SageX AI has unveiled an expanded platform designed to help hedge funds and asset managers convert unstructured data into actionable intelligence, addressing a growing bottleneck in AI-driven investment strategies.

The new solution targets the challenges posed by the sheer volume of unstructured data generated across capital markets. More than 90% of modern enterprise data—such as research reports, earnings transcripts, filings, news, emails, and alternative datasets—remains difficult to operationalise for AI and analytics. SageX’s platform uses machine learning, natural language processing, and large language models to transform this data into structured, machine-readable formats ready for investment, risk, and operational workflows.

Industry professionals often spend over 20 hours per week cleaning and preparing data, delaying decision-making and reducing the ability to act on market signals. SageX aims to cut this inefficiency by offering a no-code, enterprise-ready platform that allows analysts and investment teams to build complex data workflows in hours rather than months.

The platform can process more than 10,000 document types and layouts, integrating fragmented unstructured data with structured datasets like portfolio and security master records. According to SageX, this creates a unified, real-time view of risk and opportunity, improving portfolio analysis, investment speed, and risk management. The system also streamlines middle- and back-office functions, including compliance, reporting, onboarding, and reconciliation.

SageX claims that the platform can reduce enterprise data processing costs by up to 80–90%, while improving accuracy and accelerating AI model training and recalibration. By turning unstructured information into structured, governed, and AI-ready data, the firm positions itself as a foundational layer for firms seeking a competitive edge in data-driven investing.