We are pleased to announce that PolyModels Hub has officially joined the Centre for Process Analytics and Control Technology (CPACT), strengthening our commitment to advancing digital innovation in pharmaceutical process development and manufacturing.

Established in 1997, CPACT is Europe's longest-running community of practice in process analytics and control. For nearly three decades, it has brought together leading academic researchers, pharmaceutical manufacturers, technology providers, and industrial innovators to accelerate the development and adoption of Process Analytical Technology (PAT) and advanced process control solutions.

Its industrial network includes some of the world's leading pharmaceutical companies, such as AstraZeneca, GSK, Pfizer, Johnson & Johnson, Novartis, Bristol Myers Squibb, and Takeda, alongside technology providers, research institutions, and organizations operating across a wide range of manufacturing sectors.

For PolyModels Hub, joining CPACT represents an opportunity to contribute our experience in advanced process modelling, digital twins, and artificial intelligence to a community that has played an important role in shaping modern process analytics and control.

A Shared Vision for Smarter Pharmaceutical Manufacturing

At the heart of CPACT's mission is a fundamental objective: enabling better process understanding, monitoring, and control through the application of advanced measurement technologies, data analytics, and scientific knowledge.

This mission closely aligns with our vision at PolyModels Hub.

Over the past decades, Process Analytical Technology has transformed how pharmaceutical manufacturers collect and interpret process information. From spectroscopy and chemometrics to multivariate statistical process monitoring, PAT has enabled greater visibility into complex manufacturing operations.

However, collecting more data is only part of the challenge.

The real opportunity lies in translating that information into actionable knowledge, predictive capabilities, and better decisions throughout the product lifecycle.

At PolyModels Hub, we believe the convergence of PAT, mechanistic modelling, machine learning, and artificial intelligence represents an important step towards more intelligent pharmaceutical development and manufacturing.

By combining real-time process measurements with predictive models, pharmaceutical organizations can move beyond monitoring process performance towards anticipating deviations, optimizing operating conditions, and improving process robustness.

This is particularly relevant as the industry continues to adopt more complex manufacturing technologies, continuous processing, and increasingly data-rich development environments.

Connecting Process Analytics with Advanced Modelling and AI

Through our ModelFlow™ platform, PolyModels Hub helps pharmaceutical organizations develop, deploy, and scale advanced modelling workflows across process development and manufacturing.

Our technology combines mechanistic, data-driven, and hybrid modelling approaches with automated data pipelines, AI-enabled workflows, and intuitive applications that make advanced scientific capabilities accessible to a broader community of scientists and engineers.

These capabilities complement the technologies and expertise developed within the CPACT community.

While PAT provides valuable information about the state and performance of manufacturing processes, predictive models can help explain why processes behave as they do, explore operating conditions, and anticipate outcomes before changes are implemented.

Together, these approaches create opportunities for more effective process monitoring, model-based control, process optimization, and digital twin applications.

From small-molecule manufacturing and oral solid dosage forms to biologics and advanced modalities, we see significant potential in bringing these technologies together to support better development and manufacturing decisions.

What This Partnership Means for PolyModels Hub

CPACT has established an international network connecting pharmaceutical manufacturers, analytical technology providers, software developers, and academic researchers working at the forefront of process analytics and control.

Membership provides opportunities to exchange knowledge, participate in collaborative research initiatives, explore emerging technologies, and contribute to discussions on the future of industrial process monitoring and control.

For PolyModels Hub, this collaboration will help strengthen our connections with the wider PAT community while creating opportunities to explore the integration of advanced process analytics with predictive modelling and AI-enabled decision-making.

We are particularly interested in advancing the practical deployment of these technologies within pharmaceutical organizations, where challenges such as data integration, model lifecycle management, scalability, and accessibility often determine whether innovative research translates into real industrial value.

As Antonio Benedetti, Co-Founder and CEO of PolyModels Hub, commented in CPACT's official announcement:

"We joined CPACT to connect our experience in biopharma process modelling and AI with a community advancing process analytics and control. We look forward to sharing practical insights and developing collaborations that improve development and manufacturing decisions."

We also see this partnership as an opportunity to contribute insights from our work with leading pharmaceutical organizations, helping connect academic research and emerging technologies with the practical challenges faced by development scientists and manufacturing teams.

Looking Ahead

The pharmaceutical industry is moving towards a future where process measurements, scientific models, and artificial intelligence work together to support more autonomous, predictive, and efficient development and manufacturing operations.

Achieving this vision requires close collaboration between pharmaceutical manufacturers, technology providers, and academic researchers.

By joining CPACT, we look forward to contributing to this community, learning from fellow members, and helping bridge the gap between advanced process analytics and scalable digital solutions.

Our ambition remains the same: to make pharmaceutical process development and manufacturing smarter, faster, and more predictable through the practical application of advanced modelling and AI.

We are excited about the opportunities ahead and look forward to working with CPACT and its members to turn these technologies into meaningful industrial impact.

Read CPACT's official announcement: CPACT Welcomes PolyModels Hub