Shipment Management System
Myra EB’s shipment solution provides a streamlined, efficient way for pharmaceutical operations to manage the shipment of goods.
DrugTX.AI in Manufacturing
AI on process, quality and supply data: from anomaly detection and predictive maintenance to drug supply planning.
Software Modules for Manufacturing and Supply Chain
Demand Forecasting
Myra EB’s demand forecasting solution is designed to help pharmaceutical operations accurately predict and plan for future demand.
Inventory Management
Myra EB’s inventory management solution provides a comprehensive solution for pharmaceutical operations to effectively manage their stock levels.
Data Management System
The data management system is used to provide insights for in process data, stability data and other data for various products.
Shipment Management System
Myra EB’s shipment solution provides a streamlined, efficient way for pharmaceutical operations to manage the shipment of goods. Our solution offers a range of features designed to make shipping easier, faster, and more reliable. It provides real-time tracking, automated order fulfillment, and optimized routing, among other things. With Myra EB’s shipment solution, companies can improve their operational efficiency, reduce shipping costs, and ensure that their products reach their customers on time and in excellent condition. Our user-friendly platform allows companies to easily manage their shipping processes, monitor performance, and make data-driven decisions to further improve their operations. Whether you’re shipping domestically or internationally, Myra EB’s shipment solution provides the tools you need to succeed.
Demand Forecasting
Myra EB’s demand forecasting solution is designed to help pharmaceutical operations accurately predict and plan for future demand. Utilizing advanced algorithms and data analysis, the solution provides real-time insights into consumer behavior, market trends, and other factors that impact demand. This enables companies to make informed decisions about production, inventory management, and other key operations. The solution is easy to use and fully customizable, allowing companies to tailor it to their specific needs and requirements. With Myra EB’s demand forecasting solution, pharmaceutical operations can achieve greater efficiency, reduce waste, and improve overall performance.
Inventory Management
Myra EB’s inventory management solution provides a comprehensive solution for pharmaceutical operations to effectively manage their stock levels. Our solution offers real-time inventory tracking, automated reordering, and sophisticated analytics, among other features. With Myra EB’s inventory management solution, companies can minimize stock shortages, reduce overstocking, and improve their overall operational efficiency. Our platform is easy to use and fully customizable, allowing companies to tailor it to their specific needs and requirements. Whether you’re managing a large warehouse or a small retail operation, Myra EB’s inventory management solution provides the tools you need to succeed. Join us in our mission to revolutionize the way pharmaceuticals do business and see the difference our solutions can make.
Data Management System
The data management system is used to provide insights for in process data, stability data and other data for various products. It’s very easy to go in this system and access key data that is needed for IND or BLA writing. In addition, the system provides quick access to teams for quick decision making and reduces batch failure risks.
The system is available for integration with external systems such as PI, LIMS, and ELN. The use case for Data Module is consistent across companies of all scales. The system is universal for all companies. The only difference is the degree of integration with external systems such as ELN, PI, and LIMS systems.
Myra EB platform overview
01
Anomaly Detection: Detect Deviations from Expected Patterns
AI algorithms analyze real-time sensor data in a bioreactor and detect deviations from expected patterns, such as sudden drops in dissolved oxygen levels, which could indicate contamination.
02
Trend Analysis: Identify Changes
AI tracks temperature and pH trends over time in a fermentation process, identifying subtle changes that might impact the yield or quality of the final product.
03
Optimization: Continuously Monitors Data in Real Time for Maximum Efficiency
Nutrient
Adjusts the concentration and timing of nutrient feedings in a bioprocess based on real-time cell growth data, maximizing biomass or product yield.
Temperature
Optimizes the heating and cooling systems in a bioreactor to maintain a stable temperature.
Yield
AI algorithms explore various process parameter combinations in silico to find the optimal conditions for producing a high-yield, bio-based product in the shortest time possible.
04
Predictive Maintenance: Pump and Mixer Failure Prediction
- 01
AI models analyze pump vibration data and historical maintenance records to predict when a pump is likely to fail, allowing for timely maintenance to prevent costly breakdowns.
- 02
AI monitors the condition of agitators and mixers in real-time, using data such as bearing temperatures and load torque to schedule maintenance before any critical components wear out.
- 03
AI analyzes pressure drop data across filtration units and predicts when filters need replacement or cleaning to maintain product quality and prevent clogging.
05
Quality Control: Assay Review
AI-powered algorithms swiftly examine ongoing assays, delivering rapid results. Trained AI models effortlessly scrutinize fresh assay runs.
AI algorithms can rapidly assess assays conducted over time and seamlessly inspect new assay runs.
06
Quality Control: Stability Data Analysis
AI algorithms excel at carefully examining stability data, which often includes various assay packages at a single timepoint.
AI can rapidly analyze trained data and give results when the stability data shows a clear pattern.
07
Data Fusion: Combine Data for Comprehensive Understanding
AI combines data from multiple sources, including sensors, laboratory instruments, and historical records, to provide a comprehensive view of the bio manufacturing process and highlight correlations between variables.