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Description
PII Anomalyzer is a standalone desktop software designed to identify, anonymize, and redact personally identifiable information (PII) within documents, utilizing an exclusive dual-model AI system that operates completely offline. This application is particularly beneficial for teams in legal, healthcare, finance, and compliance sectors that require the utmost confidentiality and cannot risk sending sensitive materials to external cloud services or public AI platforms.
Key features include:
- Support for over 55 types of PII entities, such as names, Social Security numbers, financial account details, medical identifiers, addresses, dates, and customizable patterns.
- Four distinct methods for de-identification: Redact, Replace, Highlight, and Mask.
- Advanced proprietary dual-model AI that offers superior accuracy compared to traditional single-model solutions.
- Compatibility with various formats including native and scanned PDFs, DOCX, XLSX, XLS, XLSM, XLSB, and plain text files.
- Integrated optical character recognition (OCR) capabilities for processing scanned documents.
- A re-identification mode that allows users to restore contextual information from AI outputs, contractor submissions, or reviewer comments.
- The ability to process multiple documents at once for efficiency.
Operating entirely offline ensures that there is no telemetry and that all data remains securely on your device.
The software is available for $249 per year, complete with a 7-day free trial, and is compatible with both Windows and macOS systems, making it a versatile choice for organizations seeking to protect sensitive information.
Description
Shaip is a comprehensive AI data platform delivering precise and ethical data collection, annotation, and de-identification services across text, audio, image, and video formats. Operating globally, Shaip collects data from more than 60 countries and offers an extensive catalog of off-the-shelf datasets for AI training, including 250,000 hours of physician audio and 30 million electronic health records. Their expert annotation teams apply industry-specific knowledge to provide accurate labeling for tasks such as image segmentation, object detection, and content moderation. The company supports multilingual conversational AI with over 70,000 hours of speech data in more than 60 languages and dialects. Shaip’s generative AI services use human-in-the-loop approaches to fine-tune models, optimizing for contextual accuracy and output quality. Data privacy and compliance are central, with HIPAA, GDPR, ISO, and SOC certifications guiding their de-identification processes. Shaip also provides a powerful platform for automated data validation and quality control. Their solutions empower businesses in healthcare, eCommerce, and beyond to accelerate AI development securely and efficiently.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$249/year (7-day free trial)
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Southwest Management Technology
Founded
2000
Country
United States
Website
www.piianomalyzer.ai/
Vendor Details
Company Name
Shaip
Country
United States
Website
www.shaip.com
Product Features
Product Features
Data Labeling
Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Alternatives
No Alternatives
