Breeze Buddy
Voice AI Platform

Breeze Buddy is an enterprise-grade conversational voice AI platform with fully-managed infrastructure — the system wrapped around the model. Deploy intelligent voice agents at scale across phone calls and web applications, without writing agent logic or running the operational stack yourself.

What is Breeze Buddy?

Breeze Buddy is AI + Infra. You get the intelligence (LLM-driven flows, real-time STT/TTS) and the infrastructure that keeps it online (isolated per-call runtime, pools, retries, storage, observability) — one platform, both layers.

It handles the entire lifecycle of a voice conversation — receiving a lead, placing or connecting a call, running a real-time speech pipeline (STT → LLM → TTS), navigating a template-driven flow, and delivering structured outcomes via webhooks.

Think of it as a programmable voice agent as a service: you define what the agent says through JSON templates, and Breeze Buddy handles the how.

No-Code Agent Logic

Define conversation flows, prompts, and transitions in JSON templates. Deploy changes instantly without code releases.

Dual Transport

Use Daily WebRTC for browser-based voice or Telephony (Twilio, Plivo, Exotel) for phone calls — same template, same API.

Fully-Managed Infrastructure

1-pod-1-call runtime via Agent's Cloud — dedicated Kubernetes pod allocated per call, media stream pinned to the pod, automatic horizontal scale-out. We run the cluster, you don't.

Enterprise Ready

Multi-tenant RBAC, blacklists, analytics, Langfuse auto-evaluation + Slack alerting, OpenTelemetry tracing — quality gates and compliance built in.

How is it different?

Most voice AI tools give you an LLM wrapper and leave the operational stack to you. Breeze Buddy ships both:

CapabilityTypical Voice AIBreeze Buddy
Agent logicCustom Python/Node codeJSON templates — no deployment needed
Conversation flowHard-coded state machinesGraph-based flow nodes with LLM-driven transitions
Voice pipelineStitch together STT + LLM + TTSManaged pipeline — Pipecat under the hood
Call isolationShared workers, noisy-neighbour riskOne call, one pod — Agent’s Cloud allocates a dedicated pod per call and releases it on end
Session startup~8–10s cold-start~3–4s via pre-warmed process + room pools
TelephonyWrite Twilio/Plivo integrationsBuilt-in — three providers, auto-retry, warm transfer
Provider switchingRewrite integration layerPer-template config — swap STT/TTS/LLM in JSON
Multi-tenancyBuild yourselfNative RBAC + KMS-wrapped per-merchant credentials
ObservabilityInstrument everythingLangfuse + OpenTelemetry + auto-eval alerting built-in

Key use cases

Choose your integration

Breeze Buddy supports two transport modes. Both use the same template system and Leads API — the only difference is how audio reaches the user. See the Architecture page for the full request lifecycle.

How it works

The core workflow is simple:

  1. Push a lead via API

    Send a request to the Leads API with your template, payload, and execution mode

  2. Platform validates and routes

    Pre-checks, template schema match, and number blacklist are validated. Then the lead is routed to Daily or Telephony.

  3. Voice pipeline processes in real-time

    STTLLMTTS pipeline processes audio. The LLM navigates template nodes via function calling.

  4. Receive webhook callbacks

    Get full transcription, collected data, outcome status, and analytics via the reporting webhook.

See the full picture

For the detailed request lifecycle with flow diagrams, execution modes, and platform stack, see the Architecture page.


Customize your agent

Every aspect of the voice experience is configurable through JSON templates. No code deployment needed.

Next steps

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