AFTAs 2025: Best new technology introduced over the last 12 months (data management and data services)—S&P Global Market Intelligence

Overview

The Kensho LLM-ready API is designed to enable users to integrate complex S&P Global datasets into GenAI applications, including ChatGPT, Gemini and Claude. The goal of the solution is to make S&P Global’s financial data accessible through natural language query wherever its customers need it. At release, the API supported financial statements, financial line items, market prices, and price charts from the S&P Capital IQ Financials and Market Data offerings.

Premise  

At release, the API supported financial statements, financial line items, market prices and price charts from the S&P Capital IQ Financials and Market Data offering. The firm has since expanded its coverage of those datasets to include segment-specific financials, market capitalization and total enterprise value (TEV) data.

To support additional workflows, S&P Global has added company intelligence, competitors, private company financials, M&A transactions and earnings call transcripts datasets. Private markets data offers new capabilities for analysts and investors, allowing customers operating in sectors where disclosure is limited to surface deeper insights, conduct diligence more efficiently, and explore markets that were previously difficult to map using traditional tools.

Adding earnings call transcripts marked another major milestone. Unlike vector-based retrieval methods, which often return short excerpts or snippets, the API returns full transcripts. This allows LLMs to analyze complete documents in order to generate summaries, extract quotes, and perform sentiment and trend analysis.

Differentiators  

AI applications are only as good as the data they are trained on. S&P Global’s financial data, experience and insights are what it sees as its key differentiators. The firm’s competitive advantage lies in its domain expertise and financial datasets built over decades, made available to customers’ GenAI applications via the Kensho LLM-ready API.

Future plans

S&P Global is looking to expand the Kensho LLM-ready API’s capabilities to support emerging trends in agent-based workflows. As customers build multi-agent systems, the firm is working to make more datasets available to them. The team is currently developing an agent for the API that will integrate with Kensho’s Grounding Agent (currently in alpha), which utilizes a routing agent to direct queries to the most appropriate underlying tool, while providing auditable citations to S&P Global source data for enhanced transparency.

Why they won

S&P Global Market Intelligence is likely to remember Q4 of 2025 with fondness, thanks to its record-equaling four wins in the recent Buy-Side Technology Awards, where it walked away with the awards for the best buy-side corporate actions platform, best buy-side CRM platform, best private markets data provider, and best overall technology provider for 2025. 

This year’s AFTAs success comes on the back of the firm’s Kensho LLM-ready API offering, designed to allow clients to make high-quality financial data usable in natural language workflows without compromising its depth or accuracy. The project is designed to deliver a range of data types, including structured statements, market data, private company information, M&A records and full earnings call transcripts via a single interface that connects directly to AI models, including ChatGPT, Gemini and Claude. This provides analysts on both sides of the market with access to complete datasets rather than fragmented excerpts, which in turn allows them to make faster, more accurate and judicious business and investment decisions. 

S&P Global’s continued expansion of data coverage and its move toward agent-based workflows indicates a clear commitment by the firm to practical, day-to-day innovation when it comes to data delivery and transparency.