Superb AI Secures $9.3 Million to Extend Leadership in Training Data Automation
Superb AI, one of the world’s most powerful AI-enabled training data platforms, today announced it has completed a $9.3 million Series A round of financing. Atinum Investment led the round with participation from existing and new investors including Premier Partners, Stonebridge Ventures, Murex Partners, KT Investments, and Duke University’s Angel Network. The investment brings Superb AI’s total funding since launching its transformative AI training data platform to $11.3 million and will help the three-year-old company ramp up hiring and scale customer adoption, as well as expand and accelerate product development.
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The Series A financing builds on an exceptional year for Super AI which saw a rapidly growing roster of customers and extraordinary momentum in the emerging area of computer vision and enterprise-grade training data. Blue-chip clients include Samsung Electronics, Qualcomm, and LG.
Led by recognized industry leader Hyunsoo (Hyun) Kim, a Y Combinator alumnus recently featured in Forbes 30 Under 30 Asia 2020 list, Superb AI is taking a unique approach to AI training data, helping companies automate the time-consuming process of labelling, managing and delivering training data.
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“This new funding is a reflection of the success we have had in establishing product-market fit and growing our customer base,” said Kim, Co-Founder and CEO of Superb AI. “The financing will allow us to rapidly scale the business while meeting the growing needs of our customers. Because our deep learning AI can label and analyze images and videos up to 10 times faster than manual processes, we are able to eliminate many of the traditional bottlenecks and allow every industry to more easily adopt AI technology.”
Not only does it take a long time for humans to manually label images from scratch, it also requires tremendous resources and effort to figure out if the labels themselves are accurate. This is called data auditing and it is becoming a critical area of focus in the industry, especially for companies that use hundreds of thousands—or even millions—of images to train and retrain their AI models.
“Many AI platforms claim to offer automation but in reality they only deliver a slightly faster way for humans to manually label images,” said Jung Kwon Lee, Co-Founder and CTO, Superb AI. “What’s more, many AI-assisted tools don’t provide any value when it comes to labeling edge cases, or difficult examples. In those cases, manually labeling is still required. Superb AI is different because it provides a truly automated solution for any company at any stage of maturity. All the labeling, auditing, and workflow tools necessary to expedite the QA and delivery of training datasets are conveniently packaged in the Superb AI platform.”
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