LDAT Online Ltd was established by former academic James White to make his Landfill Degradation and Transport model available to universities and the waste management industry. Developed and refined over two decades, the model simulates how landfill waste degrades into gases and contaminated water, known as leachate. Drawing on James’s expertise in civil engineering, fluid dynamics and waste management, it supports environmental research and organisations seeking to better understand landfill behaviour.

LDAT had evolved from a spreadsheet into a desktop application and then an online service, but its complex interface was discouraging users. Researchers and industry professionals valued the modelling capabilities yet struggled to reach the answers they needed quickly. Earlier reliance on local computing also constrained processing and storage, while the web version remained slow and cumbersome. LDAT Online needed specialist support to improve usability, performance, scalability and security without losing the sophistication of the underlying scientific model.

One Beyond reviewed the existing software and introduced parallel processing to accelerate the modelling algorithm, alongside batch processing for running multiple cases on Microsoft Azure. We developed a modern front end with a responsive editor, subscription registration and an enhanced dashboard for interpreting results. Vue.js supported smoother interactions, while Microsoft security capabilities strengthened access controls. The resulting platform made LDAT easier to use and more reliable, with delivery costs and timescales matching the original estimates.