Empiric offers a Manufacturing Excellence Platform that integrates wireless sensors, digital forms, and system connectors to automate real-time data collection from batch manufacturing processes. This technology enables manufacturers to analyze critical production data, predict equipment failures, and optimize batch parameters, ultimately improving yield and product quality.
Funding
Funding not disclosed
Founders
Product
Problem
Batch manufacturers often struggle with inefficient data collection, relying on manual processes and disparate systems that hinder real-time visibility into critical production parameters. This lack of integrated data makes it difficult to identify process inefficiencies, predict equipment failures, and optimize batch parameters for consistent quality and yield.
Solution
Empiric provides a Manufacturing Excellence Platform that automates real-time data collection from batch manufacturing processes by integrating wireless sensors, digital forms, and system connectors. The platform enables manufacturers to capture critical production data, such as product temperature, equipment health, and batch data, and remotely manage production operations. By analyzing this data with no-code machine learning and AI modeling, manufacturers can identify equipment anomalies, predict failures, and determine optimal process inputs. This allows for increased yield, improved product quality, and reduced time spent on data collection and analysis.
Target Audience
Empiric's primary customers are batch manufacturers in the chemical and food & beverage industries seeking to improve production efficiency, product quality, and equipment reliability.
Features
- Integration with wireless sensors for real-time data capture of temperature, humidity, and other environmental parameters
- Digital forms for capturing SOP and batch data, replacing paper-based documentation
- System connectors for integrating with existing data historians, ERPs, and manufacturing systems
- Real-time remote monitoring of critical production and process data from any location
- Automated analysis workflows for identifying equipment failures, process inefficiencies, and optimal batch parameters
- No-code machine learning and AI modeling for predictive maintenance and process optimization
- User-friendly software interface for easy access to data-rich insights and analysis