What is ProntoNLP and how does it work?

ProntoNLP is a finance-optimized GenAI tool that uses fine-tuned Large Language Models (LLMs) to extract systematic signals from unstructured financial text. It analyzes earnings call transcripts, SEC filings, expert network calls, and news to identify material events, sentiment, and themes across 110+ categories. Unlike general AI tools like ChatGPT, ProntoNLP is specifically trained on financial content to deliver accurate, context-aware insights that investment teams can integrate directly into quantitative models, research workflows, and GenAI applications.

How is ProntoNLP different from other NLP or LLM tools for finance?

ProntoNLP uses fine-tuned LLMs trained on over 500,000 earnings calls and 15+ years of financial documents. It understands financial context — for example, recognizing that "labor costs increasing" is a form of inflation with negative implications for most companies. Other tools struggle with this level of contextual understanding and often miss related phrases or misinterpret sentiment. ProntoNLP delivers pre-processed, structured signals that save time and token costs compared to uploading raw transcripts into general-purpose LLMs.

What products are available under ProntoNLP?

ProntoNLP offers multiple products: ProntoNLP Transcript Analytics (earnings call signal extraction) ProntoNLP Filings Analytics (10-K/10-Q analysis) ProntoNLP Expert Network Analytics (multi-company attribution from expert calls) ProntoNLP Macro LLM (macroeconomic theme tracking) MCP Connector (integration with Claude and other AI platforms) Script Insight (pre-delivery analysis of earnings scripts for investor relations teams).

Can ProntoNLP integrate with AI platforms like Claude?

Yes. The ProntoNLP MCP Connector is a plugin that integrates directly into MCP-enabled AI platforms like Claude. Instead of uploading hundreds of earnings transcripts and consuming massive token budgets, users can query pre-analyzed financial signals in natural language and receive structured answers instantly. For example, asking "Which tech companies mentioned supply chain issues in Q4?" returns ranked results with sentiment scores and verbatim evidence — using a fraction of the tokens required by traditional LLM approaches.

Who uses ProntoNLP and what problems does it solve?

ProntoNLP is used by quantitative analysts, fundamental analysts, data scientists, and investor relations teams. Quants use it to generate uncorrelated alpha by integrating textual signals into systematic strategies. Fundamental analysts use it to track trends and inflection points across thousands of documents without manual reading. Data scientists deploy finance-optimized LLMs without building or training models in-house. IR teams use Script Insight to analyze earnings scripts before delivery, scoring sentiment, complexity, and transparency to align messaging with investor expectations.

How is ProntoNLP delivered and accessed?

ProntoNLP is available through multiple delivery channels: Cloud platforms including Snowflake Xpressfeed MCP Connector for AI platforms like Claude S&P Capital IQ Pro through the Document Intelligence tool API for direct integration into applications and models Web Platform for intuitive, no-code analysis

How is ProntoNLP delivered and accessed?

ProntoNLP is available through multiple delivery channels: Cloud platforms including Snowflake Xpressfeed MCP Connector for AI platforms like Claude S&P Capital IQ Pro through the Document Intelligence tool API for direct integration into applications and models Web Platform for intuitive, no-code analysis

Is ProntoNLP part of the S&P Global AI Data Portal?

Yes, ProntoNLP can be accessed via Adaptive Retrieval allowing you to query ProntoNLP directly in your LLMs and other AI Workflows.

How often is ProntoNLP data updated?

Data is updated intraday and delivered in clean, structured formats that eliminate the need to build custom NLP pipelines in-house.

ProntoNLP

On this page

Overview
Access in LLMs
Delivery Channels
Who's it for?
Offerings
Case Study
Featured Content
Request Follow Up

Finance-trained AI. Investment-ready Intelligence.

ProntoNLP uses a fine-tuned LLM engine, purpose-built for finance and trained on S&P Global content to extract systematic signals from earnings calls, filings, and other textual documents.

Unlike general AI tools, ProntoNLP is specifically designed for market analysis and financial insights, delivering more accurate, relevant information tailored to investment workflows.

What you get:

Granular insights at the event and sentiment level across companies and sectors
Systematic signals on financial performance, competitive dynamics, and strategic inflection points
Easy access to financial text and structured insights through APIs, data feeds, and the MCP connector for use in models, research workflows, and GenAI applications

View Brochure

Built for GenAI Applications

The ProntoNLP MCP Connector integrates directly with MCP-enabled AI platforms such as Claude, ChatGPT and other LLMs, providing access to both source text and finance-specific insights within conversational workflows.

Instead of loading hundreds of earnings call transcripts into an LLM—consuming significant token budgets and requiring the model to identify what matters—ProntoNLP provides structured financial intelligence derived from finance-trained AI models. This helps ground responses in high-quality data, surface relevant insights faster, and support more confident decision-making.

Traditional approach: Upload 50+ transcripts, consume large numbers of tokens, wait for the LLM to review and interpret the content, and hope it identifies the most important signals.

ProntoNLP approach: Query a dataset where the text has already been analyzed and organized into structured financial signals and insights. Get targeted answers in seconds using a fraction of the tokens.

Request a Demo

View Videos

Delivery Channels

API

Integrate ProntoNLP directly into your applications, models, and internal workflows.

Cloud

Access and work with ProntoNLP in cloud environments, including Snowflake, for scalable analysis alongside your broader data ecosystem.

Snowflake

MCP Connector

Connect ProntoNLP to MCP-enabled LLM applications and workflows.

S&P Capital IQ Pro

Use ProntoNLP capabilities within Cap IQ Pro through Document Intelligence to support research and analysis workflows.

S&P Capital IQ Pro

Web Platform

Access ProntoNLP through a dedicated web interface for fast, intuitive analysis of financial text.

Xpressfeed™

Deliver ProntoNLP through S&P Global’s enterprise data feed platform for integration into existing data pipelines and downstream workflows.

Xpressfeed™

Who's it for?

Process

Process at Scale

Analyze thousands of earnings transcripts, corporate filings, expert network calls, central bank documents and news articles simultaneously.

Extract What Matters

Fine-tuned LLMs identify material events and remove conversational noise — focusing only on information that impacts strategy and performance.

Organize into Insights

Text is clustered into actionable topics: revenue trends, margin pressure, competitive threats, supply chain issues, new product launches, customer behavior shifts.

Deliver Structured Data

Clean, structured, quantifiable outputs updated intraday and delivered via API, cloud, or MCP connector — eliminating the need to build pipelines and analytics in-house.

Offerings

ProntoNLP Filings Analytics

Analyze 10-Ks, 10-Qs, and other SEC filings for material changes in risk factors, business strategy, competitive positioning, and financial guidance. Spot what changed quarter-over-quarter and year-over-year without reading hundreds of pages of dense regulatory text.

Learn More
ProntoNLP Transcript Analytics

Extract systematic signals from earnings call transcripts across global markets. Track sentiment shifts, identify strategic inflection points, and monitor management tone and forward guidance. Structured data updated intraday so you can act on insights as they emerge.

Learn More
ProntoNLP Macro Analytics

Get ahead with data from major central banks, including the Federal Reserve Board (FRB), European Central Bank (ECB), and Bank of England (BOE).

Our Macro Analyst LLM model allows you to quickly search through large volumes of text, highlighting important topics, identifying trends and patterns. This allows you to make more informed investment decisions by focusing on macro factors and improving accuracy.

Learn More
ProntoNLP News Analytics

Extract actionable insights from global news to identify sentiment trends, key events, emerging risks, and market-moving developments across companies, industries, and themes.
ProntoNLP MCP Connector

Bring ProntoNLP data directly into your AI workflow. Ask questions in natural language, generate investment-ready summaries, and access structured sentiment and event signals through any MCP-enabled platform.
Script Insight

Analyze earnings call scripts before you deliver them. Script Insight scores your language for sentiment, complexity, and numeric transparency, helping investor relations teams refine messaging, simplify communication, and align with investor expectations before going live.

Learn More

Extract systematic signals from earnings call transcripts across global markets. Track sentiment shifts, identify strategic inflection points, and monitor management tone and forward guidance. Structured data updated intraday so you can act on insights as they emerge.

Learn More

Case Study

An Investment Firm Uses GenAI to Find Market-Moving Insights in Earnings Calls

About

A buy-side firm sought to enhance its equity research with advanced AI tools to extract deeper insights from earnings calls and filings.

Read full case study here
Challenge

Traditional models and manual reviews were too slow and limited to keep pace with growing volumes of unstructured financial data. The firm needed a faster, more accurate way to detect signals and strategy shifts.

Read full case study here
Solution

The firm adopted ProntoNLP from S&P Global Market Intelligence, a GenAI-powered platform optimized for finance. It delivers structured sentiment, event detection, and thematic insights from transcripts and filings through user-friendly interfaces and data feeds.

Read full case study here
Outcome

With ProntoNLP, the analysts gained access to hourly updates across 110 key topics, streamlined workflows, and more precise signals. This strengthened their research process and gave them a competitive edge in equity investing.

Read full case study here

Videos

ProntoNLP: Structuring Unstructured Data

Textual Data: Structuring the Unstructured

Create a Sector Report in Claude

Analyze Earnings Call Sentiment in Claude

Conduct Topic Trend Analysis in Claude

ProntoNLP FAQs

Request Follow Up

Learn more about ProntoNLP.

Section
Section
Section
Section
Comments
Section

Business Email*

First Name*

Last Name*

Company Name*

Phone Number*

City*

What type of business challenges can we help you solve? (Optional)

Yes, I would like to receive promotional emails containing essential industry insights, event invitations, and relevant solutions from S&P Global Market Intelligence.

Clicking 'Submit' means you agree to the Terms and have read and understand the Privacy Policy and acknowledge we use pixels and similar tracking technologies in our emails to confirm message delivery and to review your engagement with our communications (such as whether an email was opened); you may withdraw that consent at any time by updating your preferences.

Finance-trained AI. Investment-ready Intelligence.

Built for GenAI Applications

Delivery Channels

API

Cloud

MCP Connector

S&P Capital IQ Pro

Web Platform

Xpressfeed™

Who's it for?

Quants Build systematic strategies on textual signals. ProntoNLP delivers structured data feeds with event extractions, sentiment scores, and thematic clusters you can integrate directly into quantitative models.

Fundamental Analysts Uncover trends, test ideas, and track sentiment across thousands of transcripts and filings without reading through lengthy document. Identify corporate inflection points on strategy, competitive positioning, and financial performance faster.

Data Scientists Access highly precise, categorized feature extractions that enable you to reliably quantify qualitative information. Deploy through APIs, cloud platforms, or MCP connectors — no model training or manual feature engineering required.

Investor Relations Test your earnings script before you deliver it. Script Insight scores your language for sentiment, clarity, and transparency so you can refine your message and align with investor expectations.

Investment Banking Extract strategic, competitive, and management insights from earnings calls, filings, and other financial text to support origination, due diligence, and advisory workflows.

Private Equity Extract investment signals from earnings calls, filings, expert network calls, and news to support deal sourcing, due diligence, and portfolio monitoring.

Insurance Monitor emerging risks, regulatory developments, and company performance through systematic analysis of financial and industry text.

Corporate Strategy Track competitor actions, pricing trends, product launches, customer demand, and market shifts by analyzing earnings calls, filings, and news at scale.

Process

Process at Scale

Extract What Matters

Organize into Insights

Deliver Structured Data

Offerings

Case Study

An Investment Firm Uses GenAI to Find Market-Moving Insights in Earnings Calls

Videos

Capital IQ Reinvented

Featured Content

ProntoNLP FAQs

Is ProntoNLP part of the S&P Global AI Data Portal? Yes, ProntoNLP can be accessed via Adaptive Retrieval allowing you to query ProntoNLP directly in your LLMs and other AI Workflows.

How often is ProntoNLP data updated? Data is updated intraday and delivered in clean, structured formats that eliminate the need to build custom NLP pipelines in-house.

Request Follow Up