Revenues climb in ‘breakout year’ for AI and machine learning company

Sheffield-based software business, IntelliAM AI, reports its total pro-forma revenue increased by 39 per cent to approximately £3.90m (FY 2024: £2.80m) in a trading update for the full year ended 31 March 2025.

The company explains this reflects strong commercial traction and accelerating customer adoption.

For the same period, its annual Recurring Revenue grew by more than 400 per cent when comparing March year end with the half-year in 2025, rising from £149,000 in September 2024 to over £800,000 by year-end.

The business says this rise indicates a significant shift towards sustainable, high-quality revenue streams.

Tom Clayton, chief executive officer, said: “The financial year ended 31 March 2025 was a breakout year for IntelliAM.

“With annual recurring revenue increasing by more than 400 per cent in H2 over H1 and pro-forma revenue up at approximately 39 per cent year-on-year we are now seeing significant validation of our model.

“Our AI platform is now embedded in more than 60 major manufacturing sites, with a growing number moving into the later stages of our adoption framework-where the value and profitability compound.

“We remain confident in delivering on our growth plans for the year ahead and are excited by the scale of opportunity in front of us.”

The firm adds that it ended the year with gross cash of approximately £1.97m, supporting continued strategic investment in AI innovation and customer delivery.

And over 60 enterprise sites onboarded to the IntelliAM platform during the year.

The business says it remains confident in its growth trajectory and anticipates annual recurring revenue growth in the current year to 31 March 2026 to exceed 250 per cent.

IntelliAM uses AI models to increase operating efficiency of the existing assets of its manufacturing clients.

The company achieves this by harnessing data from clients’ machines and operational systems processed through the IntelliAM platform to provide actionable insights.

These encompass areas including productivity, reliability and supply chain optimisation as well as energy efficiency and sustainability.