About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Kensho Integrates Link AI with S&P Cross-Reference Capabilities to Improve Client Data Management

Subscribe to our newsletter

Kensho Technologies, an S&P Global company, has integrated its Link AI solution with S&P Global Market Intelligence’s Business Entity Cross Reference Service (BECRS) to streamline client data management.

By combining Kensho Link, a machine learning service that maps entities in a user’s database to unique ID numbers from S&P Global’s company database, and BECRS datasets that provide cross-reference capabilities for millions of public and private entities, clients can connect more to data and produce higher quality downstream decision-making insights.

This is achieved by using an API or user interface that allows Kensho Link users to enrich data using third-party identifiers from the BECRS dataset; disambiguate data to make data connections more efficient; and take advantage of an integrated Data-as-a-Service solution that centralises entity data and improves the efficiency with which clients upload and manage their data.

Lance Risi, global product director of cross reference services at S&P Global Market Intelligence, says: “As S&P continues to encourage its clients to enrich their data with S&P content, combining Kensho Link with BECRS and its global identifiers from around the world will enable clients to streamline the integration process easier and faster.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Building a Semantic Layer for Your Enterprise Data Estate

The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics and value without having to use precise technical terminology. Data engineers achieve this through semantic layers,...

BLOG

MCPs in Data Management: Bringing New Order to Private Markets

Financial institutions have begun deploying Model Context Protocols (MCPs) as they have expanded the use of artificial intelligence applications and agents. The technology developed by Anthropic is an open-source contextual layer that helps coordinate models and data, enabling AI applications to connect with a multitude of other platforms and processes. In the first of a...

EVENT

RegTech Summit London

Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...