Ella Campbell - Estates. What problem are you trying to solve?The construction industry remains one of the least digitised sectors, characterised by fragmented data, inconsistent cost reporting and limited analytical capability. This hinders evidence-based decision-making and perpetuates inefficiencies across project lifecycles. EMC.ai addresses this by converting unstructured project data, such as tenders and cost plans, into structured, comparable intelligence. The platform enables systematic benchmarking, anomaly detection and predictive cost analysis, supporting transparency and efficiency in early-stage project planning. By unlocking latent data value, EMC.ai contributes to data-driven innovation within the built environment and advances applied AI research in a complex, real-world domain.What is your idea?EMC.ai is a data-driven software platform designed to enhance decision-making in the construction industry through applied artificial intelligence. It uses transformer-based natural language processing to analyse unstructured project documentation and convert it into structured, comparable datasets. These outputs enable predictive cost modelling, automated benchmarking, and early identification of commercial and sustainability risks. My background is as a Project Manager and Quantity Surveyor, and I created EMC.ai to demonstrate how AI can be responsibly deployed in a high-impact, under-digitised sector. The platform’s broader research ambition is to establish an integrated data framework for the built environment, linking data-driven insight with industry practice. This article was published on 2025-11-17
