complex machines.
shared product terms: understand, complex, system, high; same category: AI infrastructure; shared affiliation: Y Combinator