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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 a wide range of PII entity types, 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
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
$249/year (7-day free trial)
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
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
Customer Support
Business Hours
No
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
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
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
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
