Founded Year

2016

Stage

Incubator/Accelerator - II | Alive

Total Raised

$37.19M

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-51 points in the past 30 days

About Turbine

Turbine specializes in oncology drug discovery through its cell simulation platform within the biopharmaceutical sector. The company offers services such as target selection, Antibody-drug conjugates (ADC) payload matching, clinical positioning, and Demand-Driven Research Initiative (DDRi)-related services, focused on improving drug discovery and development. Turbine's platform provides data science insights to identify and validate novel targets and treatments. It was founded in 2016 and is based in Budapest, Hungary.

Headquarters Location

Szigony u. 26-32

Budapest, 1083,

Hungary

+36 203129550

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ESPs containing Turbine

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

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Healthcare & Life Sciences / Drug R&D Tech

The cell & tissue analysis for drug discovery market includes platforms and technologies that enable detailed analysis of biological responses in cellular and tissue models for drug development. These solutions combine high-throughput screening capabilities with advanced analysis methods, ranging from traditional analytical techniques to AI-powered imaging and phenotypic profiling. Core technologi…

Turbine named as Leader among 14 other companies, including ThinkCyte, PhenomeX, and Immunai.

Turbine's Products & Differentiators

    ADC Payload Predictor

    The ADC Payload Predictor introduces a streamlined workflow within Turbine’s extensive AI-powered cell simulation environment, allowing users to get an early look at how simulations analyze cellular responses to selected payloads and their combinations across a range of patient-relevant cell lines in an extensive virtual sample library. The tool allows mechanistic evaluation of in silico experiments, filtering by cancer type, genetic mutations, and drug targets in order to identify potential matches for high efficacy and further development.

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Research containing Turbine

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Turbine in 6 CB Insights research briefs, most recently on Sep 19, 2025.

Expert Collections containing Turbine

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

Turbine is included in 8 Expert Collections, including Artificial Intelligence (AI).

A

Artificial Intelligence (AI)

16,578 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

D

Digital Health

12,122 items

The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.

D

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.

A

AI 100 (All Winners 2018-2025)

100 items

O

Oncology Tech

571 items

This collection includes companies applying technology to cancer care, diagnosis, and treatment. Examples include vendors offering cancer detection and diagnosis, oncology clinical decision support, real-world data, and AI oncology drug discovery.

G

Generative AI

2,951 items

Companies working on generative AI applications and infrastructure.

Latest Turbine News

Turbine and AstraZeneca partner for ADC discovery

Oct 10, 2025

The partnership will leverage Turbine’s platform and its capacity to streamline the ADC discovery process. October 10, 2025 Turbine and AstraZeneca previously partnered to investigate mechanisms of therapy resistance in haematological cancers. Turbine and AstraZeneca have entered a partnership to enhance the discovery of antibody-drug conjugates (ADCs) using the former’s virtual disease models. Free Report Unlocking ADC Innovation: Optimizing Payload, Linker, and Target Selection for Better Therapeutic Outcomes Explore how next-generation antibody–drug conjugates (ADCs) are transforming oncology and beyond. Download now to learn how innovations are optimising payload, linker, and target selection to deliver safer, more effective therapies. Thank you. Go deeper with GlobalData Combine business intelligence and editorial excellence to reach engaged professionals across 36 leading media platforms. Submit By downloading this Report, you acknowledge that GlobalData may share your information with Syngene Thematic and that your personal data will be used as described in their Privacy Policy Tick here to opt out of curated industry news, reports, and event updates Submit Visit our Privacy Policy for more information about our services, how GlobalData may use, process and share your personal data, including information on your rights in respect of your personal data and how you can unsubscribe from future marketing communications. Our services are intended for corporate subscribers and you warrant that the email address submitted is your corporate email address. The partnership will leverage Turbine’s platform to predict response mechanisms, optimise ADC positioning, and reduce reliance on extensive cell line screening. GlobalData Strategic Intelligence US Tariffs are shifting - will you react or anticipate? Don’t let policy changes catch you off guard. Stay proactive with real-time data and expert analysis. By GlobalData It will leverage Turbine’s ability to virtualise biological experiments to streamline the ADC discovery process while providing mechanistic insights. Turbine and AstraZeneca previously partnered to investigate mechanisms of therapy resistance in haematological cancers using Turbine’s Simulated Cell platform. This earlier partnership also focused on predicting combination synergy and identifying relevant biomarker candidates linked to DNA damage repair mechanisms. Turbine chief scientific officer and co-founder Daniel Veres stated: “By implementing a lab-in-the-loop approach, we can move beyond broad experimental screening toward a more efficient, targeted strategy that selects the ADC combinations most likely to succeed in patients. “This also lays the groundwork for deeper integration of our Virtual Lab into discovery workflows, helping ensure that the right experiments are run to generate the greatest impact for patients.” The companies plan to adopt a lab-in-the-loop approach to address the challenge in ADC development. This method involves Turbine’s platform, suggesting a selected subset of cell lines for testing, followed by predicting outcomes across thousands of in silico models using AstraZeneca’s ADC datasets. These datasets encompass both single-agent and combination studies, bringing discovery efforts closer to clinical outcomes. The long-term goal of the initiative is to extend similar methodologies to patient-derived models and ultimately enhance clinical care. In addition to alleviating the experimental burden, Turbine’s platform offers mechanistic insights that improve clinical translatability. The platform not only models cell survival but also alters gene expression, facilitating a better understanding of why certain cells respond to or resist treatment. Earlier in 2025, AstraZeneca, Tempus and Pathos AI partnered to develop a large-scale multimodal deep learning model designed to accelerate cancer drug discovery . ADC content on Pharmaceutical Technology (Or Clinical Trials Arena) is supported by Syngene. Editorial content is independently produced and follows the  highest standards  of journalistic integrity. Topic sponsors are not involved in the creation of editorial content. Free Report Unlocking ADC Innovation: Optimizing Payload, Linker, and Target Selection for Better Therapeutic Outcomes Explore how next-generation antibody–drug conjugates (ADCs) are transforming oncology and beyond. Download now to learn how innovations are optimising payload, linker, and target selection to deliver safer, more effective therapies. Thank you.

Turbine Frequently Asked Questions (FAQ)

  • When was Turbine founded?

    Turbine was founded in 2016.

  • Where is Turbine's headquarters?

    Turbine's headquarters is located at Szigony u. 26-32, Budapest.

  • What is Turbine's latest funding round?

    Turbine's latest funding round is Incubator/Accelerator - II.

  • How much did Turbine raise?

    Turbine raised a total of $37.19M.

  • Who are the investors of Turbine?

    Investors of Turbine include AWS Generative AI Accelerator, Accenture Ventures, MassMutual Ventures, Delin Ventures, Accel and 18 more.

  • Who are Turbine's competitors?

    Competitors of Turbine include Adaptyv Biosystems, SimBioSys, Insilico Medicine, Genedata, EpiCypher and 7 more.

  • What products does Turbine offer?

    Turbine's products include ADC Payload Predictor and 1 more.

  • Who are Turbine's customers?

    Customers of Turbine include Ono Pharmaceutical, AstraZeneca, Bayer and Cancer Research Horizons.

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