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Iambic Therapeutics

AI drug design with automated synthesis and testing

Raised to date

$27.8M

of $50M offered across 1 Form D filing

Still open
$22.2M
Investors
7
Last filed
Apr 8, 2026

About

Iambic Therapeutics is a clinical-stage biopharmaceutical company in San Diego that pairs AI-driven molecular design with automated chemical synthesis and high-throughput experimentation. Its platform combines physics-informed machine learning models with laboratory execution to complete drug design-make-test cycles on a weekly cadence. Iambic advances its own oncology pipeline of brain-penetrant small-molecule inhibitors and also licenses the platform to pharmaceutical partners including Bayer and Revolution Medicines. Its lead candidate moved from program initiation into human trials in roughly two years.

Physics-informed AI architectures (NeuralPLexer for protein-ligand co-folding, Enchant for multimodal property prediction) tightly coupled to automated synthesis, allowing weekly design-make-test cycles and dramatically compressed timelines from program start to clinical trials.

Funding

  • EquityFiled Apr 8, 2026Form D
    $27.8M/ $50M

Product

Iambic AI drug discovery platform (Enchant and NeuralPLexer)

AI drug discovery platform

An AI platform for small-molecule drug design built around two core models: NeuralPLexer, a co-folding model for predicting protein and protein-ligand structures, and Enchant, a multimodal transformer for predicting molecular properties. The models are integrated with automated chemical synthesis and experimental execution so novel designs are turned into biological data each week.

  • NeuralPLexer co-folding model for protein and protein-ligand structure prediction
  • Enchant multimodal transformer for molecular property prediction
  • Physics principles embedded in the AI architecture for data efficiency

Built for

Pharmaceutical and biotechnology companies seeking AI-enabled small-molecule discovery partnerships, plus oncology patients reached through Iambic's own clinical programs

People on file