Product
Izwi Voice AI Runtime
Run speech recognition, text-to-speech, speaker diarization, and voice workflows locally or inside controlled infrastructure.
Enterprise Private AI Infrastructure
Run private voice and language AI inside your infrastructure.
Izwi combines a private Voice AI Runtime with expert LLM deployment and managed operations. Run sensitive workloads in your cloud account, data center, or at the edge—without sending every request to a public AI provider.
Customer-controlled deployment. Supported path from pilot to production.
Applications and workflows
API / Identity / Network boundary
Customer VPC / Data Center / Edge
Izwi Voice AI Runtime
ASR / TTS / Diarization
Private LLM Serving
Inference / APIs / Retrieval
Approved model artifacts
Observability / Versioning / Operations
- Customer VPC
- Customer cloud account
- On-premises
- Data center
- Edge and offline
- Planned isolated deployment
What Izwi offers
One partner for private voice and language AI
Private AI combines model selection, inference infrastructure, integration, controls, observability, and an operating process. Izwi provides that path for voice and language workloads.
Explore Izwi Voice AI Runtime
Deployment service
Private LLM Deployment
Select, benchmark, deploy, and integrate open-weight language models inside your cloud account or data center.
Managed service
Managed AI Operations
Operate private AI with scoped monitoring, upgrades, incident support, optimization, and reporting.
Customer-controlled by design
Keep sensitive workloads inside the environment you control
Keep audio, prompts, documents, embeddings, and model outputs in the environment you govern. We design access, updates, and operational visibility around your security policies.
Data boundary
Process sensitive inputs inside a customer-controlled environment instead of routing every request to a public model API.
••••••••
Identity and access
Integrate the serving layer with the authentication, network, secrets, and access-control approach selected for the deployment.
Version control
Pin approved runtime and model versions, document updates, and plan controlled rollout and rollback.
Operational visibility
Monitor endpoint health, latency, throughput, errors, and utilization without exposing application data unnecessarily.
From workload to operations
Start with one scoped workflow. Build the path to production.
Test one real workflow in its target environment. You leave with measured results, a documented architecture, identified risks, and a clear recommendation for production.
01
Assess
Define the workload, data requirements, model candidates, hardware, integrations, risks, and success criteria.
02
Pilot
Deploy one real workflow in one target environment and benchmark quality, performance, utilization, and operational fit.
03
Deploy
Package the approved runtime and models with controls, observability, automation, documentation, and rollout guidance.
04
Operate
Monitor performance, manage updates, respond to incidents, and report against the agreed operating model.
Where Izwi fits
Built for AI that cannot depend on a public API
Use Izwi when sensitive data must stay in your environment, connectivity is limited, latency matters, or your product needs a supported path from pilot to production.
01
Software vendors and OEM products
Embed private speech or language AI into software that must run in the vendor's environment or inside customer infrastructure.
Why Izwi
Deep infrastructure expertise focused on deployment
Product-led voice expertise
A real Voice AI Runtime that teams can evaluate locally, integrate, and package for enterprise deployment.
Practical LLM engineering
Model fit, hardware, serving, networking, controls, observability, optimization, and lifecycle treated as one infrastructure problem.
Customer-owned architecture
Designed around infrastructure the customer controls rather than a permanent dependency on an Izwi-hosted public API.
A clear commercial path
Start with an assessment or paid pilot, move into production deployment, and add managed operations where required.
Africa, the Middle East, and Europe
Private AI for markets where sovereignty, connectivity, and deployment control matter
Izwi works with enterprises and software vendors across Africa, the Middle East, and Europe. We design for local data-residency needs, available infrastructure, connectivity, and the way your team operates.
Run AI where your data, policies, and operations require it to run.
Bring one workload and one target environment
Tell us what needs to run, where it needs to run, what data must remain private, and what is blocking production today.