At Lemna We:
decode & encode
the interactions
of life

Biological interactions are at the core of health and disease. We are building AI models that explain how molecules interact, from atomic-level interfaces to biological networks.

We use these models to identify high-confidence disease targets, optimal engagement strategies, and drug molecules that act safely and effectively.

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Visual representation of Lemna's molecular interaction analysis

Complex Biology,
Predictable Interactions.

Universal Data Efficient Explainable
Technology

Geometric Transformer at the Core

The geometric transformer is at the core of our models. It reasons from first principles using atomic structure, guided by biological context to uncover mechanisms of disease and drug action.

Most failures in drug discovery stem from an incomplete understanding of biological interactions. This leads to low-efficacy targets, ineffective drug mechanisms of action, or unforeseen side effects.

Our AI models biological interactions to generate explainable hypotheses that link atomic-level interactions with their functional biological context.

These hypotheses guide drug discovery teams in mapping disease pathways, nominating high-confidence targets, assessing druggability, and identifying molecules that engage targets safely and effectively.

Models

Empowering a Full Cycle of Discovery

  • Pesto

    Actively used by over 3000 researchers to predict interaction interfaces and molecular hotspots.

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  • Carbonara

    Benchmarked by Novo Nordisk as one of two top protein sequence design models.

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The Team

Unlocking a Golden Age of Biomolecules

We are a team of machine learning experts, biophysicists, bioengineers, and more based along the beautiful shore of lake Leman in Lausanne, Switzerland. 🇨🇭

We always welcome motivated and hardworking individuals looking for a role at the bleeding edge of biological engineering.

A view of Lausanne from the lake

Backed by the best