MotionMiners provides a Motion-Mining® technology that utilizes wearables and AI-driven PROCESS INTELLIGENCE software to automatically collect and analyze activity and movement data from employees and vehicles. This system identifies inefficiencies and ergonomic issues in manual work processes, enhancing productivity and employee satisfaction while ensuring data privacy compliance.
Funding
$5.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PGFounders
Product
Problem
Many companies struggle to efficiently analyze and optimize manual work processes due to the limitations of traditional methods like time studies and manual data collection. These methods are often time-consuming, prone to human error, and lack the comprehensive, real-time insights needed to identify inefficiencies and ergonomic risks.
Solution
MotionMiners offers a Motion-Mining® system that automates the collection and analysis of activity and movement data from employees and vehicles using wearable sensors and AI-powered PROCESS INTELLIGENCE software. The system captures anonymized movement data, which is then processed to identify inefficiencies, ergonomic issues, and potential areas for process improvement. By providing a comprehensive and data-driven understanding of work processes, MotionMiners enables companies to optimize workflows, improve employee satisfaction, and ensure data privacy compliance without requiring integration into existing IT infrastructure.
Target Audience
The primary target audience includes companies in manufacturing, logistics, and other industries with significant manual work processes, as well as educational and research institutions.
Features
- Wearable sensors for capturing anonymized activity and movement data from employees and vehicles
- AI-powered PROCESS INTELLIGENCE software (MPI) for visualizing and analyzing collected data
- Automated identification of inefficiencies, bottlenecks, and ergonomic risks in work processes
- Comprehensive process analysis to identify potential areas for optimization
- Data privacy compliance through anonymization and pseudonymization of process data, adhering to GDPR principles
- No integration required into existing IT infrastructure; only a power connection is needed
- License model for independent analysis of manual work processes using MotionMiners hardware and software