DatenBerg provides the smartPLAZA software, which enables industrial companies to capture and utilize machine and quality data for improved production efficiency. This solution facilitates real-time data monitoring, compliance with regulatory standards, and predictive quality assessments, ultimately reducing process costs and enhancing decision-making capabilities.
Funding
$81.9K 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.
Founders
Product
Problem
Many industrial companies struggle to efficiently capture and utilize machine and quality data, leading to suboptimal production processes. Traditional paper-based recording methods are prone to errors and difficult to analyze, while disparate data sources create silos that hinder comprehensive process understanding. This lack of real-time data visibility makes it challenging to comply with regulatory standards and proactively address quality issues.
Solution
DatenBerg's smartPLAZA software suite enables industrial companies to capture, monitor, and analyze machine and quality data to improve production efficiency and reduce process costs. The platform digitizes manual, paper-based processes with a browser-based interface for guided inspections and work orders. It facilitates real-time monitoring of critical process parameters, ensuring compliance with industry regulations and enabling rapid response to deviations. By applying machine learning algorithms to production data, smartPLAZA dynamically adjusts inspection frequencies based on process stability, reducing unnecessary quality checks. The software automates data preparation and delivers real-time insights and recommendations to employees through customizable dashboards, empowering informed decision-making at all levels.
Target Audience
The primary target audience is small and medium-sized industrial companies seeking to improve production efficiency, reduce process costs, and ensure regulatory compliance through data-driven insights.
Features
- Digitalization of paper-based production processes through a browser-based interface for guided inspections and work orders
- Automated capture and storage of machine and quality data from diverse sources into a centralized data warehouse
- Real-time monitoring of critical process parameters with automated alerts for deviations
- Dynamic adjustment of inspection frequencies based on process stability using machine learning
- Customizable dashboards providing real-time data visualization and actionable insights
- Automated data preparation and delivery of recommendations to employees
- Support for regulatory compliance in industries such as food, pharmaceuticals, and automotive
- Integration with existing machine interfaces through a gateway module