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What is Grooper?

Most document AI asks you to trust it. You feed it documents, it returns answers, and when a number is wrong, "the model said so" is the only explanation available. Grooper was built for organizations that can't accept that. Grooper is an intelligent document processing (IDP) platform built on one premise: you stay in control. You control the method: about 57 extraction techniques across rule-based and AI families, chosen per field, so an invoice number can use a pattern that returns the same answer every time while the messy handwriting beside it uses AI. You control the AI's input: ReadScope lets you set the scope of what the AI reads, per field. The model can't misread what it was never shown. And you control the evidence: every value keeps its receipt. Click any number to see the exact spot on the page it came from, the method that produced it, what the AI was shown, and who checked it. A number without its source is a rumor; Grooper's numbers show their work. One system covers the whole job: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source highlighted, redaction, and delivery. Extend it yourself through 61 documented extension points, and drive it with your own AI agents through MCP, the open protocol, instead of a captive vendor copilot. Deploy it your way: on your hardware, with AI models on GPUs you own so regulated content never leaves the building; in your own cloud tenant; or hosted and managed by BIS. Customers publish the results: 62% of invoices in a 2,000-a-day AP operation flow through with zero human touches, and Del Norte Credit Union eliminated 97.5% of manual data entry. Behind Grooper is BIS, an Oklahoma City company founded in 1986: self-funded, no outside investors, and sole author of every line of the code. Your documents. Your models. Your rules.

What is Cognitive Workbench?

ExB offers a Cognitive Process Automation platform powered by AI and ML that enables insurance firms to transform various forms of text into actionable insights for managing inputs and automating processes. With features such as pre-trained models for policy and claims management, as well as text mining capabilities for report analysis, insurance companies can enhance their operational efficiency. Additionally, they have the option to request the development of custom models tailored to their specific business workflows, further optimizing their processes. This flexibility ensures that the platform can adapt to the unique needs of each insurance provider, making it a valuable tool in the industry.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Box
CMIS
IBM FileNet Content Manager
Laserfiche
Microsoft 365
Microsoft Azure
Microsoft Excel
Microsoft OneDrive
Microsoft Outlook
Microsoft Power BI
Microsoft SharePoint
Microsoft Word
Nuxeo
OpenText ECM

Integrations Supported

DocuWare
Kissflow
SAP ERP
SS&C Blue Prism
Salesforce

API Availability

Has API

API Availability

Has API

Pricing Information

Subscription pricing based on volume.
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
On-Prem

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

BIS

Date Founded

1986

Company Location

United States

Company Website

grooper.com

Company Facts

Organization Name

ExB Group

Date Founded

2000

Company Location

Germany

Company Website

exb.de

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Electronic Data Capture

Data Entry
Document Imaging

Machine Learning

ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

In-Database Text Analytics
Named Entity Recognition
Parsing
Sentence Segmentation
Stemming/Lemmatization
Tokenization

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Text Mining

Document Filtering
Language Detection
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

OCR

Batch Processing
Metadata Extraction
Multi-Language
Multiple Output Formats

Text Analytics

Not specified

Text Mining

Boolean Queries
Document Filtering
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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