Solutions
Private AI for products and workflows that need more control
Run voice and language AI closer to your data when confidentiality, latency, connectivity, model choice, or customer infrastructure makes a hosted API the wrong fit.
Common requirements
Workflows
Where teams use Izwi
Product infrastructure
Software vendors and OEM products
Embed private speech and language capabilities in products that must run in your environment or inside customer infrastructure.
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Voice plus language
Contact-center intelligence
Run transcription, diarization, summarization, extraction, and quality workflows inside an approved customer boundary.
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Confidential workflows
Legal workflows
Provide private transcription, interview processing, dictation, retrieval, and language infrastructure for confidential legal work.
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Workflow vendors
Healthcare workflow vendors
Add controlled speech and language infrastructure to documentation, dictation, intake, and assistant-style workflows.
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Private agent infrastructure
Voice agents and local AI tools
Combine the Voice AI Runtime with a privately deployed language model while keeping orchestration and application logic in the appropriate layer.
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Knowledge infrastructure
Enterprise knowledge AI
Deploy private model serving, embeddings, reranking, retrieval, and API infrastructure for internal search and assistants.
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Distributed environments
Edge and offline AI
Run selected workloads at branches, factories, field sites, vehicles, or restricted environments where continuous cloud access is impractical.
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Bring the workflow and target environment
We’ll help you choose the most useful first step: local evaluation, an infrastructure assessment, a paid pilot, or production deployment.