We build tools to understand data.

By marrying technology with thoughtful design, we are able to make data more accessible, comprehensible, and useful.

For the last several decades, data-heavy applications and systems were built from the standpoint of “How can this data be stored?” with a focus on the necessary infrastructure to contain the information in question. That resulted in tools that are useful on paper because they check off the necessary requirements, but that ultimately fall short because they ignore the human side of the equation.

Realizing their existing process for exploring and updating the model would only find or confirm what they already knew, the team from the Markus Covert Lab at Stanford approached us about finding a more accessible and insightful way to work with their information.

Our process is the opposite: we first ask “How is this information going to be used?” We build interfaces that support users who want to work with data in efficient and intuitive ways. Starting with an early prototype that runs on real data, we continuously revise the design to uncover the information with all its subtlety and nuance, while removing the extraneous details.

Because of our background in developing end-to-end technologies, we’re able to craft sophisticated server and storage systems that support remarkably fluid interaction on the frontend, and considerable scale on the backend. The result is a new way to think about tools.

Laniakea maps the entire landscape of a document set according to its most meaningful content, enabling users to quickly grasp and navigate thousands or even millions of documents.

Our expertly designed tools take novel approaches to address common data problems we’ve encountered through years of working with clients and their data. From healthcare to finance to non-profits to consumer products, our experience enables us to build tools at the state of art.