We deploy HuggingFace's speech-to-speech pipeline on your infrastructure. Full data privacy, every component swappable, OpenAI Realtime-compatible WebSocket API. Replace Vapi/Bland/Retell at 10% the cost.
Vapi, Bland, Retell charge per-call-minute. At 10,000 minutes/month, that's $700–$1,500 in pure API costs.
Every call audio, transcript, and analysis passes through a third-party API. For health, finance, or legal — that's a compliance risk.
Switching providers means rewriting integrations. Your voice pipeline is tied to their API, their pricing, their rate limits.
More calls = more API fees. No volume discounts cap the pain. At 100K minutes/mo you're paying $7K–$15K.
HF speech-to-speech is a modular voice-agent pipeline. Every component (VAD, STT, LLM, TTS) is swappable. We deploy and manage it so you get unlimited voice minutes for a flat monthly fee.
VAD → STT (Parakeet) → LLM (Gemma 4 via llama.cpp) → TTS (Qwen3-TTS). Full duplex, real-time.
HF Speech-to-SpeechDrop-in replacement for OpenAI's Realtime API. Same WebSocket protocol, same events, zero code changes.
Drop-In CompatibleEvery component runs open-source models. No API calls, no data leaves your VPS, no per-minute billing.
Full PrivacyWe pick the right GPU (A10G, L4, A100, or consumer), install drivers, configure llama.cpp + CUDA + model cache.
Infra IncludedIntegrate into your app, website, or telephony system. We provide the integration layer and sample clients.
API-FirstAutomated model updates as new OSS models drop. Performance tuning for latency (target: <1s end-to-end).
ManagedCompare your current API spend vs. self-hosted infrastructure. Enter your monthly minutes and see the exact savings — plus a 10-question "Build vs. Buy" decision checklist.
Includes: cost comparison table, build vs. buy checklist, GPU sizing guide
One setup, one monthly fee. Unlimited call minutes. Your data stays on your infrastructure.
We review your current API usage, call volume, and integration points. 30-min call.
We provision the server, install drivers (CUDA, llama.cpp), pull models, and configure the pipeline.
Swap your existing API endpoint for the self-hosted WebSocket URL. Zero code changes if using OpenAI Realtime protocol.
We monitor latency, uptime, and model performance. Weekly optimization runs. You get unlimited voice minutes.
For production: A10G (24GB) or L4 (24GB) handles ~50 concurrent calls. A100 (80GB) for 200+. Consumer RTX 4090 works for dev/staging. We can also rent GPU from RunPod/Vast/Paperspace on your behalf.
With proper GPU tuning, end-to-end latency is 600-900ms (vs 400-700ms for managed APIs). For most use cases (support, sales, scheduling) this is imperceptible. We optimize for your specific model combo.
Yes — the LLM component is swappable. Use Gemma 4 (free, local) or route to GPT-4o/Claude (API-based). Hybrid setups are common: local STT/TTS + cloud LLM.
Self-hosted means you scale without per-minute cost. Add more GPU memory or nodes. No API throttling, no surprise bills.
Yes — the Enterprise tier includes managed GPU hosting on our infrastructure. Your data stays isolated, your own VPC.
Flat fee. Unlimited calls. Full privacy. Get the cost calculator and see your exact savings.
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