every private ai chat product
A broad live-web scan on 2 September 2026 — 32 search queries across official product, help, privacy and docs pages, repositories and roundups — surfaced 99 privacy-oriented AI chat products or materially distinct plan variants. “Every” cannot be guaranteed: the market and the open-source ecosystem change continuously, so this is a broad discovered catalog, not an exhaustive registry.
Models run on your own machine; prompts need never leave it. But “local-capable” is not a guarantee — enabling cloud model providers, sync, web search, connectors or telemetry can send data off-device.
You deploy the chat stack on infrastructure you control. Privacy is as strong as your operations. Many entries are small repository projects — assess maintenance and security before deployment.
Cloud services built around no-logs, zero or short retention, anonymizing proxies, or client-side encrypted history. You are trusting provider promises and technical measures, not your own hardware.
Business plans that promise no training on your data plus retention controls, encryption, compliance and admin governance. Privacy for the organization; the provider still processes the data.
| Product | Provider | Privacy claim / training-use statement | Source |
|---|
Method: broad live-web scan on 2026-09-02 using 32 diverse web-search queries; official product, help, privacy and docs pages plus repositories and roundups were reviewed, then extracted, normalized and screened into 99 products or materially distinct plan variants across four privacy architectures. Category counts are taken from the catalog’s own aggregates. Blank fields mean unknown, not “no”. Claims are quoted or condensed from vendor pages and are not independently verified; deployment, pricing and platform details were cut for space where absent from source pages. Not exhaustive — the market changes continuously.