AI platforms

Ship voice in your product without becoming a voice company.

Embed Guava in your AI stack. Your prompts, your data, our voice infrastructure. Sub-1s latency. WebRTC + SIP. Compliance you can hand to your enterprise buyer.

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AI platforms — themed

Why teams pick Guava for AI platforms

Sub-1s end-to-end

Proprietary ASR + TTS + turn-taking stack. WebRTC for the browser, SIP for the PSTN. The same latency budget on both.

You keep model control

Guava handles the voice channel. Your reasoning runs in your stack — call out to your LLM, your RAG, your tools, your prompts.

Procurement-ready compliance

SOC 2 II, HITRUST i1, PCI DSS L1 in the box. Hand the audit report to your enterprise buyer instead of building it yourself.

Workloads we run in AI platforms

Five ways teams embed Guava instead of becoming a voice company.

  • Embedded voice layer

    White-label voice in your product

    ↓ Time-to-ship↑ Uptime

  • Telephony · WebRTC · SIP

    Carrier-grade connectivity

    ↓ Latency↑ Call quality

  • Compliance you hand to buyers

    SOC 2 · HITRUST i1 · PCI

    ↑ Deal velocity↑ Buyer trust

  • Scale on demand

    Burst to peak volume

    ↑ Concurrency↓ Drop rate

  • Your logic, not a prompt

    Code, not prompts

    ↓ Hallucinations↑ Task completion

Ready-to-run examples

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