Entopy will implement AI data analytics across the Bio Capital business, increasing biogas yield and renewable electricity and gas (biomethane) production, in a ‘first’ for the UK anaerobic digestion (AD) sector.
Over the past few years, Bio Capital has invested in building a robust digital infrastructure to accurately capture and bring together large-scale operational data from its AD sites across the UK. This consolidation has allowed the company to identify and understand key performance drivers across its portfolio. Now, in partnership with Entopy, Bio Capital is leveraging this data with real-time, AI-driven analytics, enabling predictive modelling to make highly accurate forward projections.
Bio Capital’s AI partner, Entopy, uses advanced AI analytics and predictive models to transform large-scale infrastructure and logistics businesses such as the Port of Dover, where the company achieved 95 percent accuracy in forecasting traffic arrivals.
“The collaboration with Entopy is already yielding impressive results in its development and testing phase” said Karan Tyagi, Head of Business Intelligence at Bio Capital. “In just five weeks since the development stage, the AI models have achieved an 85 percent accuracy in predicting biogas yields using 2024 data, with a clear trajectory to reach 95 percent accuracy in the near future. This performance highlights the transformative potential of data-driven insights in optimising feedstock management.”
The project also involves trialling the use of a user-friendly interface powered by a large language model (LLM), similar to well-known agents such as ChatGPT. This interface allows teams to easily query data and receive instant insights, making the technology accessible to users without technical AI expertise.
“This is the first time we are partnering with an energy business of this scale and scope to provide real-time data insights and we are delighted with the way the predictive modelling is performing so far” added Toby Mills, CEO of Entopy. “Our partnership demonstrates first-hand how AI technologies can enable us to harness the full potential of renewable energy, reduce waste and minimise environmental impact.”
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