> For the complete documentation index, see [llms.txt](https://docs.zdrive.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zdrive.io/readme.md).

# Overview

ZDrive is a private AI inference platform where your data never leaves your device. You encrypt locally, send only ciphertext to the network, and rely on hardware-enforced isolation — Intel TDX Trusted Execution Environments — to ensure even the operator cannot read your inputs or outputs.

The platform combines three core guarantees:

* **Client-side encryption** — your encryption key is derived from your wallet signature and never leaves your browser
* **On-chain attestation** — you can cryptographically verify the TEE and model running your inference
* **Permanent decentralized storage** — encrypted results persist on Arweave forever, owned by you alone

## Who uses ZDrive?

Developers building agents that handle sensitive data, researchers working with private datasets, enterprises shipping LLM-powered features without surrendering data governance, and anyone running inference at scale without trusting a third party with raw inputs.

The business model is transparent: pay-as-you-go credits for inference, optional vault uploads to Arweave. Anonymous users get a limited free tier. Connected wallets unlock a modest free quota. Paid tiers access the full model stack and bypass datacenter restrictions.

## Core stack

| Layer          | Technology                                |
| -------------- | ----------------------------------------- |
| AI Inference   | Chutes.ai (Intel TDX TEE, Bittensor SN64) |
| Storage        | Arweave via Irys node2                    |
| Encryption     | AES-256-GCM (client-side, browser)        |
| Identity       | Base Wallet (ERC-1271)                    |
| Credits        | ZDriveXCreditsV2 on Base (UUPS proxy)     |
| Infrastructure | Cloudflare Workers + KV                   |


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