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Built with QVAC: a smart security camera that sees and reasons, fully on-device

A real security camera uploads your driveway, your face, and your neighbours to someone else's cloud. To show local AI does not have to, we built a demo (an illustrative example, not a QVAC product) that detects people, vehicles, and bags, judges whether a scene looks normal or high-risk, and raises an alarm, all on your own machine, with no frame ever leaving the device.

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Ask your database in plain English, with a local AI that keeps your data on your device

Some data should not go to a cloud chatbot: customer records, patient files, case history, your sensitive data. To show how local AI changes that, we built a demo that turns a plain-English question into SQL and runs it entirely on your own machine, with your rows never leaving the building, allowing you to talk with your database.

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Quick-start: build your first local AI app with your coding agent

Your coding agent can already build almost anything you describe to it. But ask it for an AI feature and it reaches for the same thing every time: a cloud API key, a per-token bill, and your users' data leaving their device for someone else's servers. It does not have to work that way. The AI can run on the device itself, private, offline, and free to run, and your agent can write that code for you. You just have to know how to point it. That is what this guide is for.

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Nothing is more private than a thought: how QVAC runs a brain-to-text model fully on-device

For people who have lost their voice to ALS, the words are still there. The connection to the world is what breaks, not the mind. BrainWhisperer, from Tether Evo, decodes attempted speech from the brain into text, and QVAC runs it fully on-device: more than 90% of words correct on real recordings, in under 2 GB, nothing leaving the machine. An early proof of concept, not a product.

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