Alternatives to Exscientia

AI-native drug discovery: phenomics, robotics, and a 50+ petabyte dataset to de-risk medicines.

End-to-end generative AI drug discovery platform from target ID to clinical trials, validated by a Phase III pipeline.

Physics-based molecular discovery platform for drug and materials design

AI-native drug discovery platform turning 50+ PB of cellular imaging data into clinical-stage therapies

Automated cloud lab to validate protein designs in under 3 weeks.

Tech-driven drug discovery and biologics manufacturing platform

Highly selective small-molecule drug discovery for oncology, immunology, and metabolic diseases.

All-in-human AI foundation models for precision neurology and CNS drug discovery

Generative AI and robotics for autonomous drug discovery, compressing the DMTA cycle to under two years.

AI drug discovery knowledge graph for target identification and drug repurposing.

AI data analyst for bio labs: raw data to publication-ready results

AI co-scientist for biomedical research: multi-omics, drug discovery, and lab protocol reasoning

AI-driven CRISPR platform revealing causal disease-driving RNA pathways for immunology and oncology drug discovery

Open-source AI drug discovery assistant for molecular research

AI-designed multivalent nanoparticles for cell-selective drug delivery

Open-source automated model assembly from literature and databases for systems biology

Mechanistic interpretability platform to understand, debug, and design AI models

Oncology real-world evidence platform turning patient data into AI-powered insights for cancer research and care.

AI-driven clinical trial patient matching and recruitment from EMR data.

Cloud ELN, LIMS, and AI platform that unifies biotech R&D data.

FDA-cleared AI for cancer pathology diagnostics and biomarker discovery.

AI-powered precision oncology platform analyzing clinical and molecular data for personalized cancer care.

Causal AI for human health, turning 20+ petabytes of cellular data into targeted therapeutics.

ML-guided protein engineering platform for multi-property co-optimization with compounding models from your own experimental data

Enterprise AI pathology platform for diagnostics and drug development.

Agentic AI for multimodal R&D data analysis and workflow automation

AI scientist delivering defendable drug program decisions in 2–5 days.

AI platform for genomic medicine molecular construct design

AI foundation models predicting patient drug response to de-risk clinical trials

AI target discovery platform for neurotherapeutics across disorders