digiLab Solutions Raises £2M to Bring AI Decision Support to Complex Industrial Operations
October 30, 2024
digiLab Solutions, a UK artificial intelligence company, has raised £2 million to develop its AI-powered decision support and performance insights platform. The company builds tools that help organisations in operationally complex sectors — including energy, utilities, manufacturing, and infrastructure — extract actionable intelligence from their operational data, improving the quality and speed of decision-making by surfacing the patterns and signals that matter most from large and often poorly structured datasets.
The challenge digiLab addresses is common across asset-intensive and operationally complex industries: organisations generate enormous volumes of operational data from sensors, control systems, asset management software, and operational workflows, but their ability to turn that data into timely, actionable insight is limited by the analytical capacity of their teams, the fragmentation of data across systems, and the complexity of the relationships between the variables that drive operational outcomes. Managers and engineers making consequential decisions — about maintenance schedules, production optimisation, safety risk, or resource allocation — often do so with incomplete or delayed information, relying on experience and intuition where systematic analysis could produce better outcomes.
digiLab's platform applies machine learning and data science techniques to the continuous data streams from operational systems, building models that can detect anomalies, predict failures, forecast performance metrics, and recommend specific actions in a format that operational staff can understand and act on without needing data science expertise themselves. The decision support layer is designed to integrate with existing operational technology infrastructure rather than requiring data migration or system replacement — lowering the implementation barrier for organisations where legacy systems are the norm.
The funding will be used to develop the platform's AI capabilities, deepen integrations with operational technology systems in the company's target sectors, and build the commercial pipeline in the UK and international markets where complex industrial operations create the strongest demand for AI-driven decision support.
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