The Global Voice AI Gathering report is out 🥳
    Izwi

    Izwi

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    Tech
    On device
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    GDPR

    Enterprise platform for deploying private voice and language AI infrastructure.

    Founded 2026Harare, ZimbabweLinkedIn
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    About Izwi

    Izwi: Enterprise Private AI Infrastructure

    Izwi provides enterprise private AI infrastructure that allows organizations to run private voice and language AI inside their own infrastructure. By combining a private Voice AI Runtime with expert LLM deployment and managed operations, Izwi enables sensitive workloads to run in customer cloud accounts, data centers, or at the edge without sending requests to public AI providers.

    Key Features

    • Voice AI Runtime: Run speech recognition (ASR), text-to-speech (TTS), speaker diarization, and voice workflows locally or inside controlled infrastructure.
    • Private LLM Deployment: Select, benchmark, deploy, and integrate open-weight language models inside your cloud account or data center.
    • Managed AI Operations: Operate private AI with scoped monitoring, upgrades, incident support, optimization, and reporting.
    • Customer-Controlled Data Boundary: Keep audio, prompts, documents, embeddings, and model outputs in governed environments instead of routing requests to public model APIs.
    • Version Control and Visibility: Pin approved runtime and model versions, and monitor endpoint health, latency, throughput, errors, and utilization without exposing application data.
    • Identity and Access Integration: Integrate the serving layer with selected authentication, network, secrets, and access-control approaches.

    Use Cases

    • Software Vendors and OEMs: Embed private speech or language AI into software that must run in the vendor's environment or inside customer infrastructure.
    • Regulated and Confidential Work: Manage legal and healthcare workflows where data privacy and sovereignty are critical.
    • Edge and Offline Operations: Deploy AI in branch or field environments where connectivity is limited or latency matters.
    • Contact-Center Intelligence: Process sensitive voice data securely within a private infrastructure.
    • Enterprise Knowledge and Assistants: Build internal AI tools that keep proprietary documents and embeddings secure.

    Getting Started

    Website: https://izwiai.com/

    Izwi delivers a secure, customer-owned architecture for voice and language AI, specifically designed for enterprises and software vendors across Africa, the Middle East, and Europe where data sovereignty, connectivity, and deployment control are essential.

    Lennex Zinyando

    Lennex Zinyando

    Founder at IzwiAI

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