CHEM UK (21-22 May, Birmingham)

Intellegens will exhibit at the CHEM UK event at the NEC, Birmingham in May. We’ll also be presenting and participating in a mini conference session on rapid formulation development.

If you’re attending, why not contact us to arrange a meeting?

Exhibition stand

Find us on stand H86.

Stop by our exhibition booth to find out more about how we enable Design of Experiments to achieve results with 50-80% cost reductions or how you can accelerate innovation for chemicals and formulations.

Mini-conference session – Rapid formulation development

Intellegens CEO, Ben Pellegrini, will participate in this session hosted by our partners at CPI (Centre for Process Innovation).

Session timing: Wednesday 21 May, 12:00-13:30
Session location: Stage 3

This panel session will delve into how formulators can leverage cutting-edge automation and robotics to accelerate the development and testing of their products. You will have an opportunity to learn from technology providers and established automation teams with decades of collective experience in this field and learning from their triumphs and mistakes. We will explore how new digital tools are helping to generate a new era of formulating and discuss AI-driven solutions which are enhancing data generation, curation, and analytics for our industries.

Presentation – Adaptive experimental design of formulated products

Presenter: Dr Tom Whitehead, Head of Machine Learning, Intellegens

Session timing: Thursday, 22nd May, 10:30-10:45
Session location: Stage 3

Abstract:

Developing high-performance chemical formulations requires the navigation of a complex landscape of compositional, processing, and application-specific trade-offs. Meeting the urgent demands of sustainability and net-zero goals adds further challenges. Adaptive Experimental Design (AED) is a new machine learning-driven paradigm that extracts maximum value from data to iteratively optimize formulations and processes, significantly accelerating the development of advanced chemicals.

This talk will demonstrate how AED cuts experimental workloads by 50-80%, using case studies on sustainable chemical formulations for inks and coatings. In contrast to traditional Design of Experiments, AED directly targets product performance, supporting the chemist’s journey through chemical space. By integrating AED into R&D workflows, the chemical science community can accelerate innovation while more efficiently meeting sustainability goals.

Related information

Machine learning for the Chemicals Process Industries.

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