AI/ML

Ultra-Low Latency Voice Orchestration

Leveraging Vapi.ai to orchestrate STT, LLMs, and TTS into a unified, sub-500ms conversational stream.

Vapi.aiDeepgramFireworks AIPlayHT

Why Vapi.ai Integration Matters

Manually wiring together Deepgram (STT), OpenAI (LLM), and ElevenLabs (TTS) often results in 2-3 seconds of latency. Vapi orchestrates these streams natively, reducing latency to conversational levels.

Employer Demand

A highly specialized, niche skill that commands premium compensation.

How We Use It

We use Vapi as the core orchestration layer for our voice agents, focusing our engineering efforts on the custom backend function-calling and state management.

Real World Example

By migrating a custom-built voice loop to Vapi, we reduced perceived conversational latency from 1.2 seconds to 400ms.

The Slickrock Advantage

"We don't just use the Vapi dashboard; we programmatically provision and control Vapi assistants via their REST and WebSocket APIs for deep enterprise integration."

Frequently Asked Questions

What happens if the LLM takes too long?

We configure the agent to use 'filler words' (e.g., 'Let me pull up your file...') while the LLM generates the response, masking the latency.

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