Voice agents and local AI tools
Private speech and LLM serving for agent systems
Give voice agents low-latency speech and private language-model inference while keeping the complete system in infrastructure your team or customer controls.
Typical workflow
01private speech input and transcription
02controlled text-to-speech output
03privately deployed LLM inference
04OpenAI-compatible integration patterns
05local or customer-VPC agent systems
06offline or limited-connectivity assistants
Workflow
Where Izwi fits
Izwi provides the private speech runtime and can deploy the language-model serving layer behind your agent product.
- private speech input and transcription
- controlled text-to-speech output
- privately deployed LLM inference
- OpenAI-compatible integration patterns
- local or customer-VPC agent systems
- offline or limited-connectivity assistants
Why run it privately
Keep processing close to your data and application
A private deployment gives your team more control when sensitive data, latency, limited connectivity, customer infrastructure, or internal policy rules out a permanent dependency on hosted AI APIs.
Explore Voice AI Runtime →What Izwi provides
Clear ownership across the complete workflow
Your product retains its transport, telephony, orchestration, memory, workflow, and application layers. Izwi provides the speech and model-serving infrastructure, with integration points and ownership agreed before deployment.
Bring the workflow and target environment
We’ll help you choose the most useful first step: local evaluation, an assessment, a paid pilot, or production deployment.