AIMMO uses software and humans to label and categorise image, video, sound, text and sensor fusion data. The company has built an AI data annotation platform, enabling the data labeling faster for enterprises.
AIMMO announced it has raised $12 million in a Series A round to advance its data labeling technology and spur global expansions. Seven venture capital firms participated in the latest round: DS Asset Management, Industrial Bank of Korea, Hanwha Investment & Securities, S&S Investment, Toss Investment, Korea Asset Investment & Securities and Venture Field. AIMMO declined to comment on its valuation.
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“The pandemic accelerated transforming contactless technology with AI deployment for intelligence surveillance, smart city, autonomous driving, smart factory and robotics where AI data is inevitably needed,” Doyle Chung, Head of Global Sales of AIMMO, said in an email interview. “Among all the directions and industries, our focuses are [mainly] smart city and autonomous driving.”
Founded in 2016 by chief executive officer SeungTaek Oh, the startup has three data annotation tools: AIMMO DaaS, which manages sensor fusion data for autonomous vehicle corporations; AIMMO GtaaS, a turnkey-based platform for big data; and AIMMO Enterprises, launched in 2020, a web-based SaaS annotation labeling tool using cloud architecture.
