Speakers:
Dr Alex Newnes, Plantsea
Dr Charlie Phillips, Intellegens
Original broadcast: 9 Dec, 2025.
Achieving sustainability goals is a vital, but difficult, challenge for R&D teams developing formulations, materials, chemicals, and processes. Hitting these objectives is a complex multi-dimensional optimization problem, particularly given the need to simultaneously improve performance and cost metrics. In this webinar, you’ll find out how machine learning (ML) is helping by extracting more value from experimental and process data to identify solutions that maximize both the effectiveness and environmental impact of products and processes. You’ll hear a case study from sustainability innovator Plantsea, learning how they are creating products based on a natural seaweed polymer to replace petroleum-based plastics and avoid microplastic pollution. You’ll also see a demonstration of the Alchemite software from Intellegens, showing how ML can be used to reduce carbon footprint and energy consumption, minimize waste, and design formulations and processes to avoid use of chemicals that are harmful to human health or the environment.
