AI-bioinformatics combines the power of artificial intelligence and biotechnology to provide advanced solutions in healthcare, life sciences, and drug development industries. The companies operating in this industry mainly focus on developing innovative applications that can predict disease outcomes, improve treatment methods, and foster precision medicine. They offer products and services like AI algorithms for medical imaging, predictive analytics, data-driven drug discovery and development, and advanced patient data analysis. With AI becoming more sophisticated, the AI-bioinformatics industry is geared towards unlocking new possibilities in personalized healthcare and advanced therapeutic solutions.


Top 21 AI-Bioinformatics Companies

1. Fractal

  • Website: fractal.ai
  • Headquarters: New York, New York, United States
  • Founded: 2000
  • Headcount: 1001-5000
  • Latest funding type: Private Equity
  • LinkedIn

Fractal.ai is an analytics company that specializes in providing AI-powered solutions for a wide range of industries including Consumer Packaged Goods, Retail, Healthcare & Life Sciences, Financial Services, Technology, Media, Telecom, and Insurance. They offer innovative products and services such as conversational AI platform, image and video analytics, revenue growth management, and AI algorithms for medical imaging.


2. Owkin

  • Website: owkin.com
  • Headquarters: New York, New York, United States
  • Founded: 2016
  • Headcount: 201-500
  • Latest funding type: Series B
  • LinkedIn

Owkin is an AI biotech company that applies AI to patient data to advance precision medicine and improve treatment methods. Their solutions help pre-screen for biomarkers and predict outcomes, making precision medicine more accessible. They bridge innovation challenges between biopharma and academic researchers and close the translational gap between complex biology and new drugs.


3. insitro

  • Website: insitro.com
  • Headquarters: South San Francisco, California, United States
  • Founded: 2018
  • Headcount: 51-200
  • Latest funding type: Series C
  • LinkedIn

Insitro is a company focused on reimagining drug discovery and development through the integration of biology and machine learning. Their team of scientists, engineers, and drug hunters work together to generate and leverage data to advance tomorrow's medicines.


4. Shanghai AI Laboratory

  • Website: shlab.org.cn
  • Headquarters: 上海市, 上海市, China
  • Founded: 2020
  • Headcount: 201-500
  • LinkedIn

The company is engaged in advanced research in the field of artificial intelligence, including machine learning, deep learning, and knowledge computation. They focus on interdisciplinary research and explore data-driven scientific research. They offer foundational software and hardware systems for artificial intelligence.


5. Standigm

  • Website: standigm.com
  • Headquarters: Seoul, Seoul-T&S;Ukpyolsi, Korea (the Republic of)
  • Founded: 2015
  • Headcount: 51-200
  • Latest funding type: Series D
  • LinkedIn

Standigm is a company that offers innovative solutions for drug discovery and development using artificial intelligence and machine learning technologies.


6. BISC Global

BISC Global is a bioinformatics company offering bioinformatics services, biostatistics, machine learning, and data analysis solutions in the life sciences industry. With offices worldwide, they specialize in data integration, pipeline development, automation, and cloud solutions.


7. BioLizard

BioLizard is a bioinformatics consultancy company that offers end-to-end solutions for various data needs. Their in-house developed bioinformatics software platforms provide high-quality and reproducible results. They specialize in data management, scientific data analysis, data mining, machine learning, and artificial intelligence.


8. CodeCool BioData Mining Group

  • Website: codecool.ir
  • Headquarters: Tehran, Tehran, Iran (Islamic Republic of)
  • Founded: 2018
  • Headcount: 11-50
  • LinkedIn

Codecool.ir is a company specializing in bioinformatics and computational biology. They offer education, research, and analysis of various biological data.


9. Oncobox

  • Website: oncobox.com
  • Headquarters: Walnut, California, United States
  • Founded: 2015
  • Headcount: 11-50
  • Latest funding type: Seed
  • LinkedIn

Oncobox.com is an AI-powered precision medicine platform for cancer, providing oncologists with actionable clinical insights through genetic analysis and machine learning algorithms.


10. Protai

  • Website: protai.bio
  • Headquarters: Tel Aviv, Tel Aviv, Israel
  • Founded: 2021
  • Headcount: 1-10
  • Latest funding type: Seed
  • LinkedIn

Protai has built an end-to-end AI-based platform that comprehensively maps the course of disease on the protein level, enhancing the ability to observe cellular function and improve the way new drugs are discovered.


11. SensOmics Inc

  • Website: sensomics.com
  • Headquarters: Burlingame, California, United States
  • Founded: 2015
  • Headcount: 11-50
  • Latest funding type: Seed
  • LinkedIn

SensOmics provides software support for high-throughput sequencing analysis and system development for UI, cloud communication, etc. The company works with researchers to link molecular networks to autism spectrum disorders and early detect pediatric diseases. They offer cutting-edge technologies that integrate genomics with clinical informatics, electrical engineering, and artificial intelligence.


12. omicX

  • Website: omictools.com
  • Headquarters: Petit-Quevilly, Normandie, France
  • Founded: 2013
  • Headcount: 11-50
  • LinkedIn

OmicX develops AI assistants that read scientific papers and identify computational protocols or tool combinations used, reducing research time and speeding up therapy development. Their search engine is built by scientists for scientists, using machine learning models from manually curated data templates.


13. DeepNGS

DeepNGS is an intelligent next-generation sequencing platform that offers a secure, agile, and easy-to-use solution for optimal accuracy in genomic data analysis.


14. Centre of Bioinformatics Research and Technology

Centre of Bioinformatics Research and Technology is a scientific organization engaged in bioinformatics research, development and innovation. Centre of Bioinformatics Research and Technology's aim is to attain new heights in bioinformatics research. Centre of Bioinformatics Research and Technology will act as a catalyst to advance innovations in bioinformatics, chemoinformatics, nanoinformatics, neuroinformatics, immunoinformatics, artificial intelligence research, education and training for the benefit of society and the environment. Providing bio-entrepeneurship training to support and facilitate the development of business skills necessary for sustainable biotechnology ventures, and the development of bio-entrepreneurs. Centre of Bioinformatics Research and Technology's mission is to maximize the benefits of bioinformatics to the nation by being an excellent quality, comprehensive bioinformatics centre that supports, coordinates, disseminates and advances bioinformatics.


15. Superbio.ai

  • Website: superbio.ai
  • Headquarters: Palo Alto, California, United States
  • Founded: 2021
  • Headcount: 11-50
  • LinkedIn

Superbio.ai is a company that offers AI solutions for businesses. They provide advanced analytics and machine learning algorithms to help companies optimize their operations, improve decision making, and increase efficiency.


16. Celbridge Science

CelbridgeScience is a data analytics firm that leverages artificial intelligence and machine learning technologies to provide services and solutions across various sectors such as pharmaceuticals, bioinformatics, and life sciences. Their offerings include AI as a service, analytics as a service, and scientific data analytics.


17. Lynntech, Inc.

  • Website: lynntech.com
  • Headquarters: College Station, Texas, United States
  • Founded: 1987
  • Headcount: 51-200
  • Latest funding type: Acquired
  • LinkedIn

Lynntech is a company specializing in engineering algorithms and computational methods to reveal information that is beyond human capability. They offer innovative technologies in a variety of fields, including biological threat and disease detection, proton exchange membrane fuel cells, oxygen concentrators, and additive manufacturing. Their team is dedicated to developing solutions for human health, optimizing energy systems, and providing expertise and support for prototyping, testing, and advanced development.


18. Ivado

  • Website: ivado.ca
  • Headquarters: Montréal, Quebec, Canada
  • Founded: 2015
  • Headcount: 51-200
  • LinkedIn

IVADO is a collaborative research and entrepreneurship platform that focuses on artificial intelligence (AI). They bring together research communities, organizations, and institutions to generate AI-driven solutions for the future. IVADO works with their partners to ensure that knowledge leads to innovative solutions. They offer training, research projects, and opportunities for collaboration.


19. Alaska Inter-Tribal Council

  • Website: aitc.org
  • Headquarters: Anchorage, Alaska, United States
  • Headcount: 11-50
  • LinkedIn

AITC is an international conference focused on Artificial Intelligence tools and applications. The conference covers a variety of topics, including data mining, machine learning, robotics, and soft computing theory.


20. Pittsburgh Health Data Alliance

The Pittsburgh Health Data Alliance is a collaboration between Carnegie Mellon University, The University of Pittsburgh, and UPMC to turn healthcare data into improved human health.


21. UBC Data Science Institute

  • Website: dsi.ubc.ca
  • Headquarters: Vancouver, British Columbia, Canada
  • Founded: 2016
  • Headcount: 11-50
  • LinkedIn

The DSI is a Faculty of Science initiative designed to incubate and accelerate research, innovation and training in data-intensive science. The DSI works to enable the formation of interdisciplinary research teams to advance data science research and to apply new techniques to complex problems faced across domains, including health, science and arts. The DSI provides a collaboration hub to enable inter-faculty interactions on research problems involving large and complex data sets. It also enables organizations outside the university to access the diverse inter-faculty expertise at UBC related to complex data analysis and modelling. To advance this agenda, the DSI: 1) Facilitates the formation of interdisciplinary research teams to advance data research and development. 2) Provides comprehensive training opportunities to data scientists at the post-doctoral level. 3) Serves as an entry-point for partners seeking access to UBC’s world-class expertise in managing, analyzing and leveraging data at scale. 4) Enables a network of researchers, units and organizations to develop collaborative tools and solutions for their data-rich applications.


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