Healthcare & Life Sciences / Drug R&D Tech

Best Digital Twins For Life Sciences R&D Companies

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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

Certara logo
Certara

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.

Aitia logo
Aitia

United States / Founded Year: 0000

Aitia focuses on the development and application of Causal AI and Digital Twins in the pharmaceutical industry. The company's main services include the discovery of drugs for neurodegenerative disorders, oncology, and immunology by revealing hidden biological mechanisms of diseases and creating Digital Twins. It is used to discover novel therapies and accelerate research and development in various diseases such as Alzheimer’s Disease, Parkinson’s Disease, Huntington’s Disease, multiple myeloma, prostate cancer, and pancreatic cancer. It was founded in 2000 and is based in Cambridge, Massachusetts.

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Unlearn logo
Unlearn

United States / Founded Year: 0000

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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All Companies in Digital Twins For Life Sciences R&D

DeepLife logo
DeepLife

France / Founded Year: 0000

DeepLife focuses on digital twins of cells for drug discovery. It develops a SaaS platform that utilizes multi-omics data, AI, and systems engineering to identify molecular triggers that can revert diseased cells to a healthy state. It primarily serves the biotech and pharmaceutical industries. It was founded in 2019 and is based in Vernon, France.

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Virtonomy logo
Virtonomy

Germany / Founded Year: 0000

Virtonomy focuses on accelerating medical device development through the use of digital patient twins in the healthcare technology sector. The company offers an end-to-end digital twin and simulation solution that allows medical device developers to conduct development and testing in a virtual environment, leveraging a database of clinical data to simulate anatomical variability and pathological conditions. Virtonomy's services are primarily utilized by the medical device industry to enhance product development and streamline regulatory processes. It was founded in 2019 and is based in Munich, Germany.

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Our Methodology

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

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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.