Foundation Extract
Foundation Extract – Language
Extract Document filer

Comprehend text and natural language to automate data capture, analysis, and entry.

automate data capture, analysis, and entry
Extract Vision


Extract Language

Automates document classification, content extraction, text analysis and data entry into downstream software, storage, and RPA systems.
Models can be called individually, or assembled and orchestrated with Extract Vision and Learning models to configure customized solutions to your business challenges.
  • Natural Language Processing - AI

    Natural Language Processing (NLP)

  • Natural Language Generation - AI

    Natural Language Generation (NLG)

  • Document Classification - AI

    Document Classification

  • Text Extraction - AI

    Text Extraction

  • Speech-to-Text - AI


  • Text Analysis - AI

    Text Analysis

  • Topic Modeling - AI

    Topic Modeling

  • Sentiment Analysis - AI

    Sentiment Analysis

video search nodes

Extract Language in Action

Enable your software to read, your people to focus on higher value work, and your enterprise to save time and money.

Intelligent Document Processing

Intelligent Document Processing

Identify and extract content from virtually any type of document.

Unlike most OCR systems that require new templates for each change in form, Extract leverages pattern recognition to categorize documents based on their contents rather than their format, and AI to extract out business critical information.

It can process hundreds of documents out of the box—including common insurance documents like ACORD forms, IRS 1040s and W-2, and many types of unstructured medical reports and legal pleadings—and be quickly configured to learn new document types. Extracted information and insights can be routed to RPA bots, entered directly into enterprise systems, and analyzed and operationalized by Extract Learning models.

Leverage extracted data to derive actionable business insights.

Extract’s text analysis models can distill meaningful insights from mountains of unstructured customer data. Foundation AI can apply text analysis models to any large body of textual information, including emails, call center logs, customer reviews and social media streams.

For a large multinational appliance maker, Extract captures customer and competitor product reviews and social media mentions and applies topic and sentiment analysis models to understand customer preferences. These actionable recommendations have direct impact on product development and marketing decisions.

Customer Insight Mining

Customer Insight Mining

Automatic Email Routing

Automatic Email Routing

Get the Right Information to the Right Place, Right Away.

Extract leverages machine learning and pattern recognition to classify emails and correspondence, and text analysis and extraction to capture key information. Foundation AI can integrate Extract to enter data directly into most systems of record, and route the correspondence to the appropriate team members.

Extract has helped forward thinking enterprises re-imagine their email-driven processes, enabling reductions in response time, increased NPS, and a sustainable competitive advantage over their competitors.

Confidently search, tag, and review massive documents.

Extract includes purpose-built UI for reviewing, tagging, and annotating large PDF documents. Legal practitioners leverage this software to review massive troves of unstructured documents to identify specific words, contents, and topics germane to litigation.

Unlike most E-discovery solutions, Extract assigns confidence scores to each page and each word it processes, alerting reviewers of any low-quality sections that they should manually review, ensuring that nothing gets missed.

Document Review

Document Review

Healthcare NLP

Extract Structured Data

Extract Structured Data from Healthcare Records

The Foundation AI Team are pioneers in healthcare data extraction and natural language processing. The team has published several papers on deep learning methods for automatic coding of clinical freetext, and put these models in production with healthcare providers around the globe.

Their prior company built Querent which extracted over 300 billion data elements from over 36 million patients’ charts and leveraged this data to power hundreds of healthcare predictive models.

Extract documents
Extract Filer
Extract Filer automatically sort label file documents

Automate your document processing

Extract Filer helps enterprises automatically sort, label and file documents into their downstream systems.

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document processing
Extract Features

Extract Features

Modular and Configurable

Modular and Configurable

Vision, Language, and Learning models can be assembled together for intelligent process automation and insight extraction.

Rapid Implementation

Rapid Implementation

Cloud-based or containerized on-prem, and easily integrated via suite of APIs and configurable input and downstream connectors.

Self Learning

Self Learning

Pre-trained to deliver immediate value and continues to learn and improve through feedback

Augmented Intelligence

Augmented Intelligence

Intuitive user interface built to optimize the relative strengths of humans and machines.

Best in Class Data Security

Best in Class Data Security

ISO 27001 certified and customer data encrypted and isolated in SOC2 Secure SaaS cloud environment

Extract in the Real World

Stockwell - Extract
Floyd casestudy AI
AI Document intake operations

Extract Filer Automates Legal Document Intake

Artificial Intelligence Drives Profitability and Growth for California-Based Workers’ Compensation Defense Firm

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OCME casestudy
Extract Language - AI

AI-Powered Structured Data Extraction

Foundation AI helps the New York City Office of Chief Medical Examiner extract “meaningful insights” from its massive cache of data

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Sentiment Analysis & Topic Modeling

Foundation AI helps a large appliance manufacturer analyze customer reviews to identify product issues and sought-after features

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Analysis & Topic Modeling
Extract - Stockwell
Document intake operations
extract language icon

Automation for Workers Compensation

Extract Filer saves a California law firm over $400,000 annually by streamlining its document intake

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What our clients are saying

Extract - NLP

Foundation AI has been a trusted partner for our data extraction and intelligent document processing needs at the OCME. As the nation's largest medical examiner, we process millions of documents each year, from police reports to autopsies.

Foundation AI's software helps us to be more efficient and its tools help us to derive the full benefit of our massive store of data, and uncover meaningful insights that will benefit the health and safety of the citizens of New York.

Naeem Ullah,

Chief Information Officer - New York Office of the Chief Medical Examiner

OCR - ocme

We receive thousands of pages of mail each day and have always had backlogs getting it scanned into attorneys' files.

Within two weeks of using Foundation Extract, we were getting the mail processed within a day, while saving about $8,000 a week in staffing costs.

George Woolverton,

Managing Partner - Stockwell, Harris, Woolverton & Helphrey

Extract Documents - stockwell

Foundation AI's content extraction technology is really the best that we've seen. Their hyper responsive team gets you up and running in no time.

Derrick Chow,

COO - Medchart

Extract AI - Medchart

Foundation AI's software has been a game changer, especially during COVID, to streamline our correspondence processing.

Michael Brand,

Managing Partner - Acumen LLP

Extract AI - acumen

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Artificial Intelligence for the Real World
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