Collection
Companies and tools using AI to accelerate discovery, interpretation, and experimental decision-making in life sciences.
This page brings together the most relevant AI-native biology players already present in the directory, from model-driven platform companies to research software used inside life science teams.
AI-related biology queries are some of the most linkable and shareable topics in the space. This collection creates a strong landing page for those searches.
github.com
An open-source, trainable PyTorch reproduction of AlphaFold 2 for protein-structure modeling.
github.com
An open-source toolkit for probabilistic modeling of single-cell, multi-omics, and spatial data.
labclaw-ai.github.io
An open-source skill library for autonomous biomedical research across bioinformatics, single-cell analysis, drug discovery, and literature workflows.
causaly.com
A life science AI platform combining biomedical knowledge graphs, scientific search, and research copilots for R&D teams.
owkin.com
An AI-biotech company combining patient data, biological reasoning models, and agentic systems for discovery and clinical programs.
aqemia.com
A pharmatech company combining deep physics and AI to accelerate small-molecule discovery.
bioptimus.com
A company building biology foundation models, including widely discussed models for pathology and multimodal biology.
xaira.com
An AI drug-discovery company building predictive and agentic models across the full discovery and development stack.
latentlabs.com
A frontier AI lab building generative models for proteins, antibodies, and broader molecular biology design tasks.
