Latency & Optimization
In Voice AI, every millisecond counts. If an agent takes too long to respond, the conversation feels robotic and turn-taking breaks down. Movoice AI is engineered for ultra-low latency (300ms–500ms) — one of the fastest platforms for Indian deployments.How We Achieve Sub-500ms Latency
1. Regional Edge Servers
Most Voice AI platforms route traffic through global hubs in the US or Europe. Movoice AI routes calls via localized server clusters in Mumbai and Chennai.- Reduced packet travel distance for Indian users shaves off 200–400ms of physics-level latency.
- Indian callers get responses processed in-region, not via Singapore or US-East servers.
2. Full Streaming Pipeline
We don’t wait for a complete sentence before responding. Every stage of the pipeline streams in parallel:
This triple-streaming approach compounds — cutting 300–500ms versus a sequential pipeline.
3. Predictive Turn-Taking
Movoice AI uses Voice Activity Detection (VAD) to distinguish between a natural pause (breathing) and the end of a user’s thought, minimizing dead air between turns.Optimizing Your Agent
You can further reduce latency with these configuration choices:Latency Benchmarks
To maintain these speeds, use a stable internet connection for web calls or high-quality SIP trunks for telephony. Unstable networks can add 100–200ms regardless of server proximity.
Troubleshooting Slow Responses
Agent feels slow? Check these in order:- Model — switch to Gemini Flash if using GPT-4 Turbo
- Voice — avoid voices not marked
Low Latency - Tool calls — if your agent hits an external API, that response time adds directly to latency
- Prompt — a 3,000-token system prompt is significantly slower than a 600-token one
- Network — test from a different network to rule out local connectivity issues