What we do

Pine biotech was founded by a team of biologists, clinicians, mathematicians, and computer scientists that agreed on the critical role big data will play in biomedical research, biotechnology and agriculture. But to leverage such data to its greatest potential, all those who generate, analyze and interpret such data must be able to work with it. With growing data availability, yet its heterogeneity and complexity, it is not sufficient to design innovative algorithms to detect patterns. To go from patterns to insights, people – biologists, clinicians, students, technicians – need to be empowered to work with data independently. That’s why our founding team united behind the vision to simplify bioinformatics. By offering hands-on learning with user-friendly analytical solutions, we envision more people to be equipped for data-driven, reproducible research which solves biomedical, biotechnology, and agro-technology challenges and help more people live happier and healthier lives.


Our solutions were designed by scientists to help others do real science. Our core technology is a big data analysis platform developed at the Tauber Bioinformatics Research Center at the University of Haifa, Israel. The founding team worked to help solve real scientific problems funded by grants and collaborations with academia and industry partners around the world. That’s why we don’t believe in black boxes, fancy labels, and magical results. The T-Bio.Info platform is a “glass box” — you can see exactly what you are doing at each step and what other options are available for the same task. From processing to analysis and integration, we strive to eliminate the complexity of technical challenges, not simplify the process to the point of a single template that every project must follow.

 This approach allows flexibility and scalability and after the analysis has been completed, you know how all the pieces fit together. Our A.I. engine provides guidance along the way helping eliminate common mistakes. Informative pop-ups with references and examples will help you learn from curated datasets and explore open-source software utilized by experts in their fields. Helpful scripts and alternatives, combined in logical sections can help troubleshoot and mine your data until you can rely on your results.


Scientists need to be enabled to make research discoveries, but they don’t need to be proficient at coding or installing obscure packages on Linux to do so. Every student needs to be enabled with data skills and analysis logic to succeed in their research, excel in careers and be ready for the world of data we live in. Schools, universities and colleges need to be equipped to help faculty and students learn and use data

Our OmicsLogic Program makes complex topics like bioinformatics, machine learning and systems medicine easy to incorporate into existing curricula and help students and faculty transition to data-driven research projects. Utilizing our proprietary T-Bio Informatics Platform researchers can explore systems biology at multi-omics scale and define the interplay between subcellular regulation, molecular structures, disease and treatment. These solutions provide data analysis, modeling and machine learning all in a consistent and user-friendly environment that is driven by artifical intelligence and designed with human experience.


Beyond our core technology, we offer a number of services, leveraging our expertise in data science and experience in many research areas:

Data Science & Bioinformatics
Services and Consulting

  • Data science services and solutions
  • Machine and deep learning for biomedical data
  • Development of new pipelines for processing of -omics data
  • Image and video analysis methods for phenotypic data
  • Research project collaborations and support 

Application Development &
Infrastructure Solutions

  • Bioinformatics hardware and software solutions
  • Specialized analysis, integration and visualization
  • Applications for data annotation and integration
  • Big data integration for clinical and wellness apps
  • Research devices for data capture


  • Independent, virtual learning with our online data science courses
  • In-person bioinformatics workshops with practical examples to take straight from the classroom to the bench
  • University / college accreditation and certification in data science based on a collaborative curriculum development and support for research projects led by faculty
  • Implementation of an educational program on your campus that promotes active research and transforms students into contributors
  • Career transition support through expanded, transferable skills
Find out more how we do it in our case studies with Amity University Noida, Georgetown University Medical School, Louisiana State University and many others.

Case studies: Credit-Based Course Work on Biomedical Data Science Training

Omics Logic Training Resources

We provide products, solutions and services so that everyone can analyze data and make new discoveries – without ever having to code.  For further inquiries, please contact us:

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