RAIC Labs
Caley Heekin is a professional with experience in various roles such as Technical Operations at Synthetaic, Director of Lender Growth & Success at Scratch, and Head of Revenue Operations at Descartes Labs. Caley also has a background in law, having worked as an Attorney at Paul Hastings LLP and as a Senior Executive Editor at the California Law Review. With a degree in Mathematics and Philosophy from UC Santa Barbara and a J.D. from the University of California, Berkeley - School of Law, Caley brings a diverse skill set to the table.
This person is not in any offices
RAIC Labs
1 followers
We've rebranded, Synthetaic is now RAIC Labs! Quickly derive insights from large, unlabeled geospatial, video, and image datasets without time-intensive human labeling or pre-built models. Rapid Automatic Image Categorization (RAIC) is an unbiased tool that meets users’ ever-changing analytic demands for their perpetually evolving datasets, in an unrivaled timeline. RAIC enables users to find and classify anything in minutes, not months, without labeled data. Simply provide a single example object image and RAIC will find similar objects in your unlabeled dataset and return contextually-related results. You can then improve the AI by identifying the best results through an intuitive human nudge tool. From there, you can run inference jobs and turn results into insights using dashboarding tools or existing analytics platforms.