SEPANTA, the London-based AI company, has signed seven new enterprise contracts in the past month, including one six-figure deal. The contracts matter to the sector because they suggest large buyers are weighing AI as a route to revenue growth and new products, not only cost reduction.

SEPANTA, formerly GOODFOLIO, was founded by brothers Omid and Dr Nima Pakseresht as an ethical investment platform before rebranding as an AI operating system for enterprise workflows in finance, compliance and healthcare. It has generated more than £1 million in revenue and has grown without institutional venture capital, relying on customer revenue, angel investment and three crowdfunding rounds.

McKinsey's latest State of AI survey found about 80% of organisations pursuing efficiency gains from AI, with only the 6% it classes as high performers also seeking growth or innovation. Bain & Company has estimated that most of the profit at stake from AI between 2025 and 2035 will come from innovation and market share shifts rather than productivity.

Spending is rising regardless, with Gartner forecasting worldwide AI spending growth of 49.5% in 2026 and spending on AI agents and assistants set to more than double in 2027.

Omid Pakseresht, Chief Executive Officer of SEPANTA, said: "The question a board should be asking has changed. It is no longer about which tasks can be automated. It is which parts of the business are currently invisible to the systems that run it."

Dr Nima Pakseresht, Co-Founder and CPTO at SEPANTA, said: "Every organisation now has a dozen AI tools and no system." He added: "The next frontier is not another tool. It is the layer that makes the others worth having."

Omid Pakseresht rejected the idea that revenue-led growth is the modest option, noting that customers can withdraw their verdict every month. The portfolio includes Finspector, a financial marketing compliance platform, NuStream, a shelf demand tracking engine, and GoodMora, a strategic intelligence platform.

The structural driver is tool sprawl, as vendors argue that organisations holding many disconnected AI products need an integration layer to find commercial opportunities.

For the sector, the contracts point to enterprise AI buying criteria widening from headcount savings towards revenue visibility and new product development.

Source: cfotech.co.uk / businesscloud.co.uk / techround.co.uk