GoldenSource has launched an artificial intelligence platform called GoldenSource Scout, which is designed to help financial services firms establish trusted data context for AI models.
The release follows findings from the InvestOps 2026 research report, which indicated that 98 per cent of firms are concerned that poor data could lead to incorrect artificial intelligence insights.
“The test for AI is not whether it can generate answers, but whether those answers can stand up to operational scrutiny, governance expectations and board-level accountability,” said GoldenSource chief executive James Corrigan. “That is where trusted data context becomes essential.”
The platform allows clients to query and interpret data across multiple domains through a chat interface or an agent-building tool deployed on Amazon Bedrock.
It expands upon the company’s previous data management services, which have focused on standardising and operationalising complex market data for four decades.
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