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Description
Amazon Augmented AI (Amazon A2I) simplifies the creation of workflows necessary for the human evaluation of machine learning predictions. By providing an accessible platform for all developers, Amazon A2I alleviates the burdensome tasks associated with establishing human review systems and overseeing numerous human reviewers. In various machine learning applications, it is often essential for humans to assess predictions with low confidence to confirm their accuracy. For instance, when extracting data from scanned mortgage applications, human intervention may be needed in instances of subpar scans or illegible handwriting. However, developing effective human review systems can be both time-consuming and costly, as it requires the establishment of intricate processes or workflows, the development of bespoke software for managing review tasks and outcomes, and frequently, coordination of large teams of reviewers. This complexity can deter organizations from implementing necessary review mechanisms, but A2I aims to streamline the process and make it more feasible.
Description
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 you get. Grooper was built for the organizations that can't accept that.
Grooper is an intelligent document processing platform with a simple premise: you stay in control. Of the method: roughly 57 extraction techniques across rule-based and AI families, chosen per field, so the invoice number can use a pattern that returns the same answer every time while the handwritten note beside it uses AI. Of the AI's input: ReadScope lets you set exactly what the model reads for each field, the whole page, one region, or only values already extracted. The model can't misread what it was never shown. And of the evidence: every value keeps its receipt. Click any number and see the exact spot on the exact page it came from, which method produced it, what the AI was given to read, and who checked it. A number without its source is a rumor; Grooper's numbers show their work.
It is one system, sole-authored in one codebase: scanning, OCR across 6 engines, document separation, classification, extraction, validation against your systems of record, human review with the source region highlighted, redaction, and delivery. When you need something Grooper doesn't do natively, you configure it, express it, or code it through 61 documented extension points, without leaving the product. And the whole platform is agent-operable through MCP, the open protocol, so your own AI agents (not a captive vendor copilot) can build and operate Grooper.
Run it your way: on your hardware, including AI models on GPUs you own, so regulated content never leaves the building; in your own cloud tenant under your governance; or hosted and managed by BIS. The c
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS AI Services
Yes
AWS Secrets Manager
Yes
Amazon Fresh
Yes
Amazon Rekognition
Yes
Amazon SageMaker
Yes
Amazon Textract
Yes
Amazon Transcribe
Yes
Azure AI Document Intelligence
No
CMIS
No
Codeless Platforms BPA Platform
Yes
Integrations
AWS AI Services
No
AWS Secrets Manager
No
Amazon Fresh
No
Amazon Rekognition
No
Amazon SageMaker
No
Amazon Textract
No
Amazon Transcribe
No
Azure AI Document Intelligence
Yes
CMIS
Yes
Codeless Platforms BPA Platform
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Subscription pricing based on volume.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/augmented-ai/
Vendor Details
Company Name
BIS
Founded
1986
Country
United States
Website
grooper.com
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Artificial Intelligence
Chatbot
Yes
For Healthcare
Yes
For Sales
No
For eCommerce
No
Image Recognition
Yes
Machine Learning
Yes
Multi-Language
Yes
Natural Language Processing
Yes
Predictive Analytics
No
Process/Workflow Automation
Yes
Rules-Based Automation
Yes
Virtual Personal Assistant (VPA)
No
Data Extraction
Disparate Data Collection
Yes
Document Extraction
Yes
Email Address Extraction
Yes
IP Address Extraction
Yes
Image Extraction
Yes
Phone Number Extraction
Yes
Pricing Extraction
Yes
Web Data Extraction
Yes
Electronic Data Capture
Audit Trail
No
CRF Tracking
No
Data Entry
Yes
Data Verification
No
Distributed Capture
No
Document Imaging
Yes
Document Indexing
No
Forms Management
No
Remote Capture
No
Study Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
No
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
Yes
Part-of-Speech Tagging
No
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
Yes
OCR
Batch Processing
Yes
Convert to PDF
Yes
ID Scanning
Yes
Image Pre-processing
Yes
Indexing
Yes
Metadata Extraction
Yes
Multi-Language
Yes
Multiple Output Formats
Yes
Text Editor
Yes
Zone Selection Tool
Yes
Text Mining
Boolean Queries
No
Document Filtering
Yes
Graphical Data Presentation
No
Language Detection
Yes
Predictive Modeling
No
Sentiment Analysis
Yes
Summarization
Yes
Tagging
Yes
Taxonomy Classification
Yes
Text Analysis
Yes
Topic Clustering
No
