AI for Outbound Calling

Self-Hosted Voice Agents vs Vapi: Real Cost Analysis (TCO + Break-Even)

This post breaks down Vapi vs self-hosted voice agents using real TCO, not hype. It shows how per-minute fees hide platform tax, why costs spike after launch, and when self-hosting (Dograh, LiveKit, Pipecat, Vocode) wins on latency, control, and scale.

Voice AI Platforms Are Charging You for a Dashboard

The underlying voice stack (STT, TTS, LLM, telephony) is increasingly commodity. Closed platforms charge multiples of raw cost. The delta is UI, margin, and lock-in - not value. This post breaks down where the tax shows up: latency ceilings, debugging theater, roadmap distortion, and PII routing.

Voiceflow vs Open-Source Voice Agent: Which to Choose? Buy vs Build

Voiceflow vs open-source voice agents is a buy vs build choice. Voiceflow helps you launch fast with minimal setup, while open source is better for high call volume, compliance, data control, and long-term costs, speed today versus control at scale tomorrow.

Retell AI vs Open-Source Voice Agent Platforms: Which to choose ?

Retell AI vs open-source is really about hidden platform costs versus flexibility and self-hosting. Retell AI can be hard to manage for non-technical users, with complex setup, limited support, and bundled fees, making this choice critical before voice agent costs spiral.

Vapi vs Open Source Voice Agents: Which to Choose ?

Vapi helps developers build real-time voice agents with telephony, LLM, and STT/TTS integrations, but users report hidden costs, UI issues, limited templates, billing problems, and slow support. This blog explores open-source alternatives like Dograh AI, Pipecat, and LiveKit.

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