LLM-ready deterministic retrieval
Provides API-driven access to S&P Global data for LLMs and agents, with deterministic retrieval that returns the same answer for the same question.
Kensho
ReclamarKensho is S&P Global’s enterprise AI engine for data retrieval and AI-ready data transformation, connecting trusted data to LLMs, agents, and custom apps.
Overview
Kensho is S&P Global’s AI engine for enterprise data retrieval and AI-ready data transformation. It combines retrieval APIs, document and entity intelligence, and transcription tools to help business and finance teams connect trusted S&P Global data to LLMs, agents, and other AI workflows.
The product suite is organized around two main jobs: delivering the right data to AI applications and preparing complex source material so it can be used reliably downstream. The LLM-ready API is designed for deterministic retrieval, while core AI capabilities such as Kensho Extract, Link, Scribe, and NERD turn PDFs, company records, audio, and unstructured text into structured outputs.
Key capabilities
Flexible AI integration
Supports ChatGPT and Claude natively, and can also be embedded in custom AI applications or connected through MCP-compatible tooling.
Cited and traceable outputs
Returns cited, auditable answers grounded in S&P Global sources, with links back to original filings where available.
PDF extraction
Converts unstructured PDFs into machine-readable data, preserving complex page layouts across text, tables, and figures.
Entity linking at scale
Matches company data to S&P Global IDs and global identifiers at scale, even when source data is messy or incomplete.
Transcription and text enrichment
Offers financial audio transcription and entity disambiguation tools for structured enrichment of complex business data.
Common use cases
Company analysis
Use the LLM-ready API to retrieve company financials, segment revenue, consensus estimates, and other structured data for analysis across public and private companies.
Qualitative research
Surface themes, executive commentary, and transcript details from earnings calls and company profiles to support research workflows.
Market and valuation analysis
Track pricing trends, valuation metrics, peer benchmarks, and risk signals for equity research or pitch book development.
Document extraction and normalization
Convert PDFs, tables, and figures into machine-readable data for downstream modeling, search, and document workflows.
Entity resolution and enrichment
Map messy company records, transcriptions, or text entities to structured identifiers to improve matching, enrichment, and agentic workflows.
Pros and Cons
Pros
- Covers both data retrieval and data preparation in one product suite.
- Designed for enterprise AI workflows in business and finance, where traceability and structured outputs matter.
- Supports deterministic retrieval, which is useful when teams want consistent answers and tighter orchestration control.
- Provides multiple specialized capabilities, including PDF extraction, entity linking, audio transcription, and named entity disambiguation.
- Includes builder-oriented tooling such as an MCP server, Python library, and SQL tooling for integrating with applications.
Cons
- Pricing details are not published on the pages provided, and the pricing URL currently returns a 404.
- Some capabilities and workflows are described at a high level only, so buyers may need product demos or documentation to assess fit for specific implementations.
FAQ
What is Kensho used for?
Kensho provides AI infrastructure and data retrieval solutions for enterprise workflows in business and finance. Its LLM-ready API and core AI capabilities help teams access, structure, and enrich S&P Global data for AI applications.
How does the LLM-ready API integrate with AI tools?
The LLM-ready API supports deterministic retrieval for LLMs and agents, with native support for ChatGPT and Claude and the ability to embed the API in custom AI applications. Kensho also offers an MCP connector and a Python library for builders.
What are Kensho's core AI capabilities?
Kensho Extract converts unstructured PDFs into machine-readable data, Kensho Link maps company data to S&P Global IDs and global identifiers, Kensho Scribe transcribes financial audio, and Kensho NERD links entities in text to structured knowledge bases.
Who typically uses Kensho?
Kensho's solutions are aimed at enterprise AI use cases in finance, such as company analysis, qualitative research, market performance analysis, investment banking workflows, transcript intelligence, and document extraction.
How much does Kensho cost?
The source does not provide pricing details. The pricing URL currently returns a 404, so pricing structure, tiers, and contract terms are not specified on the site pages provided.
Quick Facts
- Category
- Enterprise AI / Data Retrieval
- Primary users
- Business and finance teams, AI builders, and enterprise engineering teams
- Core products
- LLM-ready API, Kensho Extract, Kensho Link, Kensho Scribe, Kensho NERD
- Deployment fit
- LLMs, AI agents, and custom AI applications
- Source domain
- kensho.com
- Pricing
- Not publicly specified on the provided pages