RAIC Labs
Daniel Harper has a Master of Science degree in Artificial Intelligence from the University of Georgia. Daniel's work experience includes roles such as AI/ML Engineer at Synthetaic, App Developer at WIRTGEN GROUP, and Technical Undergraduate Intern at Cisco. Daniel has also worked as a Tier 1 IT Technician at ClearLink Technology Solutions and as a Customer Service Representative at Newton Ray Company. Daniel is passionate about using AI to create solutions for global and societal issues.
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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.