Edge and Offline AI
Bring private AI closer to the work
Run selected speech and language workloads locally when connectivity is unreliable, round-trip latency is too high, cloud egress is costly, or policy requires processing on site.
Typical workflow
01branch and retail locations
02factories and industrial sites
03field-service operations
04remote offices
05vehicles and mobile systems
06local data centers
07isolated or restricted networks
Workflow
Where Izwi fits
Izwi provides the voice and language infrastructure beneath the workflow, deployed where your application and data need it.
- branch and retail locations
- factories and industrial sites
- field-service operations
- remote offices
- vehicles and mobile systems
- local data centers
- isolated or restricted networks
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
We assess the model, workload, hardware, power, thermal limits, storage, update process, and service requirements before recommending an edge deployment. The result is an architecture designed for the device and operating conditions—not a promise that every model will run everywhere.
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.