---
title: "Privacy Policy — Zero-Retention Data Architecture | ZeeML"
description: "Read ZeeML’s zero-retention privacy policy covering in-memory client file processing, ephemeral neural computation, and minimal security logging."
canonical_url: "https://zeeml.com/privacy"
markdown_url: "https://zeeml.com/privacy.md"
archetype: "zml-view-institutional"
date_published: "2026-11-10"
date_modified: "2026-11-10"
platform: "ZeeML (zeeml.com)"
---
Breadcrumbs: [Home](https://zeeml.com/) > [Privacy Policy](https://zeeml.com/privacy)

Legal & Privacy Compliance
Last Verified: November 11, 2026

# ZeeML Privacy Policy & Zero-Retention Architecture

We designed ZeeML so that your documents, source code, and writing drafts never persist on our servers.

## 1. Zero Document & Text Retention

When you use client-side workstations such as PDF to Word, JSON to CSV, CGPA Calculator, Percentage Calculator, or Word Counter, your inputs are processed 100% locally within your web browser’s memory sandbox. No file bytes are uploaded to our servers.

When you use neural AI Studio tools, your input text is transmitted over TLS strictly for ephemeral in-RAM inference and is immediately discarded once the response stream finishes. We never use user inputs to train models.

## 2. Minimal Security & Rate-Limit Telemetry

To protect the platform against automated denial-of-service abuse, our edge kernel maintains short-lived, in-memory token buckets keyed by anonymized network address for 60 seconds before automatic eviction.

## 3. Privacy & Data Protection Contact

For any questions regarding our zero-retention architecture or privacy practices, contact us directly at contact@zeeml.com.
---
- Canonical Web App: https://zeeml.com/privacy
- LLM Context Manifest: https://zeeml.com/llms.txt
- Full Platform Knowledge Base: https://zeeml.com/llms-full.txt