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What is airis:protect?

airis:protect is a next-generation AI content moderation and fraud prevention suite designed to safeguard online platforms through intelligent, real-time analysis of visual and textual data. Leveraging proprietary neural networks developed entirely in-house, the system identifies prohibited or sensitive content—including nudity, violent imagery, hate symbols, drug use, and alcohol—across both static and streaming media. Its text moderation module scans for explicit language, contact details, or manipulation attempts, helping businesses maintain regulatory compliance and community integrity. For user verification, the platform incorporates advanced tools such as face detection, age estimation, selfie task validation, and identity card recognition, reducing fraud risks across sectors like dating apps, social platforms, and fintech. Performance-wise, airis:protect stands out with 10ms response times and the ability to process up to 100 frames per second, making it suitable for demanding environments such as live IPTV and surveillance feeds. Built and hosted in Germany, it adheres to GDPR and European data protection laws, ensuring sensitive information remains secure at all times. The system integrates easily via REST APIs, allowing developers to embed AI-powered moderation into existing ecosystems within minutes. Unlike many providers, airis:protect’s framework is entirely independent of third-party dependencies from Google, Meta, or Amazon, providing greater transparency and data sovereignty. Its CertAI certification reinforces its position as a trustworthy partner committed to fairness, reliability, and responsible AI deployment. Backed by innovation and expertise, airis:protect empowers organizations to automate compliance, defend against reputational harm, and deliver a safer digital experience for users worldwide.

What is OpenText Unstructured Data Analytics?

OpenTextâ„¢ offers Unstructured Data Analytics Products that harness the power of AI and machine learning to assist organizations in uncovering and utilizing vital insights concealed within various forms of unstructured data, including text, audio, videos, and images. By enabling organizations to connect data at scale, they can gain a clearer understanding of the context and content embedded in rapidly growing unstructured content. The platform provides unified analytics for text, speech, and video across more than 1,500 data formats, facilitating the extraction of insights from diverse media types. Utilizing technologies like OCR, natural language processing, and other advanced AI models allows organizations to monitor and interpret the essence of unstructured data effectively. Additionally, leveraging cutting-edge innovations in deep neural networks and machine learning enables a deeper comprehension of both spoken and written language found within the data, ultimately leading to the discovery of even greater insights. This comprehensive approach not only enhances data understanding but also empowers organizations to make more informed decisions based on the valuable information extracted from their unstructured data.

Media

No images available

Media

Integrations Supported

Azure Marketplace

Integrations Supported

Azure Marketplace

API Availability

Has API

API Availability

Has API

Pricing Information

€0.001 per check
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

Irisnet GmbH

Date Founded

2020

Company Location

Germany

Company Website

www.airisprotect.com

Company Facts

Organization Name

OpenText

Date Founded

1991

Company Location

Canada

Company Website

www.opentext.com/products/unstructured-data-analytics

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

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

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