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Integrated Biosciences

Small-molecule drugs for aging and cardiometabolic disease

Raised to date

$68.4M

of $100M offered across 1 Form D filing

Still open
$31.6M
Investors
39
Last filed
Aug 5, 2026

About

Integrated Biosciences is a Redwood City, California biotechnology company discovering small-molecule therapeutics for age-related and cardiometabolic diseases. Its discovery engine combines proprietary optogenetic tools, differentiated aging datasets generated across cellular and whole-organism models, and machine learning that proposes and prioritizes drug hypotheses. The company was founded in 2022 by biophysicist Felix Wong and biology professor Max Wilson, with scientific roots in Jim Collins' lab at MIT. Its work has been published in Nature, Nature Aging and Cell, including a new class of antibiotics identified with its AI platform.

Optogenetic screening gives tunable millisecond- and micron-level control over cellular stress pathways that conventional assays cannot address, producing high-fidelity proprietary datasets that make its AI models more predictive than models trained on public data.

Funding

  • EquityFiled Aug 5, 2026Form D
    $68.4M/ $100M

Product

Optogenetic drug discovery platform

Drug discovery platform

An integrated discovery engine that pairs a first-of-its-kind optogenetic screening platform with novel chemistry tools and machine learning. Light-controlled activation of cellular stress and aging pathways generates high-throughput, high-fidelity datasets; AI models trained on those datasets propose molecules, which are then validated experimentally and fed back into the platform.

  • Optogenetic control of biological pathways with millisecond and micron resolution
  • Proprietary aging datasets across cellular and whole-organism models
  • Machine learning models that propose and rank drug hypotheses

Built for

Pharmaceutical partners and, ultimately, patients with age-related and cardiometabolic diseases such as neurodegeneration, cancer, diabetes and osteoarthritis

People on file