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What is PII Anomalyzer?
PII Anomalyzer is a dedicated desktop application crafted to detect, anonymize, and redact personally identifiable information (PII) in documents, employing a unique dual-model AI system that functions entirely offline. This software is especially advantageous for professionals in legal, healthcare, finance, and compliance fields who prioritize confidentiality and cannot afford to share sensitive information with external cloud services or public AI platforms.
Notable features include:
- Support for a wide range of PII entity types, including names, Social Security numbers, financial account numbers, medical identifiers, addresses, dates, and customizable patterns.
- Four different de-identification techniques: Redact, Replace, Highlight, and Mask.
- Proprietary dual-model AI that delivers enhanced accuracy relative to conventional single-model alternatives.
- Compatibility with various file formats such as native and scanned PDFs, DOCX, XLSX, XLS, XLSM, XLSB, and plain text files.
- Built-in optical character recognition (OCR) capabilities for the effective processing of scanned documents.
- A re-identification mode that enables users to restore contextual information from AI outputs, contractor submissions, or reviewer feedback.
- The capacity to handle multiple documents simultaneously for improved efficiency.
By operating completely offline, the software guarantees that no telemetry is sent, ensuring that all data remains securely stored on your device.
Offered at a price of $249 annually, it includes a 7-day free trial and is compatible with both Windows and macOS, making it a flexible option for organizations committed to safeguarding sensitive information. Additionally, regular updates and customer support enhance the overall user experience, further solidifying its value for those handling PII.
What is BALMAS AI?
BALMAS AI functions as a dedicated solution for anonymizing documents before they are shared with AI assistants. It supports various file formats such as PDF, Word, Excel, PowerPoint, TXT, and CSV, all accessible through a web browser, while effectively identifying sensitive information like names, identification numbers, phone numbers, corporate data, financial information, and API keys. Users can review the detected information and choose to keep, replace, or remove these details, after which they can download a cleaned version of the document in its original format. The tool offers three levels of cleansing, and the Pro version features a Round-Trip Restore function that permits users to reintegrate original data into outputs produced by AI. Furthermore, a local, read-only MCP server is available for anonymizing files, which can be accessed by compatible AI agents. BALMAS AI is designed for both individuals and organizations seeking to reduce the risk of exposing confidential data while using AI technologies, thereby promoting safer interactions with digital tools. This functionality not only fortifies security and privacy for users’ information but also positions BALMAS AI as an indispensable asset in the contemporary data-centric environment. By prioritizing data protection, it empowers users to confidently leverage AI capabilities without compromising their sensitive information.
Media
No images available
Integrations Supported
API Availability
API Availability
Has API
Pricing Information
$249/year (7-day free trial)
Free Trial Offered?
Pricing Information
₪0
The Free plan includes up to 10 documents per month. Paid Pro and Team plans provide higher limits and additional features, with annual billing available.
Free Version
Supported Platforms
Windows
Mac
Supported Platforms
SaaS
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
Training Options
Not specified
Company Facts
Organization Name
Southwest Management Technology
Date Founded
2000
Company Location
United States
Company Website
www.piianomalyzer.ai/
Company Facts
Organization Name
BALMAS AI
Company Website
balmasai.com
Categories and Features
Data De-Identification
Not specified
Categories and Features
Data Anonymization
Not specified