Introducing Auricus Voice

Cloud speech-to-text APIs solved a real problem ten years ago: a fast way to add transcription to a product without standing up your own model serving. They’re still useful — and they’re also, at any meaningful audio volume, a tax that compounds.

We built Auricus Voice for the operators on the other side of that compounding curve: contact centers, regulated industries, telcos, and government deployments where the bill, the latency, and the data path all become real constraints.

What we shipped

A single purpose-built rack-mount appliance that ships the entire voice intelligence platform inside.

• Live and near–real-time windowed streaming for contact centers, supervision, and compliance workflows.
• Batch at scale — sustained ~100 files/min end-to-end on the densest configuration.
• ~99 transcription languages and 107 automatic language-ID classes.
• REST + async integration with poll or webhook delivery.
• Prometheus + Grafana observability, structured audit logs, exportable SLO tracking.

→ See the full platform in Platform, the public spec sheet in Specifications, and the matched-workload comparison in Savings.

Why “on-prem” and not “private cloud”

We’re explicit about this distinction because it matters for compliance and economics both.

• Compliance. When the inference pipeline makes no outbound calls to external APIs, third-country exposure isn’t a risk to mitigate — it’s structurally impossible.
• Economics. A capital line item amortised across years of audio is a different shape than a per-minute meter. Up to ~93% lower at the matched cloud STT tier across the family, by our analysis.
• Operational. Latency is bounded by your rack, not by a shared cloud region.

What’s next

We’ll use this blog to share what we learn building and operating Auricus Voice — engineering notes, regulatory tracking (the EU Digital Omnibus is moving fast), and the occasional benchmark.

If you operate at the volume where cloud STT economics break down, we’d love to hear from you: ask@auricus.com.