MSCI to offer clients AI connectors for proprietary data

MSCI to offer clients AI connectors for proprietary data

MSCI Introduces AI-Powered Connectors for Proprietary Data Integration
February 24, 2026

MSCI has announced the deployment of AI-driven connectors designed to streamline access to proprietary data for institutional clients, enhancing efficiency in portfolio management and risk analysis. These tools, part of MSCI's broader AI portfolio, aim to automate data validation, document review, and metric customization, reducing manual workflows in private market operations.

The AI connectors leverage natural language processing and machine learning to extract, tag, and classify fund documents from diverse sources, including portals and emails. This automation enables clients to access real-time transparency into data sources, methodologies, and portfolio metrics while maintaining traceable audit trails. For instance, users can query custom performance metrics via conversational AI, generating instant summaries of complex datasets without manual coding or review.

MSCI's solution integrates with cloud platforms like Snowflake, allowing clients to embed risk and performance analytics into existing systems for scalable analysis. The technology also supports dynamic visualizations and collaborative workflows, enabling investment teams to share risk insights through dashboards and narrative summaries. By automating routine tasks—such as onboarding, compliance tagging, and document archiving—the platform aims to improve operational readiness and regulatory preparedness.

The development aligns with MSCI's strategic goal to achieve 95% AI coverage of routine tasks by 2025, supported by partnerships with Google Cloud, Microsoft, and OpenAI. These collaborations ensure the tools process over 1.5 million documents annually across 140+ data points, tailored to private market challenges.

Clients can access features such as Document Management for secure storage, AskPCI for conversational analytics in private capital, and SourceView for traceability of metrics like NAVs and IRRs. The solution emphasizes data security and compliance, with metadata-linked outputs designed to meet regulatory standards.

By embedding AI into core workflows, MSCI positions its clients to address evolving demands in private markets, balancing speed, accuracy, and transparency in data-driven decision-making.