David Vessie

Director Strategic Accounts at RAIC Labs

David Vessie has over 20 years of experience in various sales and leadership roles. Currently, they serve as the Head of Sales at Insight Catastrophe Managers, where they lead the sales team and helps insurance firms achieve underwriting profits through real-time analytics and portfolio analysis. Prior to this, they worked as the Director of GTM - Strategic Accounts at Synthetaic, where they played a crucial role in developing their machine learning solution. David has also served as the Director of Sales at G73 Data Solutions, Director Socal at Neo4j, and Enterprise Account Executive at Alteryx, Inc., among other positions. David has a strong background in sales, with experience in industries such as insurance, technology, and geospatial data.

David Vessie received a Bachelor of Science degree in Biology from Dalhousie University, which they attended from 1993 to 1998. In 1999 to 2000, they obtained an Advanced Diploma in Marine Geomatics from Nova Scotia Community College - NSCC. Prior to their university education, David Vessie completed their high school education at Bathurst High School, where they received a diploma with honors from 1990 to 1993. In terms of additional certifications, they obtained certifications in "Jodi Glickman on Pitching Yourself," "Becoming Head of Sales: Developing Your Playbook," and "Selling with Stories" from LinkedIn in 2018, although the specific months of completion are not provided.

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Laguna Beach, United States

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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.