Severn Trent to build AI platform for wastewater work

Severn Trent is seeking artificial intelligence (AI) and data visualisation experts to help improve its wastewater operations.

In an appeal to market – posted on the UK’s Find a Tender service – Severn Trent reveals plans to build a “wastewater visualisation platform”.

At this stage, the company is just seeking market partners to register their interest. However, it expects to publish a formal tender notice in February next year following market engagement sessions.

The tender notice adds: “Addressing the complex and competing environmental, operational performance, and customer impact challenges in wastewater management needs an asset intelligence, analytics and decision support capability to ensure we continue to deliver on our performance commitments and mitigate any impact to the environment in which we operate.

“We are seeking to understand which analytics and visualisation platforms are available, and how they can provide both the underlying digital architecture platforms and the diagnostic and predictive insight required to ensure that we continue to take waste safely away.”

The tender notice adds that the required platform will enable Severn Trent to “develop, procure, host, integrate, connect, and run a range of models and software to deliver both operational intelligence and investment intelligence capabilities to a range of diverse stakeholders across the wastewater management hierarchy”.

Severn Trent has repeatedly outperformed the rest of the sector when it comes to environmental measures.

The company is currently leading the industry on measuring and eliminating process emissions at wastewater treatment plants and will continue these efforts in PR24 with £300 million earmarked to stop greenhouse gases being emitted during sewage treatment and bioresource processing as well as £100 million to replace fossil fuels being used across the business.

Of its £12.9 billion total expenditure slated for PR24, £5 billion is for enhancements needed to improve the environment.