Speech, audio and search. Built for your product.
We train and adapt models, evaluate them on your data, and integrate them into your devices or private infrastructure.
- On-device
- On-premise
Speech and language adaptation
Build speech recognition, expressive voices and voice controls around the way your users speak.
- Tune emotion, tone, pacing and pronunciation in synthesised speech, and adapt models to recognise vocal emotion.
- Train and adapt models for accents, dialects and domain vocabulary.
- Develop voice commands and evaluate speech that switches languages.
Audio processing and spatial sound
Build your audio pipeline around the listening environment and target hardware.
- Develop and integrate spatial audio features.
- Add noise cancellation, speech enhancement and audio cleanup.
- Evaluate sound quality and latency in the intended acoustic conditions.
Inference and private deployment
Run your models on the device or within your own infrastructure.
- Profile and optimise latency, memory use and model size on target hardware.
- Convert, quantise and integrate models with local runtimes and SDKs.
- Deploy on-premise with integration support and an operational handover.
Search and deep research systems
Help your users find relevant sources and build research workflows they can check.
- Build retrieval, ranking and deep research workflows with traceable sources.
- Evaluate search relevance and ranking on your queries, and check the evidence behind generated answers.
- Train and adapt embedding, reranking and other task-specific models.
Languages, accents and code-switching
Adapt speech to the languages and varieties your users speak. We define the target accents, dialects and language pairs with you, then evaluate recognition, synthesis and code-switching on representative recordings.
Start with a measurable target.
Begin with a focused evaluation or work with us through training, integration and deployment.
Define and evaluate
Agree on the data, target languages, hardware and success criteria. Establish a baseline.
Train and integrate
Adapt the model and build the pipeline. Compare each change against the agreed evaluation set.
Deploy and hand over
Test in your target environment. Deliver the model, integration and evaluation results within the agreed scope.
Explore the engineering
Explore our open-source speech runtimes.
Tell us what needs to work.
Share your use case, target languages or data, and the devices or infrastructure you need to run on.
Discuss your projectConsultancy, model training, integration and deployment support are scoped per project.