Up to ~93% lower than the standard cloud STT tier at the matched workload — across Auricus Voice 8 / 16 / 32.

Each row matches a realistic annual audio volume to an Auricus Voice configuration; percentages compare against each cloud provider’s listed tier at that same volume.

Savings vs cloud tier

Accelerators Matched annual audio (M min/yr) AWS Transcribe (std) Azure STT (real-time) Azure STT (batch) GCP STT v2 (std) GCP STT v2 (dynamic batch)
8 2 ~82% ~74% ~29% ~73% —
16 4 ~90% ~86% ~62% ~86% ~24%
32 8 ~93% ~92% ~79% ~91% ~57%

Rounded figures derived from 2026-04 public list references (AWS Transcribe Std tiered, Azure STT real-time and batch, GCP STT v2 Std and Dynamic Batch). On-prem comparison assumes Auricus Voice with 4-year straight-line amortisation of capital hardware (illustrative TCO model), plus typical operating costs (power and support). An em-dash (—) means the matched on-prem TCO does not improve on that cloud tier at the lowest workload row — typically the very cheapest asynchronous batch tiers — and the appliance becomes advantageous from the next density up. Validate against your own quotes, volume discounts, and sustained utilisation.

Why the gap

  • Cloud STT bills per minute and routes voice data through shared, third-party infrastructure. The bill grows with usage; the egress and quota constraints don’t.
  • Auricus Voice keeps voice AI inference local. One capital line item amortises across years of audio. Power and support are predictable; there is no per-minute meter and no egress in the inference hot path.

Beyond the API bill

The matched-workload savings above only count the API line item. The operational economics often matter more:

  • Latency — cloud paths add network RTT and provider delay. Agents and workflows wait. On-prem edge is bounded by your rack.
  • Reliability — no dependency on external API uptime, rate limits, or internet jitter.
  • Compliance — audio and transcripts never leave your network. Cross-border or third-party processing exposure is structurally impossible on the inference path.
  • Roadmap independence — your multilingual coverage and quality dashboards do not depend on a cloud vendor’s release schedule.

→ See the full compliance posture in Compliance, and the platform deep-dive in Platform.

Talk to us about your workload

Bring your annual audio volume, language mix, and SLO requirements and we’ll size a sovereign voice AI configuration against your current cloud spend.

ask@auricus.com