RAIC Labs
Danny Shea is an experienced Business Development Representative currently working at RAIC Labs, focusing on helping customers leverage visual data from diverse sources. Prior experience includes a successful tenure at Leyton, where revenue attainment reached 125%, and at Acquia, with 100% quota attainment and over $1.85 million in qualified pipelines. Danny also has a background in sales training and virtual selling from Vector Marketing Corp and extensive experience in customer relations as a caddie at Sacconnesset Golf Club. Danny holds a Bachelor of Arts in Political Science and Government from Trinity College-Hartford and has further educational experience at the University of Calabria.
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RAIC Labs
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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.