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What is Zuva DocAI?

Effortlessly gather critical information across your organization with remarkable accuracy. Utilize context-aware machine learning models to efficiently pull relevant details from your documents. Our sophisticated classifiers allow you to distinguish among various business document types, such as employee contracts, leases, supply agreements, and more. Quickly identify the language of your documents, including English, Portuguese, German, and others. Furthermore, you can generate and retrieve OCR text and images from over 20 distinct file formats, including emails, Word documents, and PDFs. Take advantage of our extensive library containing more than 1000 pre-built clause and provision models, all designed by our expert team to streamline your initial setup. Zuva DocAI operates on Zuva's proprietary machine learning technology, which is relied upon by top law firms and organizations for its superior accuracy in recognizing, extracting, and analyzing document content. In addition, you are empowered to develop custom AI applications tailored to meet your specific needs, significantly boosting your operational efficiency. This holistic approach ensures that your data management processes are both comprehensive and adaptable.

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.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Azure AI Document Intelligence
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
OnBase
OpenText ECM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Subscription pricing based on volume.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Zuva

Company Location

Canada

Company Website

zuva.ai/docai/

Company Facts

Organization Name

BIS

Date Founded

1986

Company Location

United States

Company Website

grooper.com

Categories and Features

AI Legal

Not specified

Contract Analysis

Not specified

Data Extraction

Not specified

OCR

Not specified

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

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