RAIC Labs
Akasha Sutherland is an intrepid explorer, diver, and conservationist who strives at connecting communities, businesses, and institutions with their ever-changing environments. Prior to joining Synthetaic, Akasha served as the director of communications for 3D media and digitization company, Virtual Wonders, where she led scanning expeditions to some of the world’s most treasured cultural and natural sites. Having worked in countless chapters of conservation and on action-based media campaigns around the world, Akasha’s role at Synthetaic focuses on developing and maintaining relationships with NGO’s, protected areas, and large collaborators like National Geographic Society. Today, Akasha is intent on using Synthetaic’s core IP and impact-based mission, to harness the power of machine learning, in order solve some of the planets most pressing environmental challenges.
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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.