Kensho
S&P Global's AI for financial transcripts, documents and LLM-ready data
Overview
Kensho is S&P Global's AI unit: Scribe transcription, Extract for financial PDFs, NERD and Link entity matching, and an LLM-ready API and S&P Global AI Data Portal that let AI agents query S&P datasets via MCP, Claude, ChatGPT and Copilot. Enterprise pricing via S&P Global Marketplace.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 1 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
What you can produce with Kensho
- Scribe audio and video transcription
- Extract for financial PDFs
- NERD and Link entity recognition and matching
- LLM-ready API over S&P Global datasets
- S&P Global AI Data Portal with Adaptive Retrieval agents
- MCP server and AI assistant integrations
Kensho is the AI engine behind much of S&P Global's data products, and its LLM-ready API and new AI Data Portal are among the most practical ways to give AI agents trustworthy financial data, with answers traced back to filings and connectors for the major AI assistants. It is an enterprise offering with no public pricing, built around S&P Global's datasets, and its accuracy claims are its own. A strong option for banks, asset managers and analysts already working with S&P data.
What we found
Kensho is S&P Global's artificial-intelligence unit, founded out of Harvard and MIT in 2013 and bought by S&P Global in 2018. It builds AI tools for financial data and documents. Its core capabilities include Scribe, which transcribes audio and video such as earnings calls; Extract, which turns unstructured financial PDFs into machine-readable data; NERD and Link, which identify companies and other entities in text and match them to S&P Global identifiers, covering about 70 million public and private companies; and the LLM-ready API, which lets AI models query S&P Global datasets such as Capital IQ financials, market data, earnings-call transcripts, M&A transactions and private-company financials, with answers linked back to the source filing. In September 2026 it launched the S&P Global AI Data Portal, combining that deterministic retrieval, with more than 35 specialised tools, with a new Adaptive Retrieval system that runs more than 15 agents; Kensho says it is the first to offer both. The data can be reached through a remote or local MCP server, a Python library and SQL tooling, and through Claude, ChatGPT, Gemini Enterprise, Microsoft Copilot, Amazon Quick Suite, Databricks and Mistral. Kensho MCP Apps are in beta for selected customers, and it has partnered with Cohere.
Kensho's technology also powers S&P Global products such as Capital IQ Pro and Energy Core and S&P Global's internal generative-AI platform, Spark Assist. Its early backers included Google Ventures, Goldman Sachs and JPMorgan Chase, and Kensho Technologies has offices in Cambridge, Massachusetts, and New York. Kensho says an update cut Scribe's error rate by about 30% on 2024 earnings calls, and that RBC rolled out a Kensho-powered tool to 8,000 employees; both are vendor figures.
There is no public price or free tier: access to the LLM-ready API is requested through S&P Global Marketplace or sales, and Scribe's documentation describes accounts with a fixed allowance of transcription time.
It suits financial institutions that already rely on S&P Global data and want AI built on it.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
About this listing
This entry was compiled from publicly available data including Kensho's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Kensho unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Kensho directly →
Spotted something out of date? Suggest an update →
Alternatives to Kensho
More in Business & Finance
