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Kensho

Full company profile

uuid0000hxl

Namestring
Kensho
Legal namestring
Kensho Technologies, LLC
Websiteurl
kensho.com
Company typeenum
Private
Founded yearint
2013
Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersCambridge, United States
HQ citystring
Cambridge
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
enterprise data retrieval, financial data APIs, AI transcription services, document extraction AI, entity recognition NLP
Industry5 codes
1Search, Retrieval & Semantic Ranking (BM25/vector, hybrid)
CodeHDAAADABPrimaryYes
2Annotation Tooling & Workflow Management
CodeHDAAALACPrimaryNo
3NLP Developer Tools & Evaluation (prompting, testing, benchmarks)
CodeHDAAADAKPrimaryNo
4OCR, ICR & Intelligent Document Processing (IDP)
CodeBPAAAKABPrimaryNo
5Image Classification & Tagging
CodeHDAAAEAAPrimaryNo
NAICS code2 codes
  • Software Publishers5132
  • Custom Computer Programming Services541511
SIC code2 codes
  • Services-Computer Programming Services7371
  • Services-Computer Integrated Systems Design7373
Product category
Enterprise Financial Data & AI APIs
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model5 records
1API subscriptions (LLM-ready API, Extract, Scribe, NERD, Adaptive Retrieval, Link)
TypeSubscription Recurring
Description

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.

docs.kensho.com
2Enterprise licensing to financial institutions
TypeSubscription Recurring
Description

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%).

kensho.com
3S&P Global Marketplace listing
TypeMarketplace Commission
Description

Distribution of Kensho solutions (Link, Scribe, Extract, etc.) through the S&P Global Marketplace storefront, enabling curated third-party discovery and dataset/solution bundling.

kensho.com
4AI-platform embedded skills/plugins
TypeLicensing Royalties
Description

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.

blog.kensho.com
5Human-in-the-loop transcription services (Kensho Scribe MRHR)
TypeProfessional Services
Description

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.

kensho.com
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels7 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Pricing details1 tier
1Free trial available; paid tiers via keypair/production authentication (quote-based)
ModelOtherBilling cadenceAnnual
Notes

Free trial entry points (e.g., services.kensho.com/free-trial/scribe); production access via keypair auth suggests enterprise/quote-based paid plans. No public price list disclosed.

docs.kensho.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 7 records shown
1Kensho LLM-ready API
Description

API offering enabling customers to query S&P Global's financial datasets using natural language via large language models.

kensho.com
+6 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • Reduced Tegus's administrative workload by 70% via Kensho AI for transcription/compliance
+3 more records
Product overview1 text field

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.

Product and service11 records
1Kensho LLM-ready API
CategoryAPI product (data retrieval for LLMs)
Description

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.

2Kensho Scribe
CategoryCore AI product (speech-to-text / ASR)
Description

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.

3Kensho Extract
CategoryCore AI product (document extraction)
Description

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.

4Kensho NERD
CategoryCore AI product (NLP)
Description

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.

5Kensho Link
CategoryCore AI product (entity linking)
Description

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.

6Kensho Classify
CategoryCore AI product (text classification)
Description

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.

7Kensho Grounding
CategoryAI framework (multi-agent orchestration)
Description

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.

8Kensho Adaptive Retrieval
CategoryAPI product (data retrieval)
Description

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.

9Kensho MCP Apps
CategoryAdd-on product (AI chat apps)
Description

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.

10Kenverters
CategoryOpen-source developer toolkit
Description

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.

11S&P Global Plugin for Anthropic Claude Cowork
CategoryIntegration plugin (Anthropic Claude Cowork)
Description

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.

Scale indicator10 records

Each record includes

Type, Value, Description, Source

Partnership10 partners
Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2026-06-08
Description

S&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.

Strategic tierFlagshipTypeTechnology or IntegrationAnnounced on2026-03-05
Description

S&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.

Strategic tierFlagshipTypeStrategic or Co-development PartnerAnnounced on2025-10-20
Description

Inception 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.

Strategic tierFlagshipTypeTechnology or IntegrationAnnounced on2025-07-15
Description

S&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.

Strategic tierCoreTypeTechnology or Integration
Description

Google 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.

Strategic tierCoreTypeTechnology or Integration
Description

AWS 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.

Strategic tierCoreTypeTechnology or Integration
Description

Snowflake 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.

Strategic tierCoreTypeTechnology or Integration
Description

LangChain 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.

Strategic tierCoreTypeTechnology or Integration
Description

Microsoft 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.

Strategic tierCoreTypeTechnology or Integration
Description

Databricks 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.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration9 records

Each record includes

Title, Type, Description, Source

AI capability6 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature11 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds7 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors19 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Kensho

Enterprise Financial Data & AI APIskensho.com

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

  • Enterprise data retrieval
  • Financial data APIs
  • AI transcription services
  • Document extraction AI
  • Entity recognition NLP

Where Kensho is headquartered

Location

Headquarters

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

  1. 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.
  2. 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%).
  3. 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.
  4. 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.
  5. 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

ModelBillingPrice
OtherAnnualFree 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 offering

Core 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 profile

Named customers1 record

Segments5 records

Ideal customer profiles5 records

Kensho technology and API

Technology

Technology 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 signal

Partnerships

Ten partnerships are on record, tiered flagship and core.

  • Cohere (North platform)flagshipStrategic or Co-development Partner · 8 June 2026S&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)flagshipTechnology or Integration · 5 March 2026S&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.
  • InceptionflagshipStrategic or Co-development Partner · 20 October 2025Inception 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)flagshipTechnology or Integration · 15 July 2025S&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 CloudcoreTechnology or IntegrationGoogle 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)coreTechnology or IntegrationAWS 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.
  • SnowflakecoreTechnology or IntegrationSnowflake 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.
  • LangChaincoreTechnology or IntegrationLangChain 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)coreTechnology or IntegrationMicrosoft 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.
  • DatabrickscoreTechnology or IntegrationDatabricks 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 assessment

Direct 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 presence

Kensho financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Kensho leadership team

Management profile

Number of profiles

Profiles3 records

Kensho funding detail

Funding detail

Funding 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 investment

M&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.

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LinkedInHarrison Chase - LangChainThe article consists of a professional recommendation letter from Sam Shleifer regarding Harrison Chase, highlighting his technical expertise and work ethic at Kensho. It details specific achievements such as optimizing multiprocessing memory overhead and accelerating model deployment processes. The text serves as a character reference rather than reporting on a current business event or transaction.AInvestS&P Global's New AI Data Tool Could Deepen a Premium Business-If Adoption HoldsS&P Global launched Adaptive Retrieval alongside its existing Deterministic Retrieval through the S&P Global AI Data Portal, integrating trusted financial datasets into AI workflows via AWS MCP server connections and Kensho-powered APIs. MCP connection API call volumes surged 500% quarter over quarter, with AI customer growth outpacing non-AI customers and net renewal rates for AI users increasing by 100 basis points, suggesting deeper adoption into enterprise workflows. The company is restructuring its Enterprise Data Organization under the Chief Technology & Transformation Office to accelerate AI integration, though commercial monetization remains to be demonstrated in upcoming earnings.Hebbia10 Best AI Tools for Financial Analysis [2026]This article is a curated resource/guide listing and reviewing ten AI platforms designed for financial analysis use cases, including Hebbia, Kensho, OpenAI (ChatGPT), Anthropic (Claude), Bloomberg, Anaplan, StackAI, FactSet, and Koyfin, with each tool evaluated on features, target users, and key capabilities such as document synthesis, data visualization, forecasting, and workflow automation. The guide is published by Hebbia and positions itself as a resource for investors, investment bankers, and corporate finance teams seeking to adopt AI tools for tasks such as due diligence, market research, portfolio management, and financial planning. The article includes a decision framework to help professionals evaluate AI tools based on data compatibility, output reliability, system integration, security certifications, scalability, and return on investment.Stock TitanS&P Global debuts AI Credit Memo Builder platformS&P Global announced the launch of Credit Memo Builder, an agentic AI-powered platform designed to streamline credit analysis by aggregating data from across its enterprise and automating the credit memo drafting process. The platform integrates data from S&P RatingsDirect, RiskGauge, and S&P Capital IQ Pro, using Kensho's adaptive data retrieval capabilities to help loan committees, underwriters, and credit analysts reduce manual data processing time. Credit Memo Builder is part of S&P Global Market Intelligence's broader suite of agentic AI offerings and maintains human oversight through an "analyst-in-the-loop" design with in-line citations for auditability.InternetretailingRetail MediaX Awards 2026 winners announced at landmark London ceremonyThe 2026 Retail MediaX Awards winners were announced on 15 May at a London ceremony, recognizing organizations and individuals driving retail media across Europe. Winners include CVS Media Exchange for Retail Media Network of the Year and John Lewis x Shark Beauty for Full Funnel Campaign of the Year. The awards highlight the sector's maturing sophistication and growing importance in commerce strategies.deutsche-startups.de12 aufstrebende Startups, die einen Blick wert sindTwelve startups—VisioLab, Pixel Photonics, QuoIntelligence, TerraSpark, Blocks, Cirql One, &Charge, Conxai, Kemaro, Primogene, Nature Robots, and XO Life—raised funding rounds totaling over $50 million. The rounds include investments from investors like eCAPITAL, HTGF, and Porsche Ventures.MEXC ExchangeS & P Global's Kensho Deploys LangGraph Multi-Agent AI for Financial Data AccessS&P Global's AI division Kensho has deployed a multi-agent framework called Grounding, built on LangChain's LangGraph library, to consolidate the company's fragmented financial datasets into a single natural language interface with verified citations. The system routes queries across specialized data retrieval agents covering equity research, fixed income, macroeconomics, and ESG metrics, addressing a common pain point for financial professionals who previously had to navigate multiple databases and specialized query languages. The deployment signals growing enterprise confidence in agentic AI architectures for mission-critical workflows in financial services, with the citation-backed approach directly addressing industry concerns about generative AI hallucination risks.Built InKensho Engineering Team Culture: How Engineers Enable Secure, Natural-Language Access to S&P Global DataKensho developed an API enabling customers to query S&P Global financial data using natural language with large language models such as Claude, ChatGPT, and Gemini. The company's engineers cooperate across teams and with partners like Anthropic to enhance data coverage, scalability, and AI tool trustworthiness for financial workflows.Built In BostonTop Boston, MA Natural Language Processing Companies 2025The article presents a curated list of natural language processing companies operating in the Boston, Massachusetts area for 2025. It profiles various firms such as Kensho Technologies, MORSE Corp, and AlphaSense, highlighting their specific AI applications in sectors like fintech, healthcare, and cybersecurity. The content serves as a directory of technology providers rather than reporting on a specific corporate event or transaction.Built InTop Natural Language Processing Companies 2025The article presents a list of top Natural Language Processing companies for 2025, featuring profiles of organizations such as Iodine Software, Kensho Technologies, Kustomer, and Pfizer. It highlights their specific applications in sectors including healthcare, fintech, defense, and productivity software. The content serves as a directory of industry players utilizing AI and machine learning technologies.