At least 6 months
to build a genomics pipeline
Weeks
to identify an error in a workflow
20%
of our expenses due to mistakes in the pipeline
Easily use drag & drop builder, toolkits, data libraries, and custom pre-built workflows to streamline creation
Share data, outputs, and analysis easily with remote teams on one platform
Scale big data handling with IBM public cloud, executing your work quickly and efficiently
We are a team of scientists, engineers, biologists, bioinformaticians, and entrepreneurs that have decades experience in statistical analyses in epidemiology, microbiology, and food safety.
We first united in the creation of a tool for WGS workflows, and found huge pain points that existed in developing tools to build pipelines. It became evident these frictions were not only common, but ultimately a large barrier in scientific discovery.
So we decided to stop solving these problems individually, and build something that can enable others to push their genomic boundaries forward.