LeanBI
LeanBI is a small company based in Bern, Switzerland, founded in 2014, that specializes in artificial intelligence and data science solutions for the manufacturing industry. The company utilizes digital twins, predictive analytics, and various data intelligence techniques to optimize quality and processes for its clients, which include major firms like ABB and Swiss Post.
Company Overview
LeanBI is a very small business founded in 2014, headquartered in Bern, Switzerland. The company operates within the Information Technology & Services industry and has a team size of five. LeanBI specializes in artificial intelligence, data science, and data engineering, focusing on providing customized data analysis solutions for the manufacturing sector.
Services
LeanBI offers a range of services that include predictive maintenance solutions aimed at minimizing downtime and costs. The company develops digital twins of machines and production systems, utilizing IoT solutions and sensor technology for automated damage detection. LeanBI also provides consulting services for various business intelligence tools, including Jedox, MS PowerBI, and SAP BI, tailored specifically for small and medium-sized enterprises.
Specialties
LeanBI has several specialties, including data science, big data, data intelligence, predictive analytics, and visualization. The company employs machine learning and deep learning techniques in its projects. Additionally, it utilizes timeseries analysis for predictive maintenance and system behavior prediction, along with computer vision for facility management and predictive maintenance applications.
Clients
LeanBI counts major companies among its clients, including ABB, Amberg Group, Stöcklin, Trumpf, Geberit, and Swiss Post. These partnerships highlight LeanBI's capability to deliver tailored solutions that meet the specific needs of large organizations in the manufacturing sector.
Technologies Used
LeanBI employs various technologies in its operations, including Microsoft Azure for developing data science models and TensorFlow for deep learning projects. The company also utilizes optical deformation detection systems for monitoring logistics and machinery, and applies probabilistic modeling to incorporate domain knowledge and quantify uncertainties.