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

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
Founder of Hugging Face

Diego Oppenheimer
CEO of Algorithmia, former PM at Microsoft

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

Thomas Dohmke
CEO of GitHub
Open Source
Hyperparam is open-source first. Check out our GitHub.
Jobs
We are hiring!