Costain and WSP to develop AI-powered data analytics platform

Costain and WSP to develop AI-powered data analytics platform

Costain, the infrastructure solutions company, in partnership with WSP, has been granted funding by Northumbrian Water to develop a new AI-powered platform designed to improve the efficiency and accuracy of data, thereby reducing delivery times for the company’s capital projects during asset management period 8 (AMP8).

The funding will enable Costain and WSP to develop a proof-of-concept for WISDOM – Wastewater Insights for Standardisation, Delivery, Operation and Maintenance – a platform that uses generative AI technology to capture, standardise and analyse large volumes of data from a variety of sources, providing a comprehensive intelligent database of operational assets.

With AMP8 investment programmes likely to see a doubling of investment from the previous cycle, and a corresponding increase in asset interventions, capital delivery and operational teams need to manage and evaluate larger, more complex sets of data for compliance purposes.

The WISDOM AI platform would seek to optimise, combine and process huge datasets, providing richer insight into operational performance for capital delivery teams working on AMP8 projects. The expectation is that the platform will reduce the need for wastewater works managers to repeatedly provide and analyse operational data for delivery teams, thereby reducing time spent on data entry which can be up to 45% of their working week. This will in turn improve overall delivery times and potentially save more than £10mn for Northumbrian Water over the course of the AMP8 lifecycle.

Richard Seales, Head of Engineering, Northumbrian Water, said: “Coming up with fresh ways of thinking about the delivery of new and upgraded wastewater assets is not easy, but Costain and WSP have more than risen to the challenge, and their energy and enthusiasm has been plain to see. This was one of the standout ideas from our Innovation Festival and we’re excited to see how its application could solve a big challenge facing the whole of the water sector.”