RAIC Labs
Richard Teller is a seasoned software professional with extensive experience in full stack development and engineering. Currently serving as a Senior Full Stack Developer at RAIC Labs, Richard collaborates with cross-functional teams to define feature goals and has implemented monitoring systems for Kubernetes clusters. Prior experience includes a role as a Software Engineer at Itron, Inc., where Richard developed efficient code and conducted code reviews, as well as an internship focused on cloud resource management and mobile application development. Richard also has a background in education, having worked as a Math Tutor and Grader at Eastern Washington University, where Richard supported students in various mathematical disciplines. Richard holds a Bachelor's degree in Computer Science from Eastern Washington University.
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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.