AI features
Where the translation actually sits
Lexven is in the business of building a core AI/ML product. Named jobs: speech-to-speech, speech-to-text with timestamps, turn-taking, and in-house translation models. This is a Model Creator — not an agent company.
AI feature · Speech-to-speech
Translated audio that still feels like a meeting
For rooms that cannot wait for a transcript
Apps stream audio in and receive translated speech with the original cadence held close enough for a meeting. SDKs for WebRTC, SIP, and a virtual mic.
PCM / Opus in → POST /v1/streams → translated audio
AI feature · Speech-to-text with clocks
Captions and timestamps on the same playhead
For UIs that draw a waveform and a transcript together
Live captions in the listener's language, with word timings. Every audio packet and caption share a stream clock so turn-taking stays intact.
Stream clock → captions + audio packets
AI feature · Turn-taking
Barge-in still works on a live call
For people who talk over each other the usual way
Lexven keeps a short lookahead so a listener can cut in. The output stream ducks instead of finishing a stale sentence. Fifty-plus languages on Room.
Lookahead → duck → keep the floor
AI feature · In-house translation models
Model creator, not an agent runtime
For teams that need glossaries and their own stack
In-house translation stacks, with fine-tunes for medical and legal glossaries. Planned families also include AWS Nova and Llama 3 8B. Access: Bedrock, Hugging Face, Groq. Lexven is not building AI agents.
Glossary + model pack → stream
IVA / speech. Core AI/ML product. Model Creator. Not building AI agents. MVP stage — no invented customers, funding, or uptime claims. Existing site figure of 240 ms median first audio on a quiet line remains on the product story, not a new claim.