HypaHub: Redefining biomedical data science experience

DIVE IN DEEP,

SEE IT THROUGH.

We disperse data science expertise across an organization and around the world, bringing you a brand new experience of data no matter where you are and where you belong, from research to industry.

Our Product

We democratize bioinformatics and biomedical data science by simplifying the process and analysis of big data, including fostering collaboration, breaking silos, as well as automating sophisticated analytics, leveraging innovative technologies, and utilizing artificial intelligence to advance our understanding in biomedicine.

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Maximize your Productivity

ROBUST INFRASTRUCTURE

TOOLCHAIN INTEGRATION

HypaHub takes care of your code, apps, and data, as well as making tools and databases available for your work and your team so you can focus on creating values and intellectual properties.

We understand your way is the best for your work. HypaHub integrates well with many tools, from the toolchains you use, such as GitHub and Slack, to the application workflows you develop.

SEAMLESS ANALYTICS

GLOBAL COLLABORATION

HypaHub offers state-of-the-art and easy-to-use analytics and AI frameworks. We also carefully select the best tools for your daily work. You can customize or write your own, and seamlessly scale with big data.

Using HypaHub's collaborative platform, it maximizes your resources and fosters communication. You will work with the right people not only within your organization but also around the world.

Our Service

BEST PRACTICES

FULL AUTONOMY

All our team members are experts in the field with years of experiences. We provide our best to guide and assist you throughout your engagement.

Our services are customizable under your own preference. Owning your data-analysis ensures the intactness and security of your unique design.

Our Vision

Everyone can be a data scientist

be it a lab scientist who generates data from experiments, be it a data expert who mines for insights, be it an engineer who builds software to scale data processing, be it a student who analyzes human genomes for a project.