Website: www.industrial-analytics.io
Country: Germany
Founding year: 2017
Key technologies: AI
Team size: 21
The key factor of successfully providing such a solution is to unify detailed domain knowledge of the machines and process in focus with AI knowledge. The team of Industrial Analytics consists of engineers that worked 10+ years in the R&D department of a machinery manufacturer. The team was working on SW development projects for development tools and testbed application. We are working together with the Hasso Plattner Institute to integrate the latest research in artificial intelligence in the product.
About the Solution: Remote pump and well monitoring, optimization and predictive maintenance as a service
URBAN TECH Challenge: Digitalize and Optimize of Water Supply System
Challenge owner: Municipality of Dol pri Ljubljani (Slovenia)
Sector: Greentech
Funding received: up to 27000 EUR
Type: Software
Customer focus: B2B
Target Market: Global
The solution developed by Industrial Analytics IA GmbH is a comprehensive remote monitoring, optimization, and predictive maintenance service tailored for municipal pump and well operations. It utilizes a SaaS platform, the IA Dashboard and Analytics, which facilitates advanced functionalities including:
- Remote monitoring: enables continuous oversight of pumps and wells from a distance, minimizing the need for on-site inspections.
- Predictive maintenance: employs machine learning, specifically convolutional neural networks, to analyze operational data, predict potential failures, and schedule proactive maintenance, reducing downtime and maintenance costs.
- Optimization: analyzes operational data to optimize the performance and efficiency of pumps and wells, potentially lowering energy consumption and operational costs.
- One-click reporting: simplifies the creation and dissemination of detailed performance and maintenance reports through an automated feature, aiding in efficient management and decision-making.
- Data integration: seamlessly integrates both historical and real-time data to provide a comprehensive view of the pump and well operations, enhancing monitoring and analysis capabilities.
