Healthcare & Life Sciences / Drug R&D Tech
Best Digital Twins For Life Sciences R&D Companies
What is Digital Twins For Life Sciences R&D?
The digital twins for life sciences R&D market creates virtual replicas of biological systems to accelerate therapeutic development. Companies leverage AI and computational modeling to simulate disease mechanisms, predict drug responses, and optimize clinical trials. These platforms enable companies to identify drug targets, assess therapeutic efficacy, and streamline R&D while reducing physical experiments. The market serves both drug discovery and medical device development through solutions ranging from cellular simulations to patient-level modeling.
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Top Digital Twins For Life Sciences R&D Companies

United States / Founded Year: 2008
Certara provides biosimulation and tech-enabled services within the pharmaceutical and biotechnology sectors. The company offers software solutions and services for quantitative drug development, regulatory submissions, and market access strategies. These offerings aim to aid the drug discovery and development process, data analysis, and regulatory approval of new medicines. It was founded in 2008 and is based in Princeton, New Jersey.
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Korea Institute of Toxicology, European Medicines Agency, Peking Union Medical College Hospital, and 2 more
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Aitia operates as a biotechnology company. It utilizes causal artificial intelligence (AI), multi-omic patient data, and Gemini Digital Twins to study the biological mechanisms of diseases in the oncology and neurodegenerative disease sectors. The company aims to create computational representations of diseases to assist in the development of therapies. It was founded in 2000 and is based in Somerville, Massachusetts.
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France / Founded Year: 0000
Dassault Systèmes offers virtual twin technologies and operates within the software and technology industry. It offers three-dimensional (3D) modeling and simulation applications, as well as virtual twin experiences that cover the product lifecycle, from design to delivery. It serves sectors such as manufacturing, life sciences, and infrastructure & cities. It was founded in 1981 and is based in Velizy-Villacoublay, France.

DeepLife is a biotech company that specializes in the development of digital twins of cells for the drug discovery sector. The company offers a software-as-a-service (SaaS) platform that utilizes deep learning algorithms on multi-omics sequencing data to model and engineer cell behavior, supporting the target identification process in drug development. DeepLife serves the biotech and pharmaceutical industries and the academic research community. It was founded in 2019 and is based in Paris, France.
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Germany / Founded Year: 0000
Siemens focuses on industry, infrastructure, mobility, and healthcare. The company offers services and products designed to integrate the real and digital worlds, thereby operating in factories, urban environments, and transportation systems. Siemens was formerly known as Siemens & Halske. It was founded in 1847 and is based in Munich, Germany.

Unlearn focuses on artificial intelligence and digital twin technology within the clinical research sector. The company provides a platform that creates digital twins of clinical trial participants to predict outcomes and streamline the trial process. Unlearn's solutions aim to improve clinical trials by offering insights and decision support. It was founded in 2017 and is based in San Francisco, California.
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Virtonomy specializes in digital twin technology for the healthcare sector, focusing on medical device development and regulatory support. The company offers a platform for virtual clinical trials, enabling developers to simulate and test medical devices in a virtual environment. Virtonomy's services cater to the medical device industry, providing solutions for a wide range of devices including heart valves, stents, and catheters. It was founded in 2019 and is based in Munich, Germany.
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The ESP matrix leverages data and analyst insight to identify and rank leading private-market companies in a given technology landscape.
What is Digital Twins For Life Sciences R&D?
The digital twins for life sciences R&D market creates virtual replicas of biological systems to accelerate therapeutic development. Companies leverage AI and computational modeling to simulate disease mechanisms, predict drug responses, and optimize clinical trials. These platforms enable companies to identify drug targets, assess therapeutic efficacy, and streamline R&D while reducing physical experiments. The market serves both drug discovery and medical device development through solutions ranging from cellular simulations to patient-level modeling.
Expert Collections
Market Map
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Do you compete within Digital Twins For Life Sciences R&D?
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Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.