ENLYZE provides a machine data acquisition and productivity analysis system that digitizes production data from various manufacturing equipment within two weeks, enabling real-time performance and quality monitoring. The platform addresses the challenge of inaccessible and fragmented machine data, allowing manufacturers to analyze downtimes and optimize production processes without the need for extensive IT resources.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturers struggle with inaccessible and fragmented machine data, hindering their ability to monitor performance and optimize production processes. Existing solutions often require extensive IT resources, are expensive, and are complicated to implement, delaying digitization efforts. Data is often distributed across isolated systems or deleted from HMIs, further compounding the problem.
Solution
ENLYZE offers a machine data acquisition and productivity analysis system that enables manufacturers to digitize production data from various equipment within two weeks. The platform provides real-time performance and quality monitoring without requiring extensive IT projects. ENLYZE automatically detects downtimes based on machine data, ensuring accurate recording of all downtime events. The system also allows users to analyze and visualize data with intuitive tools, create process analyses, reports, and dashboards, and identify optimal parameter settings for operators.
Target Audience
ENLYZE primarily targets manufacturers with continuous production processes, such as those in extrusion, drug and dietary supplements, liquids and food, packaging, non-woven fabrics, coating, semi-finished products, and powder and paints industries.
Features
- Rapid machine data acquisition from various equipment, regardless of age or manufacturer
- Pre-built connectors for common industrial protocols and systems, including OPC-UA, Siemens SIMATIC, and B&R
- Automated downtime detection based on machine data
- Intuitive analysis tools for creating process analyses, reports, and dashboards
- Digital capture of shop floor operations, enabling operators to access ideal parameter settings
- Open system architecture with REST API, Python SDK, and integrations for Grafana, Tableau, PowerBI, and Microsoft Teams
- Ability to trace production errors using detailed process data
- Identification and replication of optimal production runs ("Golden Run")
- Real-time performance and quality monitoring