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Atomwise company logo


Founded Year



Grant | Alive

Total Raised


Last Raised

$2.3M | 2 yrs ago

About Atomwise

Atomwise uses deep learning neural networks to help discover new medicines. Atomwise achieves results for new drug hit discovery, binding affinity prediction, and toxicity detection. Atomwise predicts drug candidates for pharmaceutical companies, start-ups, and research institutions. It is currently using computational drug design to design drugs against COVID.

Headquarters Location

717 Market Street Suite 800

San Francisco, California, 94103,

United States


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ESPs containing Atomwise

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Life Sciences / Biopharma Tech

AI drug discovery vendors are analyzing data (e.g., clinical trials data, EHRs, omics data, cellular images, and more) to develop novel drugs.

Atomwise named as Leader among 8 other companies, including Insilico Medicine, Cyclica, and Healx.

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Expert Collections containing Atomwise

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Atomwise is included in 6 Expert Collections, including Digital Health.


Digital Health

21,956 items

Startups recreating how healthcare is delivered


AI 100

200 items


Artificial Intelligence

9,442 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Digital Health 150

300 items

2019's cohort of the most promising digital health startups transforming the healthcare industry


Biopharma Tech

838 items


Drug Discovery Tech Market Map

221 items

This CB Insights Tech Market Map highlights 220 drug discovery companies that are addressing 12 distinct technology priorities that pharmaceutical companies face.

Atomwise Patents

Atomwise has filed 1 patent.

The 3 most popular patent topics include:

  • Classification algorithms
  • Machine learning
  • Statistical classification
patents chart

Application Date

Grant Date


Related Topics




Artificial neural networks, Machine learning, Classification algorithms, Spatial data analysis, Statistical classification


Application Date


Grant Date



Related Topics

Artificial neural networks, Machine learning, Classification algorithms, Spatial data analysis, Statistical classification



Latest Atomwise News

Global AI in Healthcare Market (2022 to 2026) - Featuring Alphabet, Atomwise, Cyclica and General Electric Among Others -

Oct 17, 2022

The artificial intelligence (AI) market in healthcare sector is poised to grow by $13 billion during 2022-2026, accelerating at a CAGR of 29.16% during the forecast period. The report on the artificial intelligence (AI) market in healthcare sector provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors. The report offers an up-to-date analysis regarding the current global market scenario, latest trends and drivers, and the overall market environment. The market is driven by the push for digitization in healthcare, growing demand for reduced healthcare costs, and growing number of partnerships and collaborations. The artificial intelligence (AI) market in healthcare sector analysis includes the application segment and geographic landscape. This study identifies the new growth potential for AI-based tools in elderly care as one of the prime reasons driving the artificial intelligence (AI) market in healthcare sector growth during the next few years. Also, precision medicine and rising adoption of technology since Covid-19 will lead to sizable demand in the market. Companies Mentioned Artificial intelligence (AI) market sizing Artificial intelligence (AI) market forecast Artificial intelligence (AI) market industry analysis The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors. The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth. Key Topics Covered:

Atomwise Web Traffic

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Atomwise Frequently Asked Questions (FAQ)

  • When was Atomwise founded?

    Atomwise was founded in 2012.

  • Where is Atomwise's headquarters?

    Atomwise's headquarters is located at 717 Market Street, San Francisco.

  • What is Atomwise's latest funding round?

    Atomwise's latest funding round is Grant.

  • How much did Atomwise raise?

    Atomwise raised a total of $176.42M.

  • Who are the investors of Atomwise?

    Investors of Atomwise include Bill & Melinda Gates Foundation, Y Combinator, DCVC, Dolby Family Ventures, AME Cloud Ventures and 12 more.

  • Who are Atomwise's competitors?

    Competitors of Atomwise include Cyclica, nference, Recursion, Insilico Medicine, Brightseed, BenevolentAI, Terray Therapeutics, Valence, Redesign Science, Exscientia and 21 more.

Compare Atomwise to Competitors

Insilico Medicine Logo
Insilico Medicine

Insilico Medicine develops a range of generative adversarial networks (GANs) and reinforcement learning approaches to identify protein targets, generate molecular structures with specified properties, and generate synthetic data. The company provides pharmaceutical and biotechnology companies with artificial intelligence solutions that transform the way innovative medicines and treatments are discovered and accelerate research and development. It was founded in 2014 and is based in Hong Kong.

insitro Logo

insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients.

Cyclica Logo

Cyclica offers artificial intelligence (AI) and computational biophysics based drug discovery process. Its structure-based and artificial intelligence (AI) augmented drug discovery platform includes Ligand Design for multi-targeted and multi-objective drug design, and Ligand Express for off-target profiling, systems biology linkages, and structural pharmacogenomic insights. The company was founded in 2013 and is based in Toronto, Canada.

Standigm Logo

Standigm is an AI and systems biology-based startup that aims to expedite the drug discovery process. Standigm develops a computer modeling technology that learns medical and biological information and predicts the action mechanism of pharmaceutics in advance. This technology can improve the pharmaceutical development process by tailoring the application of previous know-hows, come up with possible combinations of pharmaceuticals, and optimize the selection of candidates and participants for clinical trials.

Healx Logo

Healx is an AI-powered and patient-inspired technology company, accelerating the discovery and development of rare disease treatments. Its AI drug discovery platform leverages public and proprietary biomedical data and features a knowledge graph for rare diseases.

Aria Pharmaceuticals Logo
Aria Pharmaceuticals

Aria Pharmaceuticals is a preclinical-stage pharmaceutical company that discovers and develops novel small molecule therapies for complex and hard-to-treat diseases

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