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Next-Generation Discovery

"One of the biggest challenges in medicine and science today is interpretation of the massive amount of biological data being generated" - Craig Venter

Software

Literature-discovery software for ontology-based analysis of biomedical literature using 20+ categories.

Machine Learning

Trained machine learning models to extract predicate-based relationships between subject and object in biomedical literature.

NLP

Natural language processing of over 30 million bomedical documents, 30 databases and 20+ ontologies.

Feature Engineering

Combination of open and closed literature-based discovery models to find non-obvious pathways between drugs, proteins and diseases.

We are Biomedical Scientists
We are Computer Scientists
We are Software Engineers

Since 2017, we have been developing our drug repositioning / indication expansion solutions in partnerships with leading pharmaceutical companies such as Bayer and Novartis, as well as with leading academic institutes and biotechnology companies, to successfully accelerate their programs at lower cost by applying our data-driven discovery solutions.

Our team has decades of combined experience in computer science, biomedical research, and emerging biotechnology, and the company is backed by UC Berkeley Skydeck, the European Commission and Merck Accelerators, while advisors include a former medical director at Novartis and Gilead as well as the CTO at UC Berkeley.

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30000000

Documents

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150000000000

Sentences

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100

Databases

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150000000

Relationships

FAQs

  • Basic Services

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  • Advanced Services

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  • Premium Services

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  • Partnerships

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Test drive the next generation of scientific discovery - it's in the data!

We offer basic, advanced and premium tier data-driven discovery services for biomedical scientists , drug discovery scientists, clinical scientists and computational scientists. Contact us to explore a new project with us today.

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