Kensho
- Company typePrivate
- Founded2013
- HeadquartersCambridge, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
Kensho firmographics
Firmographics- Name
- Kensho
- Legal name
- Kensho Technologies, LLC
- Website
- https://kensho.com
- Company type
- Private
- Founded year
- 2013
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
Kensho industry classification
Industry- Product category
- Enterprise Financial Data & AI APIs
- NAICS
- Software Publishers (5132), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Search, Retrieval & Semantic Ranking (BM25/vector, hybrid) (HDAAADAB)
- akta.pro secondary industries
- Annotation Tooling & Workflow Management (HDAAALAC), NLP Developer Tools & Evaluation (prompting, testing, benchmarks) (HDAAADAK), OCR, ICR & Intelligent Document Processing (IDP) (BPAAAKAB), Image Classification & Tagging (HDAAAEAA)
Keywords
Where Kensho is headquartered
LocationHeadquarters
- HQ city
- Cambridge
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Kensho business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- API subscriptions (LLM-ready API, Extract, Scribe, NERD, Adaptive Retrieval, Link): Recurring access to Kensho's REST APIs/MCP servers (production keypair auth path, batch and real-time endpoints), positioned as paid tiers beyond the free trial.
- Enterprise licensing to financial institutions: Enterprise commercial agreements sold via dedicated sales ([email protected]) for regulated banks, asset managers, private equity and other financial services firms (e.g., Tegus case study reducing admin workload 70%).
- S&P Global Marketplace listing: Distribution of Kensho solutions (Link, Scribe, Extract, etc.) through the S&P Global Marketplace storefront, enabling curated third-party discovery and dataset/solution bundling.
- AI-platform embedded skills/plugins: Embedded financial-skills plugins inside partner agentic platforms (Anthropic Claude Cowork, Cohere North, ChatGPT), monetized through S&P Global/Kensho enterprise agreements tied to platform usage.
- Human-in-the-loop transcription services (Kensho Scribe MRHR): Professional services layer wrapping Kensho Scribe with human reviewers trained in business/finance language, sold to expert-network firms and S&P Global for earnings calls.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Annual | Free trial available; paid tiers via keypair/production authentication (quote-based) |
Go-to-market motion1 record
Distribution channels7 records
Marketing channels8 records
Kensho product offering
Product offeringCore offering
Kensho builds AI-powered data retrieval, document understanding, speech-to-text, and entity recognition products that connect S&P Global's trusted financial datasets to large language models, agents, and enterprise AI workflows. Offerings include the Kensho LLM-ready API (with MCP server support and a Grounding multi-agent framework), Kensho Scribe ASR, Kensho Extract document parsing, Kensho NERD entity recognition, Kensho Link entity resolution, and Kensho Classify text classification. Products are sold as APIs, enterprise licenses, and embedded plugins across partner AI platforms.
Product overview
Kensho is S&P Global's AI innovation engine, operating as a platform-plus-modules architecture. Its core products span enterprise data retrieval and AI capabilities, organized around three pillars: (1) data retrieval — led by the flagship Kensho LLM-ready API (including the Grounding multi-agent framework on LangGraph, Adaptive Retrieval, and MCP integrations), (2) core AI capabilities — Kensho NERD, Kensho Link, Kensho Classify, Kensho Extract (with OCR and Figure Extraction), and Kensho Scribe (ASR/transcription), and (3) open-source tooling like Kenverters, plus research outputs such as PubTables-v2 and S&P AI Benchmarks. Together these connect S&P Global's trusted financial datasets (S&P Capital IQ Financials, Earnings Call Transcripts, Private Company Financials, etc.) to LLMs and AI agents across enterprise and partner ecosystems.
Differentiator
Problem solved
Functional benefit
Brands
- Kensho LLM-ready API: API offering enabling customers to query S&P Global's financial datasets using natural language via large language models.
- Kensho Extract
- Kensho Scribe
- Kensho NERD
- Kensho Link
- Kensho Classify
- Adaptive Retrieval
Products and services
- Kensho LLM-ready API An API that connects LLMs, agents, and AI applications to S&P Global's trusted financial datasets via natural-language queries, with a Model Context Protocol (MCP) server, Python client library, OAuth-based custom setups, and remote MCP server support for tools like Claude, ChatGPT, Microsoft Copilot Studio, Amazon Quick Suite, Databricks, and Mistral.
- Kensho Scribe Machine learning-based Automatic Speech Recognition (ASR) service that transcribes business and financial audio (e.g., earnings calls, expert calls) with industry-tuned models, optional Human-in-the-Loop review for Machine-Readable Human-Reviewed (MRHR) transcripts, custom dictionaries, and batch/real-time APIs.
- Kensho Extract Document parsing service that transforms PDF documents into structured JSON, featuring first-class text ordering, state-of-the-art table structure recognition, OCR for scanned documents, and patent-pending Figure Extraction for pulling raw data from charts.
- Kensho NERD Natural entity recognition and disambiguation product that identifies key elements in text and links them to connected data sources such as S&P Capital IQ or Wikimedia, recognizing nearly 100 million total entities. Includes a NERD UI for visual research.
- Kensho Link Machine learning service that maps company entities in customer databases to unique ID numbers from S&P Global's Capital IQ database of over 31 million entities, even when data inputs are ambiguous or contain errors; integrates with BECRS for cross-reference identifiers.
- Kensho Classify Text classification solution tuned for the language of business and finance that identifies where specific concepts occur in text via concept-set, zero-shot, and custom-concept modes, returning paragraph-level annotations with confidence scores.
- Kensho Grounding Unified multi-agent AI framework built on LangGraph that routes natural-language queries to specialized data retrieval agents, unifying and streamlining access to fragmented S&P Global financial datasets with verified, citation-backed answers.
- Kensho Adaptive Retrieval Adaptive retrieval system featuring Data Agents that route queries to appropriate S&P Global datasets, with MCP guide and third-party integrations, sample prompts, and supported datasets for AI-driven workflows.
- Kensho MCP Apps Suite of applications embedded inside AI chat interfaces (e.g., Claude, ChatGPT) that turn S&P Global data into interactive charts, tables, and visualizations, allowing users to explore, filter, and ask follow-up questions in real time without leaving the conversation.
- Kenverters Open-source Python developer toolkit that provides conversion tools for Kensho Extract output, supporting conversion to Items, full text extraction, markdown conversion, table extraction, organized sections, and visually formatted text.
- S&P Global Plugin for Anthropic Claude Cowork Plugin that provides financial skills for AI agents on Anthropic's Claude Cowork platform, including generation of company tearsheets, industry transaction summaries, and earnings previews, with model-agnostic customizable skills.
Quantifiable outcome
- Reduced Tegus's administrative workload by 70% via Kensho AI for transcription/compliance
- +3 more outcomes
Companies that use Kensho
Customer profileNamed customers1 record
Segments5 records
Ideal customer profiles5 records
Kensho technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration9 records
AI capability6 records
Feature11 records
Kensho partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered flagship and core.
- Cohere (North platform)flagshipS&P Global strategic collaboration with Cohere integrating S&P Global's financial data into Cohere's secure enterprise AI platform North to provide verifiable, citation-backed AI workflows for regulated financial institutions. Targets the trust deficit in financial AI adoption via sovereign AI deployment inside institutional firewalls, addressing data residency and compliance. Customers can access financial data directly within Cohere's secure agentic AI platform.
- OpenAI (ChatGPT)flagshipS&P Global delivers trusted financial data and insights to customers through ChatGPT, enabling them to access S&P Global datasets including Capital IQ Financials and Earnings Call Transcripts via natural language. Builds on the existing MCP connector integration with Anthropic and pairs with Kensho's LLM-ready API.
- InceptionflagshipInception and Kensho announced a strategic collaboration at GITEX Global 2025 to develop AI solutions for financial institutions. The partnership aims to enable clients to extract insights, optimize decision-making, and improve operational efficiencies globally, leveraging Kensho's AI expertise and Inception's regional knowledge.
- Anthropic (Claude)flagshipS&P Global and Anthropic announced collaboration to bring trusted financial data into Claude. Kensho developed a cutting-edge Model Context Protocol (MCP) server enabling seamless access to S&P Global's trusted financial and market data (Capital IQ Financials, earnings call transcripts) through Claude, including a financial-skills plugin for Anthropic's Claude Cowork platform that generates company tearsheets, industry transaction summaries, and earnings previews, with future capabilities planned for valuation modeling and M&A transaction analysis.
- Google CloudcoreGoogle Cloud is featured as one of Kensho's AI ecosystem partners via logo placement on kensho.com; consistent with the company's broader LLM-ready API and Adaptive Retrieval integrations.
- Amazon Web Services (AWS)coreAWS is featured as a partner on kensho.com, and Kensho's distributed-training infrastructure runs on AWS (EC2 GPU nodes, S3, EFS, Elastic Fabric Adapter). Amazon Quick Suite is also listed as a third-party MCP integration for the LLM-ready API.
- SnowflakecoreSnowflake is featured as one of Kensho's AI ecosystem partners via logo placement on kensho.com, aligning with Snowflake-based data delivery for Kensho's financial data products.
- LangChaincoreLangChain is featured as a partner on kensho.com; Kensho's Grounding multi-agent framework is built on LangGraph (LangChain's graph-based orchestration library), enabling routing of natural-language queries to specialized data retrieval agents.
- Microsoft (Copilot Studio)coreMicrosoft Copilot Studio is listed as a supported third-party integration for Kensho's LLM-ready API via MCP, enabling Copilot-based agentic access to S&P Global datasets.
- DatabrickscoreDatabricks is listed as a supported third-party integration for Kensho's LLM-ready API via MCP, complementing Kensho's prior collaboration with the Databricks Data + AI Summit (DAIS 2023) and S&P Global Marketplace presence.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Kensho competitors and assessment
Company assessmentDirect peers
- LSEG (Refinitiv): LSEG / Refinitiv is a direct peer combining proprietary financial datasets (Workspace, DataScope) with AI and NLP features for capital markets participants, competing for the same AI-for-financial-data workflows.
- Bloomberg (BloombergGPT): Bloomberg is the closest direct peer: it pairs proprietary financial datasets (terminal data, earnings transcripts, news) with proprietary AI (BloombergGPT) sold into the same financial-services buyer base. Both target the same agentic-AI-for-finance workflow that Kensho powers.
- FactSet: FactSet is a direct peer in financial data, content, and analytics with growing AI capabilities (FactSet Mercury, AI-powered workflows), serving the same buy-side and sell-side institutional customers that Kensho targets.
- AlphaSense: AlphaSense is a direct peer in AI-powered market intelligence and document search for financial-services enterprises, overlapping with Kensho's research and document-extraction use cases.
Emerging players
- Hebbia: Hebbia is an emerging AI platform for analyzing financial documents and structured data, directly overlapping Kensho's Extract / Figure Extraction and LLM-ready API workflows in the agentic-finance space.
- RavenPack: RavenPack is an emerging AI-driven alternative-data and NLP analytics provider for financial markets, comparable in its focus on applying NLP to financial text, news and transcripts.
- Cohere: Cohere is both a partner (North platform integration) and a partial competitor in enterprise LLMs, with sovereign-deployment capabilities targeted at the same regulated financial-institution buyers.
Broad incumbents
- Moody's (AI / Knowledgator): Moody's is a broad incumbent in financial data and credit analytics that is investing in generative-AI workflows over its own proprietary datasets, mirroring the S&P Global + Kensho model and competing for similar enterprise financial-services buyers.
- Databricks (Mosaic AI): Databricks is a broad incumbent AI/data platform that distributes Kensho's MCP integration and also competes for the same enterprise data-and-AI workloads through Mosaic AI and its own data agents.
- Palantir (Foundry / AIP): Palantir's Foundry and AIP platforms deliver agentic AI over enterprise financial and operational data, with deep financial-services penetration that overlaps with Kensho's enterprise buyer base.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights6 records
Customer concentration
Kensho social profiles
Digital presenceKensho financial estimates
Financial estimateRevenue estimate
Valuation estimate
Kensho leadership team
Management profileNumber of profiles
Profiles3 records
Kensho funding detail
Funding detailFunding overview
Funding rounds7 records
Investors19 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Kensho M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Kensho
What does Kensho do?
Kensho builds AI-powered data retrieval, document understanding, speech-to-text, and entity recognition products that connect S&P Global's trusted financial datasets to large language models, agents, and enterprise AI workflows. Offerings include the Kensho LLM-ready API (with MCP server support and a Grounding multi-agent framework), Kensho Scribe ASR, Kensho Extract document parsing, Kensho NERD entity recognition, Kensho Link entity resolution, and Kensho Classify text classification. Products are sold as APIs, enterprise licenses, and embedded plugins across partner AI platforms.
Is Kensho a public or private company?
Kensho is a private company. It is classified as corporate owned and is currently operating.
When was Kensho founded?
Kensho was founded in 2013. It employs 101 to 250 people.
Where is Kensho based?
Kensho is headquartered in Cambridge, United States, in the North America region.
How does Kensho make money?
Five revenue lines are on record. API subscriptions (LLM-ready API, Extract, Scribe, NERD, Adaptive Retrieval, Link) is the primary driver. The others are enterprise licensing to financial institutions, S&P Global Marketplace listing, AI-platform embedded skills/plugins and human-in-the-loop transcription services (Kensho Scribe MRHR).
Who are Kensho's main competitors?
Direct peers on record are LSEG (Refinitiv), Bloomberg (BloombergGPT), FactSet and AlphaSense. Emerging players are Hebbia, RavenPack and Cohere. Broad incumbents are Moody's (AI / Knowledgator), Databricks (Mosaic AI) and Palantir (Foundry / AIP).
Does Kensho have an API?
Yes. Kensho offers public-facing REST APIs for its Scribe, LLM-ready API, NERD, Adaptive Retrieval, and Extract products. Developers can use the APIs to transform audio into text, transform PDF documents into structured JSON files, identify and classify concepts in text, link database entities to financial databases, perform RAG-style data retrieval, run adaptive retrieval with data agents, and extract structured data from financial documents. Authentication options include personal tokens and production keypair authentication. The LLM-ready API additionally offers a Python client library, an MCP (Model Context Protocol) server, OAuth-based custom setups, and remote MCP server support. A free trial is available via https://services.kensho.com/free-trial. Developer documentation is at docs.kensho.com.
What industry is Kensho in?
Kensho's product category is Enterprise Financial Data & AI APIs. Its primary akta.pro industry code is HDAAADAB, Search, Retrieval & Semantic Ranking (BM25/vector, hybrid), with a secondary code of HDAAALAC, Annotation Tooling & Workflow Management. Its NAICS code is 5132 and its SIC code is 7371.