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AIMMO bags $12M Series A to advance data labeling technology   – FiratNews

AIMMO bags $12M Series A to advance data labeling technology   – TechCrunch

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Most synthetic intelligence fashions are skilled by supervised studying, which means that people should label uncooked information. Knowledge labeling is a essential a part of automating synthetic intelligence and machine studying mannequin, however on the identical time, it may be time-consuming and tedious work.

A Korean startup known as AIMMO, which makes use of software program and people to label and categorize picture, video, sound, textual content and sensor fusion information, constructed an AI information annotation platform, enabling the information labeling quicker for enterprises. 

AIMMO introduced right this moment it has raised $12 million in a Sequence A spherical to advance its information labeling know-how and spur world expansions. Seven enterprise capital corporations participated within the newest spherical: DS Asset Administration, Industrial Financial institution of Korea, Hanwha Funding & Securities, S&S Funding, Toss funding, Korea Asset Funding & Securities and Enterprise Discipline. AIMMO declined to touch upon its valuation.

“The pandemic accelerated remodeling contactless know-how with AI deployment for intelligence surveillance, sensible metropolis, autonomous driving, sensible manufacturing facility and robotics the place AI information is inevitably wanted,” Doyle Chung, Head of World Gross sales of AIMMO, mentioned in an e mail interview. “Amongst all of the instructions and industries, our focuses are [mainly] sensible metropolis and autonomous driving.” 

Based in 2016 by chief government officer SeungTaek Oh, the startup has three information annotation instruments: AIMMO DaaS, which manages sensor fusion information for autonomous automobile companies; AIMMO GtaaS, a turnkey-based platform for giant information; and AIMMO Enterprises, launched in 2020, a web-based SaaS annotation labeling instrument utilizing cloud structure.

The startup mentioned its instruments assist enhance the inefficiency of the information annotation course of in order that clients focus solely on their AI modeling. There’s no platform payment, coding expertise and set up required for AIMMO Enterprises that customers can label their information by way of browsers like Chrome.  As for its AIMMO GtaaS, customers ship uncooked information to AIMMO that labels the information with inspection and delivers it again to the shoppers, Chung mentioned.

Via the AIMMO DaaS platform,  its gross sales and quantity of its information labeling elevated by 200% in 2021 in comparison with the earlier 12 months. AIMMO posted $10 million of income in 2021, in keeping with its IR pitch deck. The corporate expects its progress in 2022, with the worldwide demand for the autonomous driving area frequently growing.

AIMMO

ScreenShot | AIMMO web site

The worldwide information assortment and labeling market measurement was valued at $1.6 billion in 2021 and is projected to achieve $8.2 billion in 2028, in keeping with a market evaluation report by Grand View Analysis.  

AIMMO works with an array of corporations, together with carmaker Hyundai Motor, automotive elements developer Hyundai Mobis, car-hailing startup Kakao Mobility, car-sharing startup SoCar and autonomous cargo developer ThoreDrive. AIMMO additionally works with non-autonomous automobile corporations in robotics, optical character recognition (OCR), sensible manufacturing facility, clever surveillance, e-commerce, and logistics industries, like telco company SK Telecom, web giants Naver and Kakao and Japanese Komatsu.

The Korea-headquartered startup has places of work within the U.Okay, the U.S., Japan and Vietnam. Chung mentioned it additionally plans to open places of work in Germany and Canada in 2022. AIMMO will compete with corporations like Scale AI, Playment, Perceive.ai and Deepen AI when it expands additional to the worldwide market. At the moment, the startup has 200 workers throughout the globe and greater than 10,000 information labelers.

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