Name: Infinia ML
Author: Infinia ML

Help Desk

Web and Video Conferencing

Customer Support

Mind Mapping

Mobile App Development

Push Notifications

Development

Audit

Business Intelligence (BI)

Calibration Management

Collaboration

Embedded Business Intelligence (BI)

Org Chart

Procurement

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Credentialing

HR Management

Payroll

Professional Employer Organizations (PEO)

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

C/C++ Integrated Development Environments

Cloud Storage

Compliance Consulting

Cybersecurity Consulting

Data Virtualization

Dynamic Application Security Testing (DAST)

Electronic Data Interchange (EDI)

Fraud Detection

HTML Editors

IT Service Management (ITSM)

Identity Management

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Managed Print

Network Performance Monitoring

Password Management System

Relational Databases

Remote Monitoring and Management

Software Defined Networking (SDN)

Traffic Switching

Virtual Private Network (VPN)

Virtualization Management

Voice Recognition

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Consumer Ratings & Reviews

Content Management

Email Marketing

Heatmap and Session Recording

Landing Page

Marketing Automation

Marketing Resource Management

Mobile Marketing

Presentation

Social Login

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales

Antivirus

User and Entity Behavior Analytics (UEBA)

Security

Auto Repair

Equation Editors

Insurance Agency Management

Legal Research

Library Management

OSS/BSS (Operations Support/Business Support)

Real Estate Property Management

Vertical-Specific

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Infinia ML is an intelligent document processing platform developed by Infinia ML, Inc. According to the vendor, this solution utilizes machine learning to extract insights from documents, aiming to help businesses save time and money. Designed for companies of various sizes, from small businesses to large enterprises, Infinia ML automates document processing to enable quick analysis and data extraction. It is used across different professions and industries, including legal and compliance, operations and finance, customer experience, and sales and marketing.

## Key Features

**Intelligent Document Processing**: Infinia ML's platform leverages machine learning to analyze documents and extract valuable data and insights. According to the vendor, it goes beyond simple page and word analysis by understanding the relationships between content elements.

**Efficient Data Extraction**: Infinia ML uses machine learning capabilities to extract data from unstructured documents like PDFs, converting them into organized digital data. According to the vendor, the platform understands both line-by-line content and the overall context of the page.

**Seamless Integration**: Infinia ML's platform offers flexible APIs and cloud storage connectors, allowing for easy integration with existing technology stacks. According to the vendor, it supports popular cloud storage options like Azure Blob, AWS S3, and GCP Cloud Storage.

**Customizable and Accurate**: Infinia ML's platform combines software efficiency with expert customization. The vendor states that it offers a modular code configuration that can be tailored to meet unique requirements and ensure accurate data extraction.

**Accelerated Business Transformation**: Infinia ML enables businesses to leverage machine learning for intelligent document processing, aiming to drive business transformation. According to the vendor, it can be used for the analysis of patient records, financial data extraction, and classification of complex documents.

**Automation Solutions**: Infinia ML's platform provides automation solutions for document processing across various departments, from customer-facing teams to back-end operations. According to the vendor, it helps businesses improve processes and make data-driven decisions.

**Data Normalization**: Infinia ML's platform can process and normalize data across disparate documents, aiming to eliminate the challenge of dealing with multiple labels or names for the same thing. According to the vendor, it organizes documents into distinct groups, which can accelerate internal processes and workflows.

**Secure and Certified**: Infinia ML's platform is SOC2 certified, ensuring data privacy and security. According to the vendor, it seamlessly connects with data warehouses and business applications, enabling efficient data transfer and synchronization.

**Continuous Improvement**: Infinia ML's platform allows for continuous improvement of its machine learning models through human review. According to the vendor, it provides a human-in-the-loop interface for result review and feedback, enhancing performance over time.

**Summarization and Indexing**: Infinia ML's platform can generate summaries and index pages with relevant data extracted from lengthy and complex documents. According to the vendor, this feature simplifies document navigation and retrieval.

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

Qlik Sense Enterprise on Windows

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Infinia ML

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

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