Features
Hybrid Modeling
Leverage deep learning to speed up bioprocess development
Data Management
Collect, store and share bioprocesses data with state-of-the-art big data techniques
Robot-driven Labs
Run bioprocess remotely from our cloud-based bioreactors platform to generate your bioprocess data
Fermscale platform
Accelerate upstream bioprocess development
Decrease costs of upstream bioprocess development
Improve bioprocess data management across your company
Support the introduction of as many bioproduced alternative substance as possible
Frequently Ask Question
What is hybrid modeling in bioprocess development ?
Hybrid modeling combines mechanistic modeling with modeling inferred from experimental data. Mechanistic modeling relies on our current understanding of fundamental laws of science. Data inferred modeling is used to cover our lack of mechanistic details understanding within the bioprocess
What is the role played by AI in hybrid modeling ?
AI enables bioprocess engineers to account for in-cells process variability without comprehensive metabolic process description. Specifically it can apply deep learning techniques on bioprocess data to identify optimal DoE from a reduced number of experiments.
What is the added value of data and hybrid modeling in my bioprocess development ?
Hybrid modeling aims to accelerate upstream bioprocess developments and reduce costs associated to this phase. Fermscale platform further stores data and models on your account in order to leverage this information for further cell line development. Finally, it has also been proved that friendliness of data sharing within an organisation is linked with productivity of internal teams.
Can I ensure complete privacy of my bioprocess data ?
Yes. Fermscale operates with private and dedicated data servers.
loic@fermscale.com
+32 477 78 70 82