Aimmo Bags $12M Series A To Advance Data Labeling Technology
01/03/22, 12:15 AM
Money raised
$12 million
Industry
consumer goods
data and analytics
software
Round Type
series a
Most artificial intelligence models are trained through supervised learning, meaning that humans must label raw data. Data labeling is a critical part of automating artificial intelligence and machine learning model, but at the same time, it can be time-consuming and tedious work.
Company Info
Additional Info
A Korean startup called AIMMO, which uses software and humans to label and categorize image, video, sound, text and sensor fusion data, built an AI data annotation platform, enabling the data labeling faster for enterprises. 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. The startup said its tools help improve the inefficiency of the data annotation process so that customers focus only on their AI modeling. The company expects its growth in 2022, with the global demand for the autonomous driving field continually increasing. The Korea-headquartered startup has offices in the U.K, the U.S., Japan and Vietnam. Today, the startup has 200 employees across the globe and more than 10,000 data labelers.