By fostering a "culture" of quantifying work, we contribute to the overall quantitative understanding of the company!
Our company provides comprehensive support from data acquisition methods to the creation of data acquisition models and simple evaluations. Utilizing videos and IoT sensor data collected from manufacturing sites, we assist in classifying work types and motion patterns with high precision, as well as visualizing throughput and quality metrics of actions that were previously difficult to quantify. Additionally, using the constructed quantification models and video analysis AI, we automate the aggregation and visualization of accumulated data, clarify improvement points, and facilitate the formulation of the next actions, thereby accelerating the PDCA cycle through quantitative evaluation and simple analysis support. 【Benefits】 ■ Visualization and quantification of the field through IoT and AI ■ Establishment of a highly reproducible environment that eliminates reliance on individuals ■ Generation of new on-site manuals ■ Cultivation of a culture that makes work judgments based on quantitative data *For more details, please download the PDF or feel free to contact us.
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【For these concerns】 ■ I want to promote automation and DX, but I don't know where to start. ■ It's a professional task, so systematization seems impossible. ■ I don't even know how to collect data in the first place. ■ When I tried to utilize AI, I was told, "Data is needed," and it came to a halt. *For more details, please download the PDF or feel free to contact us.
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Mukuile Inc. is a startup company that provides AI solutions specifically tailored for the manufacturing industry. We address the challenges of increasing reliance on specific individuals, labor shortages, and quality control in production environments, proposing and implementing suitable technologies for our customers. Aiming to improve production line efficiency, reduce costs, and enhance product quality, we offer flexible solutions that prioritize practicality in the field.
