Funding Round

Synthesize Bio Raises $10M Seed for Generative Genomics

Synthesize Bio raised $10M for generative genomics. Its GEM-1 model accelerates drug discovery.

StartupHub.ai Staff

By StartupHub.ai Staff, reviewed by Daniel Singer, Editor

1 min read

Synthesize Bio Raises $10M Seed for Generative Genomics

Synthesize Bio raised $10M for generative genomics. Its GEM-1 model accelerates drug discovery.

Seattle-based Synthesize Bio, a biotechnology company, secured a $10 million seed funding round. Madrona led the investment, with participation from Sahsen Ventures, Inner Loop Capital, Point Field Partners, and AI2 Incubator. This capital will accelerate the development of Synthesize Bio's generative genomics models, expanding access for biopharmaceutical companies and researchers.

Synthesize Bio pioneers biological foundation models. These models simulate gene expression experiments. Its Generate Expression Model-1 (GEM-1) predicts experimental outcomes with high accuracy. The model was trained on a deeply curated RNA-seq dataset.

Advancing AI in Drug Discovery

GEM-1 generates in silico data matching wet lab experiments. This capability establishes a new paradigm for generative AI in biology. The company actively engages biopharma partners to enable confident drug discovery decisions. Furthermore, GEM-1 helps de-risk clinical pipelines.

The platform offers a powerful tool for researchers. It accelerates applications relying on gene expression data.

GEM-1 is now available via API clients. Other companies like Insitro and Recursion Pharmaceuticals also leverage machine learning for biological insights.

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TopicsAI-driven Drug DiscoveryBiotechFundingGenerative AIGenomicsMadronaSeed RoundSynthesize Bio

StartupHub.ai Staff

Written by

StartupHub.ai Staff

Editorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

Daniel Singer

Written by

Daniel Singer

Editor, reviewed this article

Daniel Singer is an AI expert who has been writing about, covering and building AI technology since 2018.

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