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Dayhoff Labs

AI-driven molecular design and simulation

Overview

Dayhoff Labs develops AI models and computational platforms to solve complex problems in chemistry, biochemistry, and synthetic biology. Its tools help researchers design, optimize, and simulate molecules such as enzymes and catalysts, enabling faster discovery and more sustainable chemical processes. By combining machine learning, computational chemistry, and laboratory work, it offers machine-assisted workflows that integrate experimental data and collaboration with researchers, with a strong emphasis on open science. The company aims to shorten discovery timelines, reduce costs and environmental impact, and broaden access to AI-powered molecular design for academia and industry.

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About Dayhoff Labs

Simplify's Rating
Why Dayhoff Labs is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsAI & Machine LearningBiotechnology

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Boston, MA

Founded

2022

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Simplify's take

What believers are saying

  • Public API launched August 2026, broadening developer and research access.
  • PNAS 2026 and the March 2026 paper validate real enzyme-discovery performance.
  • Hiring in Cambridge and London signals continued expansion after the Lavo acquisition.

What critics are saying

  • Horizyn-1 degrades off-distribution, limiting reliability in novel commercial programs.
  • Acquiring Lavo Life Sciences in September 2026 concentrates execution risk across simulation and wet labs.
  • One or two flagship models define the company; a weak follow-on platform kills differentiation.

What makes Dayhoff Labs unique

  • Horizyn-1 pairs reaction fingerprints with protein embeddings for enzyme retrieval.
  • Dayhoff Labs releases code and a public API, accelerating external adoption.
  • Wet-lab validation in PNAS 2026 gives the model experimental credibility.

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