What makes the answers accurate?
SearchQ analyzes each question and routes it to the model best suited to it, instead of locking you to a single one. For high-stakes questions it can convene an AI council, where several frontier models answer in parallel and a summary model synthesizes a consensus that highlights agreement, disagreement, and unique points. It can also fact-check an answer with a separate model that flags unsupported or questionable claims inline, so you can see which parts to trust.
How does the privacy dial work?
You choose where each conversation runs. Cloud uses leading hosted models for the broadest capability. Encrypted routes your messages through a confidential-computing enclave so they stay end-to-end encrypted, even the server cannot read them. Local runs an open model entirely in your browser, so nothing leaves your device. Always-on web search keeps answers current, and you can chat with your own documents without uploading them anywhere.
What does SearchQ write about?
The SearchQ AI blog explains the ideas behind the product in plain, neutral language, with sources you can check. Core topics include:
- Private AI chat
- Large language models
- AI model routing
- AI answer verification
- Confidential computing
- On-device AI
- AI web search
- Zero data retention
- AI privacy
- Generative AI
Start with the blog, browse plain-English definitions in the glossary, or see how SearchQ compares to ChatGPT, Perplexity, and Claude.
About SearchQ AI
Articles on this site are published under SearchQ AI, the product's authoring persona. Each post is written answer-first, cites its sources, and is fact-checked before publishing, the same accuracy standard SearchQ applies to its chat answers.