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Synthetaic Raises Series B to Expand Image Data Insights

RAIC image analysis. Credit: Synthetaic

Ibadan, 7 February 2024. – Synthetaic has raised $15 million in Series B funding from new and existing investors, accelerating the Company’s commercialization of RAIC, a dual-use model-independent classification and detection platform for image data. Lupa Systems and TitletownTech both co-led the round, with participation from IBM Ventures and Booz Allen Hamilton.

This latest round will accelerate customer acquisition and capture new market opportunities for Synthetaic’s AI-powered data analysis solutions. Synthetaic’s RAIC platform offers a streamlined solution for quick and cost-effective object search within raw image data, including full-motion video and satellite imagery. This innovation significantly reduces the complexities associated with unlocking the full potential of massive, unstructured image datasets, providing businesses with immediate insights via rapid search and iterative AI model training.

For example, Synthetaic successfully traced the full path of a suspected Chinese spy balloon in geospatial satellite data. Starting from a hand-drawn sketch, RAIC took only two minutes to return a match after combing through 18 trillion pixels of Earth observation imagery. RAIC’s capabilities cover satellite imagery, full-motion video, drone photography, infrared thermography, and other image data types, catering to both commercial and federal sectors

Corey Jaskolski, Synthetaic CEO and Founder, said, “Over the past year, we’ve proven that when it comes to your data, if you can see it, RAIC can search it. The next chapter is about bringing that technology to market so that companies across all industries can find the seemingly impossible answers locked inside their visual datasets.”

TitletownTech Managing Director and Synthetaic Board Member Jill Enos commented about RAIC, “With the volume of image and video data that companies have previously been unable to take advantage of, Synthetaic now provides an incredible new capability to make that data useful and valuable.”

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