BrewAI explores how artificial intelligence can be applied to improve sustainability in beverage production.
The project brings together academic expertise, student involvement and industry collaboration to develop practical, data-driven approaches to reducing environmental impact and improving operational efficiency.
BrewAI focuses on how production data can be used more effectively to support decision-making in manufacturing environments.
By bringing together energy, process and emissions data, the platform enables users to:
The aim is to turn complex operational data into clear, actionable insight that can support more sustainable production practices.
The project contributes to FBL’s research activity in the areas of:
It reflects ARU’s focus on research that is both academically robust and directly relevant to real-world challenges.
BrewAI has been developed through collaboration between academic staff and student researchers, with contributions from Mariia Kaliman and Tom Stacey playing a key role in its development.
The project provides opportunities for students to engage in applied research, including:
It also supports collaboration with external partners in the beverage and manufacturing sectors.
Reducing environmental impact in production environments requires better visibility of how energy and resources are used.
BrewAI supports this by helping organisations move from high-level reporting to more detailed, data-informed understanding of operational performance. This enables more targeted and measurable sustainability improvements.
BrewAI is an active research project and welcomes engagement from academic and industry partners.
Opportunities include:
Visit the BrewAI project site at https://www.brewai.net/