Where AI Meets
Sustainability in Industry
Smarter, Greener, Profitable Processes
About EcoShift.ai
EcoShift.ai was born out of pioneering research at the University of Surrey, with a mission to transform how industrial processes are designed and optimised. At its core is a simple but powerful idea: use AI to build digital twins of the processes, so they can be tested, refined, and improved virtually before reaching the plant floor.
By embedding life cycle assessment (LCA) into every stage, we ensure environmental impact is measured from the start – enabling businesses to operate more efficiently, cost-effectively, and responsibly.
The Problem
Industries such as chemicals, petrochemicals, food & beverage, FMCG, and cosmetics face constant pressure to cut costs, boost output, and hit sustainability targets.
Yet most processes still rely on traditional physics-based models. While valuable for scientific understanding, these tools are often slow to set up, computationally heavy, and limited in accuracy.
They struggle to handle multi-objective optimisation or integrate sustainability assessment early in design — leaving engineers without the insights they need to innovate quickly and responsibly.
Costs & Efficiency
Need to cut costs, boost output
Sustainability
Pressure to meet NetZero targets
Traditional Models
Slow costly and limited
Our Technology
EcoShift.ai is a next-generation simulation platform that use AI to learn from real operational, experimental, and simulation data.
Key capabilities include:
Data-Driven Adaptability – Learns from operational, experimental, or simulation data to improve accuracy and capture real variability.
Trusted Intelligence – Predictions are explainable, reliable, and actionable, not black-box outputs.
Multi-Objective Optimisation – Balance cost, efficiency, emissions, and reliability in one framework.
Accelerated Scale-Up – Test and refine virtually to reduce risk and shorten development timelines.
Sustainable by Design – Embed carbon, energy, and LCA analysis into every design decision.
Data-driven adapability
Multi objective optimsation
Faster scale-up
Our Value Proposition
With EcoShift.ai, process industries can:
Innovate Faster – Cut costly trial-and-error with digital-first design and virtual testing.
Make Better Decisions – See clear trade-offs between cost, performance, and sustainability.
Build Trust – Gain insights that are scientifically grounded and explainable.
Scale Confidently – Reduce risk during scale-up and adapt to new conditions.
Achieve Net Zero Goals – Design greener processes from day one.
EcoShift.ai proves that performance, profitability, and sustainability can go hand in hand.
Dr Xin Yee Tai
Entrepreneur Lead
Xin Yee holds a PhD in Chemical Engineering from Loughborough University and specialises in applying AI to chemical process simulation. Continuing her research at the University of Surrey, she focuses on integrating life cycle assessment (LCA) into digital twins to enable sustainable process design. She leads customer discovery, value proposition testing, and commercialisation strategy, ensuring EcoShift.ai meets industrial needs while driving business development and partnerships.
Professor Jin Xuan
Principal Scientist Advisor
Professor Jin Xuan is a leading expert in sustainable chemical engineering and digital innovation. He is Associate Dean (Research and Innovation) at the University of Surrey and CTO of R3V Tech. As Principal Scientific Advisor to EcoShift.ai, he shapes the technical roadmap, embeds sustainability into process design, and ensures the AI-driven simulation tool meets industrial needs through rigorous validation and collaboration.
John Liley
Business Advisor
John Liley is a Chartered Engineer and senior board advisor with over 40 years of experience in technology commercialisation, strategic planning, and business growth across high-technology engineering sectors. As Business Advisor to EcoShift.ai, he draws on his expertise in IP management, market entry, and funding strategy to mentor the team and strengthen its commercial readiness. John’s extensive track record in guiding start-ups and scale-ups, securing international partnerships, and supporting successful exits brings invaluable insight to shaping EcoShift.ai’s business strategy and long-term growth.
Ross Manning
Technology Transfer Office
Ross Manning is Technology Transfer Manager at the University of Surrey’s Faculty of Engineering & Physical Sciences, with over a decade of experience in technology transfer, commercial strategy, and IP management. He has been instrumental in shaping the commercial roadmap for EcoShift.ai, strengthening the business case and market positioning through feedback on research outputs and presentations. Ross contributes expertise in market analysis, technology scouting, and IP strategy, ensuring the project is well-prepared to engage industry stakeholders and explore viable routes to market.