Solutions
Where the GPU bill is the product problem.
Three places cloud-GPU voice AI stops making sense — and what running on the CPU changes in each.
01 Cloud Our platform, per minute. Contact centers, outbound, phone agents — synthesis, transcription and orchestration included. 02 On-premise The full pipeline inside your perimeter, on your CPUs. Audio never leaves. Built for regulated teams. 03 On the edge On the compute already inside the device. Works offline, no lifetime inference bill. For devices and robotics.
Devices & robotics
Sell the device once. Don't pay for its voice forever.
A GPU-dependent stack means cloud inference for every unit, for its whole life. Our models run on the compute already inside the product.
- COGSNo per-unit cloud inference line item after the sale.
- OfflineVoice keeps working when connectivity doesn't — warehouses, vehicles, outdoors.
- LatencyNo round-trip to a data center in the conversational loop.
Regulated enterprise
Audio that never leaves your perimeter.
Healthcare, finance, government. An auditable, in-perimeter voice stack turns GDPR and the EU AI Act from a blocker into a shorter procurement.
- On-premThe full pipeline inside your environment, on your CPUs.
- AuditableEvery stage is a model you can inspect, not a black-box API hop.
- SovereignEU-built, EU-hosted, or self-hosted. Your call.
High-volume voice
When minutes are the unit of cost.
Contact centers, outbound, phone agents. Per-minute plans that already include synthesis, transcription and orchestration — and overage that falls as you grow.
- Per minutePlans from $29 a month; overage from $0.08 down to $0.04 a minute by tier.
- Phone-readyNumber provisioning, inbound and outbound, single and bulk dialing.
- Barge-inTurno decides interruptions on the audio itself, so callers can talk over the agent naturally.
Tell us where it needs to run.
Cloud, on-prem, or on the device — we'll scope it with you.