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VerifiedBiotechnology Research· Founded 2014

Anima Biotech

We built the Biology Runtime Layer for AI - the Biology GPU - enabling AI models to visually compute inside cells and reason experimentally in biological pathways. Powered by a proprietary tech stack that directly visualizes biological processes and pathways at AI scale, the Biology GPU drives a Visual Biology Model trained on 2B+ proprietary cellular pathway images. AI models generate hypothesis about biological processes, and the Biology GPU executes AI-scale visual experiments, enabling a closed loop of reasoning on biological mechanisms, how pathways behave, how compounds act and how processes unfold. This opens a new way for models to interact with disease: reasoning through biological processes and pathways, recognizing dysregulated activity, and seeing pathway biology in motion. The Biology GPU unlocks breakthrough applications across the R&D value chain - from discovering pathway signatures and identifying novel targets, to optimizing compounds based on pathway activity and supporting preclinical decisions through seeing biology inside cells. Our AI-to-cell stack powers use cases across discovery process in over 20 programs and strategic collaborations with AbbVie, Takeda, and Lilly.

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HeadquartersBernardsville, United StatesEmployees62(51 to 200)Annual revenue$1M to <$10MFounded year2014Websiteanimabiotech.comLinkedIn profileLinkedIn

Verified contacts

70

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LinkedIn employees

62

51 to 200 range

Open roles

no listings

Distinct roles

53

indexed titles

Tech stack

3

tools in use

Monthly traffic

749

organic / mo

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Top roles at Anima Biotech

53 distinct titles indexed · top 10 shown.

  • 4research associate
  • 3associate researcher
  • 3senior research associate
  • 2backend developer
  • 2bioinformatician
  • 2business development manager
  • 2data scientist
  • 2frontend developer & designer
  • 2qa engineer
  • 2research assistant
  • +43more titles

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