Infrastructure we built for our own products.
A recognition backend we built for Voicelna and run on GPUs we operate ourselves. Streaming recognition tuned for sentences that switch language mid-clause, followed by a language-model pass that turns a raw transcript into text worth sending.
Measured: 144–149 ms server-side from end-of-speech to raw text on a single stream, 8–9 concurrent streams held under 500 ms, and a written capacity model for scaling past that.
Being findable by an AI assistant is not the same problem as ranking in a search engine. We built a way to check it — what the AI crawlers can reach, and what they can quote — and applied it to this site first.
In practice: fifteen AI crawlers named in robots.txt rather than left to guess, a structured-data graph describing the company and its products, pages pushed to search engines the moment they change, and pages written as checkable facts rather than adjectives.
Write to us in English or Chinese.
hello@aivmelna.comPut the app's name in the subject. If something isn't working, tell us your device and system version.