2023 Sees Global Growth in Data-Driven Decision Support Technology for UK Tech Start-Up
Growing UK tech company – Nottingham based Cognitive Business - has reported substantial new contract wins during the first months of 2023 as the business continues to position itself as one of UK’s leading machine learning and applied A.I. innovators operating in the energy transition space.
The business - which specialises in machine learning technology for this sector, providing complex data insights to enhance decision-making and boost productivity - has announced in Q1 of 2023, a number of new contracts with multiple operators in conventional and renewable power generation and expects to see continued sales growth in these segments.
Technical Director at Cognitive, Thomas Humphries, expressed his delight at the company's successful start to 2023: “This is very much down to the dedicated efforts of the Cognitive team and the fast-paced growth in the energy transition field, particularly in wind power.
“In this sector, operators are constantly seeking ways to optimize asset performance and efficiency through data-driven decisions. In this space Cognitive has fantastic collaborations with some of the most forward-thinking operators worldwide, working together to create technologies for deep-analytics focussed on extracting insight from complex, yet interrelated, and disparate data.
“With the explosion of data storage and connectivity, Cognitive is well placed to meet the growing demand for advanced decision support technologies, such as condition analytics, performance analytics, scheduling, and forecasting, going well beyond what was possible even three years ago.”
Cognitive's technology has now been deployed on power generation assets across the UK, Europe, South America, and Australia, totalling over 7GW of power generation assets with live technology implementations.
Founded in 2018, Cognitive Business has established itself as an industry leader in machine learning and applied AI, developing a diverse array of decision support, performance monitoring, and predictive maintenance solutions for a wide range of applications.
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Jane Gatiss
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