Synthesis AI Closes $17 Million Series A

Synthesis AI, a San Francisco-based technology company, is pioneering the use of synthetic data to build more capable computer vision models. Through a proprietary combination of generative neural network and cinematic CGI pipelines, Synthesis’ platform can programmatically create vast amounts of perfectly-labeled image data at orders of magnitude increased speed and reduced cost compared to current approaches.

SAN FRANCISCO &&num;8212&semi; Synthesis AI, a developer of synthetic data technologies to build advanced computer vision AI models, has closed &dollar;17 million in Series A financing led by new investor 468 Capital, with additional participation from Sorenson Ventures and Strawberry Creek Ventures and existing investors, Bee Partners, PJC, iRobot Boom Capital and Kubera Venture Capital&period;&NewLine;The latest round brings Synthesis AI&&num;8217&semi;s total funding to over &dollar;24 million&period; The new funds will allow Synthesis AI to grow its world-class team and introduce new products to enable companies to build more advanced computer vision models faster&period; The company also plans to expand research surrounding the intersection of CGI and AI with a focus on neural rendering, mixed training (real and synthetic), and modeling of complex human behavior&period;&NewLine;&&num;8220&semi;Synthesis AI is uniquely positioned to win in the emerging synthetic data space&period; The breadth and depth of Synthesis AI&&num;8217&semi;s platform, the quality of the team, and the extensive list of Fortune 50 customers firmly establish Synthesis AI as a category leader, &&num;8221&semi; said Florian Leibert, partner at 468 Capital&period; &&num;8220&semi;We are excited to support Synthesis AI as they push forward their vision to transform how AI models are fundamentally developed&period;&&num;8221&semi;&NewLine;Synthesis AI is expanding its HumanAPI solution to support the development of advanced digital humans, with new functionalities for pose estimation, action recognition, and high-density landmarks&period; The new capabilities enable advanced applications in the metaverse, Augmented Reality (AR), Virtual Reality (VR), and others in generated media, home &amp&semi; enterprise security, and AI fitness&period;&NewLine;&&num;8220&semi;Last year was a momentous year, and we&&num;8217&semi;re excited to continue growing our teams and products with the support of our terrific investors,&&num;8221&semi; said Yashar Behzadi, CEO of Synthesis AI&period; &&num;8220&semi;Synthetic data is at an inflection point of adoption, and our goal is to develop the technology further and drive a paradigm change in how computer vision systems are built&period; The industry will soon fully design and train computer vision models in virtual worlds enabling for more advanced and ethical AI&period;&&num;8221&semi;&NewLine;

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