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Industry leaders are working to ensure sustainable water supply and waste water services in decades to come. AI and predictive analytics are already maximising efficiency in operations and reducing consumption. We can help you to innovate through smart technology and data to optimise operations and achieve your performance targets.


The water industry is currently facing many challenges, from aging infrastructure to climate change.

Importantly, the sector experiences a widespread loss of knowledge related to the ageing skilled workforce difficult to replace.  By investing in AI and advanced data analytics, water utilities can improve asset and knowledge management, ensure water quality, reduce costs, and enhance customer engagement while embracing the journey to net zero. 

Your Intelligent App is



Unlock your networks potential with intelligent Demand forecasting.



Harness Asset operations data and safeguard expert knowledge.



Improve network resilience with early asset detection using digital twin.

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Enable net zero with accurate modelling for emissions at scope 1, 2 and 3.

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Elevate your Priority service capabilities to meet evolving customer needs.

Here to help

“Ciao! I’m Simone and I’m CKDelta’s utilities expert. Having worked for one of the UK’s largest suppliers before joining CKDelta, I understand the intricacies of managing supply and infrastructure and, even better, I understand how we can help you. Get in touch for a chat and I’ll be happy to tell you more about it.” Simone Torino

The challenge ahead

  1. Planning for external shock and weather conditions – Worsening drought 
    conditions, wildfires and flooding across Europe have made clear the scale of 
    the climate crisis we face and the need for future resilience against extreme 
    weather events. We must now look to embedding predictive analytics in current 
    forecasting and simulation models such as digital twins - to enable the sector to 
    plan against, and advance understanding of, such shock scenarios.
  2. Infrastructure upgrades – Deteriorating infrastructure poses a threat to the 
    security of our energy and water supply and passes on considerable costs to 
    consumers. To target necessary upgrades, operators must transition to whole 
    systems models and promote greater innovation in how we maintain
    existing assets. 
  3. Shifting patterns of usage – Shocks to supply have ushered in a new era of 
    unpredictability in planning and demand. We re-affirm the need to rollout 
    integrated solutions that can accurately accommodate these shifting trends at 
    both a macro and micro level to account for more complex variables that arise 
    from shifting patterns of consumption
  4. Transition to a clean, green, renewable energy-powered future – The rollout 
    of new technologies such as hydrogen and ground and air source heat pumps 
    will necessitate new data models and simulation tools to ensure the grid can 
    accommodate fluctuating patterns of demand. This will inevitably grow as we 
    accelerate to the creation of low carbon industrial clusters that require enhanced 
    interoperability of data.