Research · Voice & speech
Custom brand voice (text-to-speech)
A natural, consistent brand or product voice trained from consented recordings, running on your own infrastructure.
hoursnot weeks, of studio audio needed
consentdocumented voice-rights process
self-hostedno third-party voice API
Pipeline
- Recording script and consent agreement
- Studio recording and cleaning
- Fine-tune an open TTS model
- Listening tests (MOS) with target users
- Watermarking and misuse safeguards
Figures show the typical order of magnitude for this approach compared with calling a large general-purpose model. Actual results depend on the task and data; we measure them on your data during the baseline phase.
Next step
Let's talk about your AI system.
A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.
Keep exploring
There’s more to see.
Up next · Use cases
What this looks like in your industry
24 use cases across finance, healthcare, retail, manufacturing, legal and SaaS.
How we work
Start small. Prove value. Scale.
Three engagement models, a measure-first approach and a 3-click starting-point finder.
About
Hands-on engineering, not slideware
Who we are and the principles we work by.
Blog
Notes from the field
In-depth articles on architecture, production lessons and research.
Services
Everything between the idea and the SLA
Agents, MCP servers, RAG, fine-tuning, voice, vision and governance, 19 hands-on capabilities.