About Hyperparam

Everyone evaluates AI models. We evaluate data.

Hyperparam enables AI and ML engineers, data scientists, researchers, and product teams to deeply understand their data by providing a powerful tool for interactive analysis of AI datasets at scale.

Our mission is to use the browser, the only tool for building modern UIs, to empower users to instantly see their AI data and act on what they find. By leveraging modern web APIs combined with an obsessive focus on speed and architecture, we’re building the world’s most scalable UI for dataset visualization and improvement.

Because we believe strongly in the human-in-the-loop ethos, Hyperparam’s UI puts the expert in the driver’s seat. On top of that, models provide the efficiency gains needed for the user to single-handedly explore, curate, and transform datasets, without the support of an entire team. Our machine learning models reflect back on their own training and assist in finding “good” vs. “bad” data.

Combine our new, scalable UI with methods for evaluating AI data, and you have Hyperparam: a powerful client-side engine for iteratively developing the world’s best quality AI datasets.

Team

Kenny Daniel

Kenny Daniel

Founder

Kenny has spent his entire career working to advance the state of the art in AI. Co-founded Algorithmia and now Hyperparam.

Snoo B. Rabbit

Snoo Snoo B. Rabbit

Code Review Bunny

Snoo, our adorable bunny COO, ensures smooth operations with a hop in her step and will do anything to make number go up (number of treats).

Advisors

Clem Delangue

Clem Delangue

Founder of Hugging Face

Diego Oppenheimer

Diego Oppenheimer

CEO of Algorithmia, former PM at Microsoft

Jeffrey Heer

Jeffrey Heer

Professor at University of Washington (Trifacta, D3.js, Vega, Altair)

Thomas Dohmke

Thomas Dohmke

CEO of GitHub

Open Source

Hyperparam is open-source first. Check out our GitHub.

Jobs

We are hiring!