Product Introduction

1. Redactifi is a browser extension that automatically redacts sensitive information from user inputs before they are sent to AI platforms, ensuring private data remains on the user’s device. It operates as a lightweight add-on for Chrome, Firefox, and Edge, requiring no changes to existing workflows while enabling secure AI interactions. The tool uses local machine learning models to detect and replace sensitive data with generic placeholders like [NAME] or [EMAIL]. All processing occurs on-device, eliminating cloud-based data transmission risks.
2. The core value of Redactifi lies in enabling unrestricted AI usage while maintaining full control over sensitive data privacy. It addresses growing concerns about AI platforms storing or misusing personal and corporate information by ensuring no identifiable data leaves the user’s browser. This solution empowers users to leverage AI productivity tools without compromising compliance with privacy regulations like GDPR or CCPA.

Main Features

1. 100% Local Processing: Redactifi performs all data analysis and redaction locally on the user’s device using optimized machine learning models, ensuring sensitive information never reaches external servers. This architecture eliminates cloud dependency and reduces attack vectors associated with data transmission. The local processing engine is lightweight, consuming minimal system resources while maintaining high-speed performance.
2. Context-Aware Redaction: The extension employs advanced pattern recognition to identify 35+ types of sensitive data, including PII, financial figures, and proprietary terms, beyond simple keyword matching. Its machine learning model analyzes semantic context to distinguish between legitimate sensitive data and false positives, such as fictional examples in writing prompts. The system continuously updates its detection logic through offline model improvements.
3. Cross-Platform Compatibility: Redactifi integrates natively with all major browsers (Chrome, Firefox, Edge) and works across leading AI platforms like ChatGPT, Gemini, and Claude without requiring API integrations. Users maintain their existing workflows while the extension operates as a background layer, activating automatically during input submission. The one-click redaction process requires no manual text manipulation or external applications.
4. Enterprise-Grade Security: For business users, Redactifi offers configurable redaction policies and audit trails through its upcoming Business Edition, supporting compliance with HIPAA, PCI-DSS, and other regulatory frameworks. The Personal Edition provides military-grade encryption for redaction logs and automatic data purging after processing. Both versions include tamper-proof confirmation systems to verify redaction completeness before data transmission.

Problems Solved

1. Data Exposure in AI Interactions: Redactifi prevents accidental disclosure of sensitive information to AI systems that might store or retrain on user inputs, addressing critical privacy gaps in generative AI workflows. It solves the problem of enterprises hesitating to adopt AI tools due to compliance risks around customer data or intellectual property. The solution also mitigates legal liabilities from unintentional PII exposure during AI-assisted tasks.
2. Target User Groups: The product serves professionals handling confidential data (HR managers, healthcare providers, legal advisors) and enterprises requiring secure AI adoption across teams. Developers working with proprietary code and customer support teams using AI for ticket resolution also benefit from automated redaction. Individual users concerned about personal data mining by AI platforms form another key demographic.
3. Typical Use Cases: Drafting employee feedback containing performance metrics, analyzing customer datasets with AI tools, and generating reports using confidential financial figures. Legal professionals redacting case details before seeking AI analysis, and healthcare providers anonymizing patient records for AI-driven diagnostics support. Developers sanitizing code snippets before submitting them for AI-assisted debugging.

Unique Advantages

1. On-Device Processing Differentiation: Unlike cloud-based redaction services that require data uploads, Redactifi’s fully local operation ensures zero data exposure to third parties, including the vendor itself. This contrasts with competitors that process data through external APIs, creating potential compliance gaps and latency issues. The local execution model also enables offline functionality unavailable in web-based alternatives.
2. Dynamic Pattern Recognition: The extension’s machine learning model detects emerging PII formats and contextual data patterns through regular offline updates, outperforming static rule-based systems. It recognizes complex data relationships like "Mark Johnson → $750,000 → Q2 2024" as a cohesive sensitive cluster rather than isolated data points. This contextual awareness prevents over-redaction while maintaining high accuracy.
3. Workflow Preservation: Redactifi’s seamless integration requires no copy-paste steps or secondary applications, maintaining native browser speeds and AI platform functionality. Users experience no perceptible delay during redaction due to hardware-accelerated processing engines optimized for modern CPUs. The solution’s compatibility across all major browsers and AI tools creates a unified privacy layer without platform-specific limitations.

Frequently Asked Questions (FAQ)

1. How does local processing ensure better privacy than cloud solutions? Redactifi’s on-device operation means sensitive data never leaves your computer during analysis, unlike cloud services that transmit information to remote servers. The local execution model complies with strict data sovereignty laws and prevents third-party access, including from Redactifi itself. All processing occurs in isolated browser storage that auto-wipes after each session.
2. Which browsers and AI platforms does Redactifi support? The extension works natively on Chrome, Firefox, and Edge browsers, with Safari support in development. It integrates with all web-based AI tools including ChatGPT, Claude, Gemini, and Microsoft Copilot, operating at the browser input level rather than through platform-specific APIs. Desktop AI applications with browser interfaces are also supported.
3. What types of information can Redactifi detect? The system identifies 35+ data categories including names, addresses, credit card numbers, medical codes, and custom patterns defined by enterprise users. Contextual analysis detects sensitive clusters like "John Doe → 01/01/1990 → 123 Main St" while ignoring non-sensitive numeric data such as "5% annual growth." Financial thresholds and proprietary terminology can be configured in the Business Edition.
4. How does the free tier differ from paid plans? The Personal Edition offers 10 free redactions monthly with basic PII detection, suitable for individual users. Paid upgrades provide unlimited redactions, custom pattern creation, and multi-browser sync. The upcoming Business Edition adds team management, compliance reporting, and SLA-backed support for enterprise deployments.
5. Can Redactifi handle non-English text redaction? Current versions focus on English-language patterns, but the machine learning model detects universal data types like numeric identifiers and email formats across languages. Contextual analysis for non-Western naming conventions and localized financial formats is under active development, with beta support available for enterprise clients.