Qubicon reinvents data management, real-time monitoring and process control in biotechnological and pharmaceutical R&D laboratories as well as in entire GMP production facilities. Ultimately, the software enables you to move from raw data-driven to quality-based process decisions and control. A simple integration of all process-relevant devices over the entire process life cycle helps you to convert data into knowledge.
Qubicon automatically unifies data derived from online, at-line as well as offline equipment within one central data base. By interlinking all process and product relevant information within one system, it builds the foundation of improved workflows.
Qubicon takes monitoring of biotechnological and pharmaceutical processes to the next level by comparing live quality data to reference runs and calculating key performance indicators and soft sensors based on your models in real-time.
Qubicon helps you to improve your processes by giving you the opportunity to use relevant process information for endless control opportunities – even if several stand-alone devices are involved in your control task.
Individual process parameters and variables, events, phase states and soft sensor calculations are displayed within the monitor module’s information tab. Access to detailed information about the respective process equipment, recipe and meta information is directly linked.
The real-time comparison of actual and reference processes provides grounds for more profound decision-making.
Process data can be easily aligned using customized time-shifts for each curve.
Individual key performance indicators (KPIs), advanced mathematical models and Soft-Sensors can be applied to running processes and historic data using the Python scripting language
The sampling functionality enables the auto generation of unique sampling IDs at specific time points. If necessary, users have the possibility to define their own external IDs and thus directly display them as QR or bar codes.
The software enables a web-based data access and analysis from different R&D and production sites around the world within your own network. User identification and authentication upon login as well as activity tracking ensure a high standard of security and compliance with 21 CFR Part 11.
Sommeregger, Wolfgang et al. Biotechnology Journal