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Turbine

Cell-simulation platform for oncology drug discovery

Overview

Turbine AI builds a cell simulation platform that uses machine learning to model how human cells behave and how cancer treatments may work. Their core product, Simulated Cells, runs virtual experiments to predict which drugs or targets are most likely to be effective and which patients may respond best. The platform helps pharmaceutical teams explore ideas, de-risk development, and potentially cut time and cost in bringing therapies to market. They offer a Virtual Lab to let potential clients test the technology on oncology challenges, including drug resistance in blood cancers. Turbine AI differentiates itself by combining ML-based cell simulations with targeted collaboration with pharma companies (like AstraZeneca) to apply simulations to real drug development problems and identify promising targets and patient populations that traditional lab work might miss.

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About Turbine

Simplify's Rating
Why Turbine is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareBiotechnologyHealthcare

Company Size

51-200

Company Stage

Series B

Total Funding

$60.9M

Headquarters

Budapest, Hungary

Founded

2016

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Simplify's take

What believers are saying

  • February 24, 2026 Series B raised $25 million, extending runway and product expansion.
  • September 24, 2026 Ono collaboration adds upfront payments and milestone revenue potential.
  • Across 2026, Turbine expanded beyond oncology into immunology and ADCs, widening addressable demand.

What critics are saying

  • Turbine still lacks proof of clinical outcomes after September 2026 partnership announcements.
  • Its model depends on proprietary partner datasets, slowing expansion when data-sharing terms stall.
  • If simulations miss biology in immunology, customers will revert to cheaper CROs and internal ML teams.

What makes Turbine unique

  • Turbine’s Simulated Cell platform turns biological hypotheses into computable assays before wet-lab work.
  • September 24, 2026 Daiichi Sankyo expansion validates Turbine in ADC discovery, not just oncology theory.
  • Crown Bioscience’s organoid integration gives Turbine a closed-loop prediction-to-validation workflow.

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Funding

Total Funding

$60.9M

Below

Industry Average

Funded Over

5 Rounds

Notable Investors:
Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Below Average

Industry standards

$35M
$30M
$45M
$65M
$100M

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Company Match
  • Home Office Stipend
  • Paid Vacation
  • Paid Sick Leave
  • Remote Work Options

Company News

Turbine
Sep 24th, 2026
Turbine and Daiichi Sankyo expand ADC discovery collaboration.

Turbine and Daiichi Sankyo expand ADC discovery collaboration. LONDON, UK and BUDAPEST, HUNGARY - September 24, 2026 - Turbine, a leading virtual biology company, today announced the expansion of its collaboration with Daiichi Sankyo following the successful completion of an initial feasibility program evaluating Turbine's predictive modeling capabilities for ADC development. The parties will use Turbine's virtual biology platform vLab(R) to run Virtual Assays (computational experiments that simulate biological responses across large numbers of conditions) to accelerate and de-risk Daiichi Sankyo's ADC discovery programs. The collaboration also establishes a foundation for iterative learning, where simulated experiments guide efficient data generation, and experimental validation feeds back into ever-improving computational models. Every lab-in-the-loop cycle sharpens Virtual Assays further, creating a compounding learning effect as new experimental data strengthens the knowledge base informing subsequent predictions and decisions across ADC discovery. The initial feasibility program built a foundation of trust in Turbine's predictive modeling approach, demonstrating its ability to generate meaningful insights relevant to ADC research and development. The results provided confidence to expand the collaboration, with Turbine's vLab(R) platform now being applied to Daiichi Sankyo's proprietary ADC programs to explore complex biology and support data-driven decision-making across ADC discovery. As ADC pipelines grow, selecting the optimal payload, combination, indication and biomarker strategies has become a significant challenge in oncology R&D, particularly as novel payload classes introduce new complexity. Traditional experimental approaches can address only a fraction of the enormous biological search space required to optimize these decisions. Turbine's vLab(R) addresses this challenge by enabling scientists to simulate experiments at computational scale, identify hypotheses supported by mechanistic evidence, and prioritize the most promising candidates for experimental validation. Turbine's 'lab without limits' is an easy-to-use, no-code platform with collaborative workflows and interactive visualizations. The resulting in silico data packages can be integrated into existing R&D processes to accelerate decision-making. "Virtual Assays offer near infinite search space and greatly reduce the number of wet lab experiments needed. We believe in silico experimentation will become the prerequisite for wet lab work and the accelerant across R&D pipelines, transforming R&D productivity," said Szabolcs Nagy, Chief Executive Officer and Co-Founder of Turbine. "With vLab(R), we've already worked with partners including AstraZeneca and MSD (Merck & Co.) to generate mechanistic insights and prioritize targets and biomarkers in defined patient populations. This collaboration reflects Turbine and Daiichi Sankyo's shared commitment to applying innovation to improve decision-making across ADC discovery. We are excited to expand the collaboration into Daiichi Sankyo's proprietary programs and combine its data and ADC expertise with Turbine's vLab platform to accelerate the discovery of novel cancer therapies." About Turbine. A lab without limits, built for biopharma. Turbine's Virtual Lab (vLab(R) enables scientists to run Virtual Assays across millions of biological conditions far beyond traditional laboratory throughput. Instead of narrowing hypotheses to fit experimental constraints, scientists can explore the broader biological search space computationally before deciding what to validate in the wet lab. Turbine doesn't replace the wet lab. It makes every experiment count. Through an integrated lab-in-the-loop workflow, virtual findings become testable hypotheses, with validation results feeding back to strengthen subsequent predictions within the workflow. In deployed programs, Turbine has reduced decision timelines from 12-18 months to approximately two months while cutting wet-lab experiments by more than 50%. For more information, please visit www.turbine.ai. About Daiichi Sankyo. Daiichi Sankyo (TSE: 4568) is a global healthcare company committed to becoming a trusted healthcare innovator, transforming the lives of people through its strength in science and technology. The company discovers and develops new standards of care to address diverse medical needs to fulfill its purpose of contributing to the enrichment of quality of life around the world. With a strategic focus on oncology, Daiichi Sankyo is advancing an industry-leading antibody drug conjugate portfolio along with identifying new breakthrough generating technologies to deliver practice-changing medicines to patients, healthcare professionals and society. For more information, please visit www.daiichisankyo.com. About the ADC portfolio of Daiichi Sankyo. The Daiichi Sankyo ADC portfolio consists of eight ADCs in clinical development crafted from ADC technology discovered in-house by Daiichi Sankyo. The DXd ADC Technology platform of Daiichi Sankyo consists of seven ADCs in clinical development where each ADC is comprised of a monoclonal antibody attached to a number of topoisomerase I inhibitor payloads (an exatecan derivative, DXd) via tetrapeptide-based cleavable linkers. The DXd ADCs include Enhertu and Datroway, which are being jointly developed and commercialized globally with AstraZeneca, and ifinatamab deruxtecan (IDXd), raludotatug deruxtecan (R-DXd) and patritumab deruxtecan (HER3-DXd), which are being jointly developed and commercialized globally with Merck & Co., Inc, Rahway, NJ, USA. DS-3939 and DS3790 are being developed by Daiichi Sankyo. An additional ADC being developed by Daiichi Sankyo is DS3610, which consists of an antibody attached to a novel payload that acts as an agonist of STING. Ifinatamab deruxtecan, raludotatug deruxtecan, patritumab deruxtecan, DS-3939, DS3610 and DS3790 are investigational medicines that have not been approved for any indication in any country. Safety and efficacy have not been established.

ConnectWeb
Apr 21st, 2026
Crown Bioscience and Turbine partner to connect ai-driven prediction with organoid validation in translational oncology.

Crown Bioscience and Turbine partner to connect ai-driven prediction with organoid validation in translational oncology. Crown Bioscience and Turbine SAN DIEGO-BUSINESS WIRE- Crown Bioscience, a global contract research organization (CRO) and a JSR Life Sciences company, today announced a strategic partnership with Turbine, a leading virtual biology company, to advance translational oncology research by integrating Turbine's in silico Virtual Assays with its Tumor Organoid Assays based on HUB Organoid Technology. This collaboration establishes a connected workflow that enables researchers to move more efficiently from hypothesis to validation. Turbine's Virtual Assays simulate biological response across thousands of biological samples and hundreds of drugs, generating predictive insights to identify and prioritize targets, therapies, and combinations. The predictions will be enhanced through the incorporation of multimodal and drug response data from hundreds of tumor organoid models at Crown Bioscience. Together, the companies create a closed-loop approach linking prediction with validation, improving predictive accuracy, reducing experimental burden, whilst delivering greater biological relevance and translational confidence. Guided by Turbine's in silico predictions, select hypotheses can be experimentally validated using Crown Bioscience's tumor organoid assays, streamlining experimental design, reducing costs, and shortening development timelines. This approach enables researchers to generate insights earlier, focus resources on the most promising strategies, and make faster, more informed decisions with greater confidence in clinical translatability. "Translational success depends on how well early insights reflect real patient biology," said John Gu, CEO of Crown Bioscience. "By integrating predictive modeling with our organoid models, we are creating a more robust foundation for decision-making, one that improves confidence, reduces risk, and accelerates the path to the clinic." "Together with Crown Bioscience, we aim to address a key trade-off in drug discovery between scale and translatability," said Szabolcs Nagy, CEO of Turbine. "Using our Virtual Lab, researchers can already explore millions of hypotheses in silico. By integrating with Crown's organoid platform, we enable virtual experimentation that better reflects patient biology, helping close the translatability gap." About Crown Bioscience Crown Bioscience, a JSR Life Sciences company, is a global contract research organization (CRO) dedicated to accelerating drug discovery and development in oncology and immuno-oncology. Connectweb partner with biotech and pharmaceutical companies to provide innovative, tailored solutions spanning preclinical research, translational platforms, and clinical trial support. With the world's largest commercially available patient-derived xenograft (PDX) collection and approximately 1,000 tumor organoid models powered by Hubrecht Organoid Technology, Connectweb offer unparalleled insights across 35 cancer indications. Its expertise spans in vivo, in vitro, ex vivo, and in silico methods, complemented by advanced laboratory services that span the entire drug development continuum. Additionally, its extensive biobank of liquid and human biospecimens, complete with clinical histories, enhances oncology research capabilities. Operating from 11 state-of-the-art facilities across the US, Europe, and APAC, its laboratories meet the highest industry standards, including accreditation by the College of American Pathologists (CAP) and the International Organization for Standardization (ISO). To learn more, visit www.crownbio.com. About Turbine Turbine is virtualizing biological experiments with AI to accelerate drug discovery and improve clinical translatability. Using its foundational virtual cell model powered by its lab-in-the-loop, Turbine creates virtual copies of experimental assays. Turbine's Virtual Lab runs experiments at computational speed and scale, allowing researchers to test millions of ideas, beyond physical lab constraints, to understand biological drivers of disease. Working with scientists at leading biopharma like MSD (Merck & Co.), AstraZeneca and Bayer, Turbine's virtual assays have rationalized experiments across more than 30 discovery programs. Backed by leading tech and industry investors like Accel, MSD Global Health Innovation Fund, Interactive Venture Partners and Beiersdorf, Turbine is turning biology into an engineering discipline. For more information, visit www.turbine.ai or follow its LinkedIn page. Contact details: Media Inquiries: Crown Bioscience Sarah Martin-Tyrrell [email protected]

Life Sciences Europe
Mar 13th, 2026
Turbine secures $25M Series B led by Interactive Venture Partners, expands into immunology with top 10 pharma

Turbine, a virtual biology company, has raised $25 million in a Series B round led by Interactive Venture Partners, with participation from Beiersdorf Venture Capital and existing investors including MSD Global Health Innovation, Accel and Mercia. The Budapest-based company uses AI to virtualise biological experiments, creating virtual copies of experimental assays to accelerate drug discovery. Turbine announced its first immunology-focused partnership with a top 10 pharmaceutical company, expanding beyond its oncology offering. The funding will enable Turbine to expand its platform across new assays in discovery and translational medicine. The company's Virtual Lab integrates with pharmaceutical workflows, allowing researchers to test millions of ideas beyond physical laboratory constraints. Turbine has supported over 30 discovery programmes with partners including MSD, AstraZeneca and Bayer.

Genaro Palma Consulting EOOD
Feb 24th, 2026
Turbine Raises $25M Series B for Virtual Biology

Turbine raises $25M Series B for virtual biology. Key Points * Turbine raised $25M in a Series B led by Interactive Venture Partners to scale its virtual biology platform. * Beiersdorf Venture Capital, Accel, MSD Global Health Innovation, and Mercia participated in the round. * The company is expanding into immunology through a new partnership with a top 10 pharma company. February 24, 2026 Credits: Turbine Turbine has secured $25 million in Series B funding to scale its virtual cell technology and move into immunology. The round was led by Interactive Venture Partners, with participation from Beiersdorf Venture Capital and existing investors Accel, MSD Global Health Innovation, and Mercia. The company also announced a new immunology-focused collaboration with a top 10 pharmaceutical company, marking its first major step beyond oncology. Financial terms beyond the $25 million raise were not disclosed. Investors Back Central and Eastern Europe Innovation The funding highlights growing investor confidence in AI-driven drug discovery platforms emerging from Central and Eastern Europe. "Central and Eastern Europe has produced exceptional innovation, and Turbine stands out as one of the region's most compelling virtual biology platforms. Our team assessed the opportunity from both a technology and life sciences perspective, and we believe the ambitious team's unique capability to virtualize biological experiments with AI positions them to be among the global leaders embedding such technology into biopharma R&D," Laszlo Czirjak, Managing Partner at Interactive VP. At the same time, strategic investors are signaling interest in applying AI models beyond traditional pharma pipelines. "At Beiersdorf Venture Capital we see clear potential in AI-driven technologies such as virtual cell models that help researchers assess how active ingredients interact with skin biology, skin conditions, and safety. Our investment in Turbine reflects our interest in deep-tech approaches that could shape the future of skin research." Ascan Voswinckel, Head of Beiersdorf Venture Capital. Expanding the Virtual Lab Into Immunology With the new capital, Turbine plans to expand its platform to virtualize additional assays across drug discovery and translational medicine. Its lab-in-the-loop system will generate new proprietary perturbation datasets, helping refine its foundational virtual cell model across new tissue types and assay formats. These virtual assays are delivered through Turbine's Virtual Lab, a no-code interface designed to integrate directly into pharmaceutical research workflows. Scientists can run large-scale in silico experiments and narrow down high-confidence hypotheses before moving into wet lab validation. The newly announced immunology partnership reflects this strategy. Under the agreement, Turbine will train its virtual assays on proprietary immune datasets provided by the pharma partner. The goal is to model immune cell behavior, explore complex drug combinations, and identify which patient cohorts may benefit most. "Combination therapies have been proven to offer patient benefit. However, given the complexity of immunological diseases and the sheer number of potential combinations, virtualization is the only way scientists can rationally explore and identify the right drug combinations, as well as which patient cohorts may benefit from them. We are excited to expand into immunology, as a new therapeutic area, to build an active learning loop where simulations inform the right wet lab experiments, which in turn generate data that improves the next round of predictions to ultimately identify a number of potentially successful immunology drug combinations." Szabolcs Nagy, Co-Founder & CEO at Turbine. From Oncology to Broad Biopharma Applications Founded to accelerate drug discovery through AI, Turbine builds virtual copies of experimental assays using its foundational virtual cell model. By running experiments computationally, researchers can test millions of hypotheses that would be impractical in physical labs. The company works with major biopharma players including MSD, AstraZeneca, and Bayer. Its virtual assays have supported more than 30 discovery programs, helping research teams prioritize experiments and reduce trial-and-error cycles. Turbine positions its approach as turning biology into an engineering discipline, where iterative simulations guide experimental design. With this Series B, the company is extending that framework into immunology while broadening industrial applications.

PR Newswire
Feb 24th, 2026
Turbine Secures $25M Series B Led by Interactive Venture Partners with participation from Beiersdorf Venture Capital, Announces First Immunology Partnership with Top 10 Pharma Company

/PRNewswire/ -- Turbine, a leading virtual biology company, today announced a $25 million Series B financing, an expansion of its virtual cell platform across...

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