Synthetaic, an AI startup specializing in visual data analysis, has secured $15 million in Series B funding from a consortium of investors, including Lupa Systems, TitletownTech, Booz Allen Hamilton, and IBM Ventures. This funding marks a significant milestone for the company as it continues to advance its innovative RAIC platform, designed to streamline object search within raw image datasets.
Led by CEO and Founder Corey Jaskolski, Synthetaic aims to address the challenge of efficiently extracting insights from large volumes of image and video data. The RAIC platform offers a cost-effective solution for businesses across industries, enabling rapid search and iterative AI model training.
Jaskolski emphasized the platform’s ability to unlock valuable insights hidden within visual datasets, stating, “Over the past year, we’ve proven that when it comes to your data, if you can see it, RAIC can search it.” With applications spanning satellite imagery, full-motion video, drone photography, and infrared thermography, RAIC caters to both commercial and federal sectors.
Synthetaic’s recent achievements include tracing the path of a suspected Chinese spy balloon using geospatial satellite data, showcasing the platform’s capabilities in facilitating rapid analysis of complex visual data. Collaborations with media outlets like CNN and The New York Times further demonstrate the platform’s potential for driving impactful investigations and reporting.
The Series B funding will support Synthetaic’s efforts in customer acquisition and market expansion, enabling the exploration of new enterprise use cases. Partnerships with industry leaders such as Microsoft and Planet Labs underscore Synthetaic’s commitment to leveraging cutting-edge technology to drive innovation in visual data analysis.
Founded in 2019, Synthetaic remains dedicated to its mission of leveraging AI for positive impact, collaborating with organizations such as the United Nations, The Nature Conservancy, and National Geographic. As the company continues to push the boundaries of what is possible in visual data analysis, the implications for industries ranging from security and defense to conservation and agriculture are profound.