Turbine
Category: AI in Healthcare
Turbine virtualizes biological experiments with AI to accelerate drug discovery and improve clinical translatability through its Simulated Cell platform. Turbine was founded in 2016. The company is led by Szabolcs Nagy. Based in Budapest, Hungary (HQ); London, UK; Cambridge, UK. Team size: 101-500. Total funding raised: $62M. Latest round: Series B. Key investors include Accel, MSD Global Health Innovation Fund (Merck & Co.), Mercia, Interactive Venture Partners, Beiersdorf Venture Capital, MassMutual Ventures, Delin Ventures, XTX Ventures, Day One Capital, Accenture Ventures, Atlantic Labs, o2h Ventures.
- Founded
- 2016
- Headquarters
- Budapest, Hungary (HQ); London, UK; Cambridge, UK
- Team size
- 101-500
- Total funding
- $62M
Value proposition
Turbine's Simulated Cell platform uses AI to create virtual copies of biological experiments, enabling researchers to run millions of in silico experiments in hours instead of weeks, improving clinical translatability and reducing drug development failure rates.
Products and solutions
Simulated Cell platform (foundational virtual cell model), Virtual Lab (no-code simulation platform), ADC Intelligence, Target Discovery & De-risking, Virtual Cells, Lab-in-the-loop validation
Unique value
World's leading predictive simulation of patient biology — models the fundamental protein signaling logic that decides cell fate, enabling mechanistic understanding rather than correlative predictions, with a lab-in-the-loop that continuously improves model accuracy.
Target customer
Global biopharmaceutical companies (R&D teams in oncology, immunology, and drug discovery); CROs; academic research institutions
Industries served
Oncology drug discovery, Immunology, Antibody-drug conjugate (ADC) development, Translational medicine, Dermatology/cosmetics (via Beiersdorf partnership)
Technology advantage
Proprietary Simulated Cell platform that models protein signaling logic (not just correlative ML); ability to simulate 50M experiments/day; mechanistic (causal) predictions vs. black-box AI; lab-in-the-loop active learning; validated across 30+ discovery programs with top pharma partners
How they differentiate
Unlike most AI drug discovery companies that use correlative ML or generative models, Turbine builds mechanistic, causal models of cell signaling that explain why a drug works, not just that it might work. Its lab-in-the-loop creates a continuous feedback cycle where in silico predictions are validated in wet lab and data flows back to improve the model.
Main competitors
Insilico Medicine, Recursion Pharmaceuticals, BenevolentAI, Isomorphic Labs, Valo Health
Key partnerships
AstraZeneca, Bayer, Ono Pharmaceutical, MSD (Merck & Co.) via MSD Global Health Innovation Fund, Cancer Research Horizons, Crown Bioscience (strategic partnership, April 2026), Beiersdorf (investor + potential dermatology collaboration), Champions Oncology (strategic collaboration, April 2025)
Notable customers
AstraZeneca, Bayer, Ono Pharmaceutical, MSD (Merck & Co.), Top 10 pharma company (immunology partnership, announced Feb 2026, name undisclosed)
Major milestones
2016: Company founded, 2019: €3M Seed round led by Delin Ventures, 2021: $6.85M Pre-Series A led by Accel, 2022: €20M Series A co-led by Mercia and MSD GHI Fund, 2023: Series A upsized to €25.5M with MassMutual Ventures, 2024: Strategic investment from Accenture Ventures, 2024: Key milestone achieved with Ono Pharmaceutical collaboration, 2025: Strategic collaboration with Champions Oncology, 2026: $25M Series B led by Interactive Venture Partners, 2026: First immunology partnership with top 10 pharma company, 2026: Strategic partnership with Crown Bioscience
Growth metrics
~106-115 employees (2026); 30+ discovery programs with pharma partners; 1,400+ oncology cell lines in platform; 1,200+ drugs/drug-like molecules; 8,500+ genes with KO alterations
Market positioning
Leading AI-powered virtual biology platform in Europe, competing with global AI drug discovery players. Positioned as a platform provider to pharma (not a drug developer itself), with expansion from oncology into immunology and dermatology.
Geographic focus
Global (HQ in UK, operations in Hungary, partnerships with pharma across US, Europe, and Japan)
About Szabolcs Nagy
Co-founded a cybersecurity startup (acquired); Chief Strategy Officer at The Medical Futurist; studied International Business at Corvinus University of Budapest
Latest news about Turbine
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Official website: https://turbine.ai