Data-driven Biomanufacturing

Biomanufacturers enhance yield, quality, and reproducibility while advancing digital maturity with the Hercule platform, offering holistic data insights across silos and benefiting multiple stakeholders through biotech and AI expertise.

Biomanufacturing companies (biotech, pharma, ATMP producers, CDMOs...) regularly face challenges such as increasing yield and/or quality, reducing time to batch release, or showing reproducibility from manufacturing site to manufacturing site. They want to do so while gaining knowledge on their processes, mastering their digital roadmap, and including AI innovation.

The Hercule platform is a combination of software modules and experts services that will increase quality, profitability and digital maturity.

Hercule has been applied to more than 30 processes.

Learn how Hercule can improve your manufacturing activities.

Discover Hercule

Unlike traditional IT systems dedicated to specific data silos (LIMS, ERPs, EMS, historian,...) our platform offers a holistic view on the data for biomanufacturers, across data silos, spanning the complete product lifecycle, and brings added value to multiple stakeholders (production supervisors, process improvement and R&D, QA,...). It benefits from our double expertise in data sciences and in biotechnologies, as demonstrated by our track record and our many scientific publications.

Improve your yield

15% profitability reported ! Analysing data from a few dozens to a few hundred batches, identifying new key performance parameters, generating data-driven models allows us to propose process improvements. Our customers managed to increase significantly their profitability.

Turn your data into actual value

Accelerate batch release

From 6 weeks to a few days ! Consolidating all data silos in one place in almost real time and performing automated analysis of all key parameters (CQA, CPP, CMA, ...) allows to have a batch release report ready the minute your batch production is finalized, and to anticipate investigations in case of OoT or OoS scenarios.

Lower your lead time

Reduce your footprint

Good for the planet, good for your wallet ! Process improvement through massive use of biomanufacturing data led some of our customers to reduce tons of CO2, hundred meters of disposable plastic tubes, dozens of kgs of raw material per year.

Lower your environmental footprint

Gain in digital maturity

From Zero to Hero ! We accompany our customers in their digital roadmap, either by training them with respect to data structure and organization, data use and interpretation, or by providing software tools to digitalize both GMP and non-GMP activities.

Become data innovator

Build and share knowledge

"The process is the product"... then make sure your teams master it ! Biomanufacturing processes are complex. Several teams master different operations, and it is very difficult to build common knowledge, however capital for improving operations fluidity, improving process and reducing quality issues. Our solutions allow to build visual and structured representation of processes, that can be shared and used as reference across teams of a company.

Strengthen your teams

More efficiency in process dev

End-to-end process development benefiting from multiple sources of knowledge. This is the challenge we accepted recently and on which we collaborate with UCB, University of Mons (SECO) and the CER Groupe. We use previously existing data, mechanistic and data-driven models as well as expert knowledge to build new manufacturing processes in a smarter, more efficient and faster way, end-to-end.

Reduce the cost and timelines of your process development

Monitor multiple sites

The world from your office. ATMPs (gene or cell therapies) more and more adopt a manufacturing scheme with a lot of small-sized factories, rather than a few very large continental-level plants. This distributed setup is needed, because in many cases key ingredients of the treatment are coming from the patients themselves. Challenges arise namely in terms of monitoring and process improvement. We work jointly with industrial and research partners to address this challenge, a.o. with federated machine learning approaches.

Gain peace of mind, even from a distance,

Pushing data-driven innovation boundaries

We continue to innovate in data sciences applied to the healthcare industry. Our colleagues contribute to push the boundaries of scientific knowledge by publishing advances in data sciences and their innovative application to biotechnologies. Often hand in hand with our customers and partners.

Process optimization

Model-based Design of Experiment for Laboratory-Scale Upstream Processing in Monoclonal Antibody Production. G. Pimentel et al. - 11th Vienna International Conference on Mathematical Modelling, 2025.

Chemometrics models

Feature selection with prior knowledge improves interpretability of chemometrics models. T. Des Touches et al. - Chemometrics and Intelligent
Laboratory Systems, 2023.

Up-scaling and process transfer

Supporting the implementation of chemometrics models

in bioprocess from development to commercial stage, T. Helleputte et al.
To appear, 2025.

Data-driven models

Machine learning in the biopharma industry. T. Helleputte et al. – ESANN proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2020.

Discover more publications involving our team