Atomwise
Atomwise is a preclinical pharma company revolutionizing how drugs are discovered with AI. Atomwise has strengthened its drug discovery and development expertise by expanding its Board of Directors and creating a Scientific Advisory Board (SAB). These appointments signal a critical milestone for Atomwise as the company focuses on its own internal pipeline. We invented the use of deep learning for structure-based drug discovery, today developing a pipeline of small-molecule drug candidates advancing into preclinical studies. Our AtomNet technology has been used to unlock more undruggable targets than any other AI drug discovery platform. We are tackling over 600 unique disease targets with more than 250 partners around the world, including leading pharmaceutical, agrochemical, and emerging biotechnology companies. Atomwise has raised over $174 million from leading venture capital firms to advance our mission to make better medicines, faster. We’re at a critical time in history where our need for new kinds of medicines is greater than any time in human memory. Fortunately, we can leverage advancing technology and scientific breakthroughs to accelerate discovery. New data, new algorithms, new compute platforms lift all of us, enable our work on the hardest of problems, empower us to invent and create, and ultimately save one billion lives. Join us: www.atomwise.com/careers
Founded
2012
Location
San Francisco, CA
Employees
33
Funding
$174M–$219M total
Atomwise Company Dossier
Overview
**Atomwise** is a San Francisco–based biotech applying deep learning to structure‑based small‑molecule drug discovery. Its core platform, **AtomNet**, performs ultra‑large virtual screening for protein–ligand binding and supports hit identification and lead optimization. The company operates as a preclinical pharma with an internal pipeline and R&D collaborations with pharma, biotech, and agrochemical partners.
Quick Facts
Technology and Platform
Who It’s For
Key Use Cases
Partnerships and Ecosystem
Funding and Corporate Updates
Notable Recognition
Strengths and Considerations
Integrations and Workflow
Engagement Model and Access
Summary
Atomwise combines deep learning–driven, structure‑based modeling with GPU‑accelerated infrastructure to run ultra‑large virtual screens and power small‑molecule discovery. With notable partnerships, substantial financing, and a 2025 leadership refresh, the company emphasizes both a collaborative model and development of its internal pipeline. Potential buyers and partners should weigh its demonstrated screening scale and enterprise collaborations against limited public software reviews and recent organizational changes.
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