Top-notch AI data technology company in Korea
ALCHERA is a team of machine learning and graphics experts developing visual AI, AR, and data management technology to advance society towards a better future.
ALCHERA exists to
inform, empower, and encourage society by continuing to develop and advance its expertise through dedication and
excellence.
Since 2016, ALCHERA has empowered multinational companies to launch products, improve efficiencies, and bring the power of AI to their business. Data Management Technology
ALCHERA’s core technologies can be applied to a wide range of industries with industry-leading fast processing speeds, highly customizable datasets and deployments, as well world-class accuracy regardless of infrastructure.
ALCHERA collects and processes high quality, large scale image data to empower visual AI and machine learning. Using a proprietary AI-enabled data management platform and tools, ALCHERA can produce high-quality AI training data efficiently, saving time and cost.
What ALCHERA collects and process AI data
includes Data
collection, processing, and verification with our own data platform with a
single secure cloud.
ALCHERA collects processes
and verifies high-quality datasets ready for the machine learning.
ALCHERA process data on our own data labeling and
management system to examine and verify processed data with image recognition
professionals and dedicated data managers to ensure data quality.
ALCHERA provides an AI data management platform tool on a
single secure cloud with simple and intuitive project-management which enables
time and cost efficiency with high productivity and high-quality data work.
ALCHERA AI-automated data labeling tools
ü Visual AI Engine
ü Key framing data management platform
Using its powerful face
recognition technology, ALCHERA can automatically search image and video datasets for faces. These
faces can then be automatically tagged or extracted for training.
Key framing uses AI
technology to automatically scan for given keywords in a dataset. High-quality
images containing the keywords are filtered, while low-quality images are
discarded.

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