📃 Paper Trip

Filter

3 min read

PaperFilter: Privacy by Design

About Paper

At Filter,
we build tools that put you in control of your data.

Our core module, Filter, powers:

  • KeyBoard
  • Chat
    Offering privacy-centric solutions for users, parents, and developers.

For Developers: Technical Focus

PaperFilter

  • What It Is: A local token analyser that flags or converts sensitive data based on user preferences.
  • How It Works:
    1. Takes token streams as input.
    2. Uses NER to detect sensitive data (e.g., names, cities, passwords).
    3. Flags or converts data based on privacy levels (Transparent, Balanced, Strict).
    4. Maintains a local dictionary for persistent anonymisation.
  • Why Use It:
    • Add privacy features to any application.
    • Fully local and open-source.

PaperKeyBoard: Privacy-Centric Keyboard

  • What It Is: An existing free, open-source keyboard integrated with the PaperFilter module.
  • How It Works:
    1. Analyses tokens locally as you type.
    2. Flags or converts sensitive data based on user preferences.
    3. Example: “My name is Prajj and city is Nashik ” → “My name is $KA5T and city is $XY59.”
  • Why Use It:
    • Enhance privacy in any open-source keyboard.
    • No data leaves the device.

PaperChat: AI Chat**

  • What It Is: An AI chat app where conversations are filtered via the PaperFilter module.
  • How It Works:
    1. Analyses user queries locally.
    2. Flags or converts sensitive data before sending to AI models.
    3. Reconstructs responses using a local dictionary.
  • Why Use It:
    • Build ethical AI chat apps.
    • Ensure user data never leaves their device without consent.

For Users: Use Cases in Focus

PaperKeyBoard: Privacy-Centric Keyboard

  • For Privacy-Centric Users:
    • Flag or anonymise sensitive data as you type.
    • Choose privacy levels: Off, Balanced, or Strict.
    • Example: “My name is Prajj and city is Nashik ” → “My name is $KA5T and city is $XY59.”
  • For Parents:
    • Enable Child Lock to prevent leaking personal information.
    • Keep kids safe online with real-time control.

PaperChat: Ethical AI Chat

  • For Privacy-Centric Users:
    • Interact with AI models without compromising your data.
    • Example: “My name is Prajj and city is Nashik ” → “My name is $KA5T and city is $XY59.”
  • For Parents:
    • Let kids use AI chat safely with filtered input.

For Investors: Revenue Model in Focus

Data Generation and Monetisation

  • PaperKeyBoard:
    • Freemium model: Free for basic features, premium for advanced privacy controls.
    • Partnerships with privacy-focused organisations.
  • PaperChat:
    • Collaborate with AI companies to share anonymised data (with user consent).
    • Revenue share from AI model improvements based on anonymised data.

Market Potential

  • Growing demand for privacy-centric tools.
  • Increasing awareness of child safety online.
  • Ethical AI partnerships as a new revenue stream.

For AI Model Companies: Collaboration Focus

Why Collaborate with PaperFilter?

  • Access to Anonymised Data:
    • Get high-quality, anonymised data for model training.
    • Users share data only with their consent.
  • Ethical Data Collection:
    • Build trust with users by ensuring their data is handled responsibly.
  • Revenue Sharing:
    • Partner with us to monetise anonymised data.

Get Started Today

Your data, your rules—no exceptions.>)

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