Customized speech engines that outperform off-the-shelf models on real-life data, deployed where you need them, in just a few clicks.
You picked the best off-the-shelf speech model for your product.
On your real-world data, your acoustics, your users, your jargon, it breaks.
on-the-go clinical dictation
educative voice agent for children
voice control for music playback
Word error rate with frontier, enterprise models
The hard truth: building a speech team in house is a heavy long term-commitment and reaching production readiness takes at least $3M and 12 months.
Speech expertise is scarce and costly.
Navigate the open-weight model landscape, collect & annotate data, build pipelines, fix failure modes.
Scale real-time GPU workloads, and build customized models for other geos and products.
Years of research and engineering, turned into a 4 step process.
Pick the base model that best matches your use case.
Compose your model from our library of pre-trained adapters.
Drop in a CSV of your domain terms and toggle on the built-in entities you need.
Inject text at any point - session start or mid-conversation - to lock in the words that matter most.
{ "type": "update_session_context", "session_context": [ { "name": "pediatrician", "value": "Dr. Amanda Klein" }, { "name": "patient", "value": "Léa Martin, 6 y.o." }, { "name": "conditions", "value": ["asthma", "otitis media"] } ]}Run your engine against built-in sets or your own audio, and see WER and latency side by side with closed-API alternatives. When you're happy, deploy on your terms.
Every product and every user is different.
Building Sonos Voice Control, our team delivered speech recognition customized down to the individual user and the individual turn. Our mission is to bring that level of control to your product, across all three levels of speech understanding.
Real-time transcription that gets it right when it matters
Real-time conversational dynamics: who said what, when.
What happens beyond what is being said by whom.