HACARUS novel AI -powered workplace risk prevention application awarded in the Social Contribution category.
November 16th, 2023, Kyoto, Japan – HACARUS, on a mission to bring the next generation of instruments to every industry, today announced that its workplace risk prevention application HACARUS Workplace Safety for KY has received the Social Contribution Award, in the AI category, at the 17th ASPIC Cloud Awards 2023 – organized by the Japan Cloud Industry Association (commonly known as ASPIC).
The ASPIC Cloud Awards commend outstanding and socially beneficial cloud services in Japan, aiming to support the expansion of business for cloud service providers and encourage adoptation. These awards contribute to the development and establishment of cloud services as a societal information infrastructure.
The awarded application, accessible online, helps construction and manufacturing companies understand workplace accident risks using generative and Large Language Model (LLM) AI technology.
Danger points identified by AI is based on the data of about 4,000 occupational accident cases. Rather than only relying on the personal experience of workers, this allows even the novice and untrained worker to perform a complete risk assessment, benefitting from a compressive record of previous cases.
Using HACARUS Workplace Safety for KY, risk assessments of worksites can be had from simply inputting the work name and conditions, either by text or voice. Our AI will suggest occupational accident cases and danger points to consider unique to each worksite as well as generate a digital sheet ready to be shared or printed.
About HACARUS Workplace Safety for KY:
About the “17th ASPIC Cloud Awards 2023” (ASPIC Website -Japanese Only):
HACARUS INC, on a mission to bring the next generation of instruments to every industry, has since its founding in 2014, supplied AI solutions across the medical, manufacturing and construction fields in Japan – and beyond. Headquartered in Kyoto, Japan, and backed by Daikin, Osaka Gas and Miyako Capital (Kyoto University), among others, its technology enables humans to make better, faster, and more reliable decisions based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com