Insig AI Revenue Rises 45% to £0.77 Million as Company Targets Profitability in FY2027

AI applications

Insig AI plc (LSE:INSG) reported a 45% increase in revenue to £0.77 million for the year ended 31 March 2026, supported by new customer contracts and revenue from existing clients.

The data science and artificial intelligence company reported an operating loss of £1.9 million and ended the financial year with £0.1 million in cash and £1.9 million in unsecured convertible debt.

New client wins during the period included the Financial Conduct Authority (FCA), which uses the company’s Transparency and Disclosure Index.

Management acknowledged operational delivery challenges that had slowed the company’s expansion and appointed a senior technology executive to improve execution.

Insig AI also completed equity fundraisings totalling £1.35 million and proposed changing its corporate name to Candessa AI.

During the year, the company expanded its product portfolio with central bank datasets, its Fund Engine and a Generative Intelligence Engine.

The central bank offering covers almost 100 countries and includes tools for translating policymakers’ speeches. The Fund Engine is being developed for asset managers, while the Generative Intelligence Engine enables organisations to apply their own decision-making methodologies across large datasets.

The company also established a digital asset division, supported by investment advisers, and completed its first digital asset investment after the financial year-end.

Looking ahead, Insig AI expects revenue for the current financial year to more than double to approximately £1.6 million and is targeting underlying operating profitability.

The company reported monthly revenue of approximately £0.1 million in both July and August, alongside new contracts for its central bank data offering and Fund Engine.

Insig AI provides data science and machine learning solutions to financial institutions, regulators and professional services firms. Its technology focuses on organising and structuring datasets, preserving data provenance and enabling information to be used with artificial intelligence applications.

The company’s FY2027 revenue and profitability targets remain dependent on the execution of its commercial and operational plans.

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