The Sovereign
Voice Engine.
The cloud is too slow for conversation. The TopCode Edge Server is a fully air-gapped Voice-to-Voice Engine. It pipelines VAD, Whisper, LLM, and TTS locally on your GPU—eliminating the latency and cost of OpenAI Realtime APIs.
Zero
Cloud Dependency
WebRTC
Bi-Directional Stream
Barge-In
True Interruptibility
Turnkey
Licensable IP
Conversations Can't Wait 2 Seconds.
Standard Cloud APIs (STT -> LLM -> TTS) introduce a stack-up latency of 800ms to 3 seconds. In VR, Training, or Healthcare, this delay breaks the "Presence Loop," making the AI feel like a walkie-talkie, not a person.
The Financial Bleed: "Always Listening" cloud services charge by the minute (~$0.24/min). A single training simulation running for an hour costs $14.40. Multiply that by 1,000 users, and your OpEx explodes.
The Solution: The TopCode Voice Engine runs 100% locally. No per-minute fees. No network lag. Just instant, fluid conversation.
The "Streaming River" Pipeline
We engineered a zero-buffer pipeline. As soon as the user speaks, the VAD triggers. As tokens generate, TTS streams audio instantly.
Calculate Your "Cloud Bleed"
Cloud APIs charge for every minute of silence. Drag the slider to forecast your yearly Cloud Liability ($0.24/min) vs. Edge Ownership.
Costs scale linearly with usage. No asset retention.
One-time CapEx. Zero marginal cost per minute.
The Local Audio Pipeline
No Python scripts. No Docker hell. A single compiled executable that handles the entire conversational loop.
*Pipeline supports Barge-In: When VAD detects user speech, TTS audio is instantly killed.
Deployment Ecosystem
Drop-in SDKs for every major platform.
"The latency improvement was immediate. By moving from OpenAI Realtime API to TopCode's local Voice Engine, we dropped voice-to-voice latency from 1.5s to 250ms."
Spatial Computing Lab (Zurich)
Stop Renting. Start Owning.
Licensing available for Enterprise, Defense, and Academia.
Request Architecture Brief