One control plane for private voice AI.
Wordcab Platform is one API, one CLI, and one control plane for voice runtimes, models, deployments, and evaluations — across infrastructure your team controls.
Voice AI breaks when real engineering work starts.
Sample audio is easy. Production is where things slow down — cleaning data, benchmarking models, fitting the stack to the target environment, clearing security review, supporting it after launch.
Wordcab removes that drag. Runtime, fine-tuning, deployment, and control on one product path.
The full-stack "Voice OS"
Wordcab Platform
The delivery model for private voice AI. One API and CLI for service selection, deployment, fine-tuning, and operations.
Wordcab Voice
Private runtime for speech and voice workflows — APIs, metrics, and day-two operations included.
ThinkWordcab Think
Private LLM layer for reasoning, summaries, extraction, routing, agents, and structured outputs.
AdaptWordcab Adapt
Data, evaluation, and fine-tuning for real production audio.
Packaged Solutions
Industry packaging for healthcare, contact centers, financial services, revenue, and inference providers.
A control plane your platform team can actually operate.
The runtime is half the product. The other half — identity, inventory, observability, evaluation — is what most open-source stacks miss. It's also what turns a working demo into a system the on-call rotation can live with.
Identity & access
One access surface across every service. SCIM provisioning, audit logs via webhook or syslog, per-environment RBAC.
Observability, standard
Every service emits Prometheus metrics and OpenTelemetry traces. Grafana dashboards ship in the chart. Route anywhere.
Runbook-driven ops
Preflight, support bundles, upgrade paths, and rollback procedures. 24/7 Gold Support in Production and Sovereign tiers.
Model experimentation
Run new models and prompts against held-out test sets before they touch production traffic. Test suites live in the platform.
Built to fit within existing workflows.
OpenAI-compatible runtime endpoints
A familiar integration path for chat, transcription, embeddings, and speech.
Application teams keep their existing SDK integrations. The difference is where inference runs: inside the customer boundary, not through a hosted endpoint your security team cannot audit.
API-first control plane
Deployments, models, agents, usage, and evaluations — inspectable and automatable.
Everything the platform manages is available through a programmable API. No hidden state, no opaque admin panels. Platform teams get the surface they need to fold voice AI into existing automation.
CLI-oriented operations model
Built for teams that want infrastructure-friendly workflows, not an opaque admin box.
Operators manage the system from a terminal, not a web console. Scriptable, composable, fits existing runbooks. The CLI is the primary interface for deployment, troubleshooting, and routine operations.
Metrics and diagnostics
Monitoring, diagnostics, and upkeep are part of the product — not an afterthought.
Health checks, structured logs, and diagnostic exports ship with every service. Troubleshooting does not require guesswork — or a vendor ticket for basic visibility.
Agentic AI ready
Multi-step voice and text workflows with tools, policies, and human-in-the-loop checkpoints — inside infrastructure you control.
Agents are not a separate bolt-on. The same endpoints, control plane, and observability extend to orchestrated flows. Teams move from simple transcription to supervised automation without replatforming.
Licensed software, with engineering attached.
Wordcab ships as a container license in three tiers. Gold Support and custom engineering are built into Production and Sovereign — not quoted as side consulting. Volume and deployment-model specifics are handled on the call.
Single-node evaluation
- Wordcab Voice runtime, containerized
- OpenAI-compatible endpoints
- Helm chart + Docker Compose
- Business-hours email support
- Evaluation license — convert to Production anytime
HA multi-node + Gold Support
- Voice + Think + Adapt licensed together
- HA Kubernetes / multi-region topologies
- 24/7 Gold Support with 99.9% production SLA
- Named deployment + support engineer
- Quarterly fine-tuning + eval work included
- Shared Slack channel with the Wordcab team
Regulated and dedicated
- Everything in Production
- Airgap, sovereign, or dedicated deployment
- On-site install + validation
- Dedicated engineer per deployment
- Bespoke SLA with named escalation
- White-label and OEM terms available
A contact center running 200,000 calls/month at 10 min/call with stereo audio pays roughly $27,450/month to AWS Transcribe — or $35,250/month with Call Analytics. That's ~$330–$423k/year before redaction, language ID, or egress. A Wordcab Production deployment at that volume typically reaches payback inside 8 months and compounds from there, with zero audio leaving your boundary.
Frequently asked questions
How does Wordcab price?
Is Wordcab a product or a services engagement?
Why talk about a control plane at all?
Can audio and transcripts stay in our environment?
Do we have to use one fixed model stack?
Can we start with Wordcab Voice and add Think or Adapt later?
Own the runtime and the control plane.
If your team is choosing between building it, paying hosted APIs, or moving to private deployment — Wordcab gives you the control surface, runtime, and deployment model to run voice AI like real infrastructure.
Talk to an Engineer
We usually respond within one business day.