Service overview

Advanced process analytical technology (PAT) devices

These devices enable continuous process monitoring of bench scale reactors or larger down-stream processing (DSP) for real-time control. They are of interest to those wanting to optimise processes, ensure quality assurance and robustness.

Their key features and benefits are: 

• In-line and on-line measures (no sampling or off-line processing required)
• Enables autonomous control
• Minimal operator or manual intervention
• Application across scales (process view of fermenters & reactors)
• Generates increase process understanding in less time than experiments

Data fabric  is a software-based architecture that provides the scaffold for integrating various data management tools, workflows, pipelines, and repositories to provide greater insights into your data. Delivering insight not just for you but the people you wish to share it with. Irrespective of whether data consumers are researchers, data analysts, and software engineers from academia and commercial enterprises a data fabric will facilitate data sharing in a secure fashion. Furthermore, the data fabric can ease data re-use through the integration and standardisation of data and metadata.

The key features and benefits are:

• Data management
• Ensures data is FAIR and data provenance
• Securing data ownership whilst fostering data reuse
• Integration of data and services
• Automation of data services

Integrated and standardised data knowledge on microbial strains for easy strain discovery for biotech. One of the easiest ways to find an alternative for strains in a process you would like to do.

One common database with FAIR data which can be easily expanded with additional data from other sources. Standards allow it to be easily used for AI applications. It is user-defined user-driven so easy for end-users such as start-ups, biotech, research and legal agencies to search for information in the database. It has the advantage of being in one place, providing verified data that is easy to interpret.

Their key features and benefits are: 

• FAIR data & tools
• High throughput data mining
• Standardised data
• Tools to explore the data
• Simple interface
• Find a better strain for bioprocesses
• Accelerate bioprospecting of microbial traits

More info here

These services enable the design, development and calibration of a scaffold formula for real-time bioprocess monitoring and design. Real-time monitoring, design and optional development of scaffolds for genome scale models (GSM) enhances the references to the biological system for plant operators and experimental designers. It also captures the dynamics of biological systems and the capability to monitor and analyse the open systems.

Their key features and benefits are: 

• Knowledge extraction interaction between biological and physical systems
• Scalability potential
• AI readiness
• Advanced modeling capabilities
• Combines first principles and data embedding key ML technology

More info here

Real-time model based predictions of our process and updating of our process variables to optimise both process and yield for the biomanufacturing industry and biotech companies and more specifically process engineers who would like to troubleshoot their process and plant operators to understand processes notably key indicators at real-time.

Key value is to optimise resource use and optimise processes to ultimately increase production and products out to clients.

Their key features and benefits are: 

• Process efficiency and reduction of process failure
• Understand the process at real-time and make real-time decisions
• Predicting product yield (enabling resource anticipation) and optimising process
• Minimise operator dependence and enable user-friendly data visualisation
• More information

More info here