Voice AI for Contact Centers
- Explore vendor types and their impact on the quality of voice AI
- Achieve 40% faster response times with sub-100ms latency
- Deploy contact center-optimized voice AI in weeks, not months
- Balance cost, latency, and performance.
Inside the Guide
Know the LLM vs. SLM trade-offs
A clear breakdown of the Build–Evaluate–Launch–Learn model and how it creates predictable outcomes at every stage of the Voice AI process.
Compare Inference Costs
Large model costs can hit $4.40 per million tokens, while small models run for as low as 14 cents.
Billions of Parameters ≠ Better UX
Diminishing returns in performance over 100 billion parameters, especially in conversational fluency.
Deploy Voice AI Without the Risks
Design Voice Flows
Use the no-code builder to map logic, set variables, and define call behaviors. Every prompt, path, and action is fully controlled — so agents act predictably, every time.
Freedom to Choose Your Network
Unlike other platforms, Synthflow lets you connect through your own carriers or SIP trunks. No vendor lock-in, just enterprise flexibility and total control of your network.
Built to Fit Your Enterprise Stack
Synthflow connects directly with your enterprise systems: Cisco, Avaya, Genesys, RingCentral, and more. No rebuilds, just instant compatibility and faster time to value.
Performance You Can Rely On
With routing, capacity, and uptime managed entirely in-house, we keep latency below 100 ms and uptime above 99.99% — even through traffic surges and regional failovers.
