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What is Infinia ML?

Navigating document processing can often seem complex, yet it can be simplified. Our intelligent document processing platform is designed to discern what you are seeking, whether it be extraction or categorization. Infinia ML harnesses the power of machine learning to swiftly grasp context and the interconnections between words and data visuals. We are committed to assisting you in reaching your objectives through our advanced machine learning features. Utilizing machine learning can empower you to enhance your business decisions significantly. We customize our solutions to address your specific business challenges, revealing hidden insights and enabling precise predictions that steer you towards success. Furthermore, our intelligent document processing solutions are not mere illusions; they stem from years of expertise and cutting-edge technology, ensuring reliability and effectiveness. By integrating our solutions, you can transform how your organization handles data and insights.

What is AntWorks CMR+?

Acquire critical insights, deepen customer comprehension, reduce risks, foster innovation in products, increase productivity, and secure a competitive advantage. Unlike conventional systems, CMR+ transcends templating limitations; it proficiently interprets and organizes data sourced from various formats, whether it's handwriting, tables, signatures, or images, irrespective of their origin. By merging swift processing with accuracy, CMR+ enhances the quality of inferior documents to produce remarkable outcomes. It skillfully manages complexity through the use of Machine Learning and Deep Learning techniques, allowing it to understand contextual subtleties. CMR+ represents a noteworthy advancement in Intelligent Document Processing, thoughtfully crafted to handle nearly every document type. Additionally, it capitalizes on cutting-edge proprietary AI technologies, such as Deep Learning, Natural Language Processing (NLP), Machine Vision, and Machine Learning (ML), while also providing capabilities like sentiment analysis, named-entity recognition, and effective post-processing features. This all-encompassing suite not only enables organizations to optimize their document management workflows but also opens up new avenues for growth, ensuring they remain ahead in a rapidly evolving market. Ultimately, CMR+ is a transformative tool that empowers businesses to harness the full potential of their data.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour 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

Infinia ML

Date Founded

2017

Company Location

United States

Company Website

infiniaml.com

Company Facts

Organization Name

AntWorks

Date Founded

2015

Company Location

Singapore

Company Website

www.ant.works/cmr/

Categories and Features

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

Text Mining

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

Categories and Features

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