Own your voice stack end-to-end.
Wordcab packages runtime, fine-tuning, and deployment so technical teams can ship custom voice AI across private cloud, on-prem, hybrid, and restricted environments — and mix those environments when the workload demands it.
One product path from pilot to production
Skip the fragmented vendor stack and one-off infrastructure work. Wordcab gives engineering teams a productized path from day zero to operating runtime.
Already trusted inside voice-heavy products and operations.
Wordcab's work has supported revenue intelligence, field service, sales enablement, contact center, speech analytics, and sovereign AI infrastructure teams.
The demo is the easy part.
Production is where voice AI projects stall. Getting a transcript working on sample audio is straightforward. Production is not. Teams lose time cleaning data, testing models, packaging deployments, clearing security review, and supporting the runtime after launch.
Wordcab closes that gap — one product path from pilot to production instead of a stack of vendors, internal tools, and one-off infrastructure work.
Messy audio and weak domain fit
Real recordings, overlapping speakers, accents, and noisy channels break generic defaults.
Benchmark results do not transfer to production audio. Telephony noise, cross-talk, and domain vocabulary create accuracy gaps that only show up after the demo is over and real calls start flowing.
Deployment reality
Self-hosted is not the same as deployable in a real customer environment.
Getting containers running is not the hard part. Approved networking, private registries, upgrade paths, and environment-specific packaging are what turn a working demo into a production system.
Post-launch operations
Pilots rarely come with diagnostics, upgrade paths, or a clean operating model for the team that inherits it.
The team that builds the pilot is not the team that runs it. Diagnostics, monitoring, upgrade procedures, and support tooling are usually missing from open-source-first stacks.
Late security drag
Many projects start on hosted APIs and get rebuilt later when control, residency, or review requirements show up.
Projects that start on hosted APIs often face architectural rework when security review arrives. Starting with customer-controlled deployment removes that failure mode from the beginning.
One platform. Three products. Clear solution paths.
Wordcab Platform
The umbrella platform and delivery model for private voice AI. Orchestrates service selection, deployment, fine-tuning, and operations under a single API and CLI.
Wordcab Voice
The runtime layer for transcription, speech generation, and voice workflows in infrastructure you control — packaged as production-ready containers.
Wordcab Think
The LLM layer for summaries, extraction, routing, agents, and reasoning workflows in infrastructure you control — CPU, GPU, and specialized inference hardware.
Wordcab Adapt
The data, evaluation, and fine-tuning layer that makes the stack work on your real audio — cleaning, organizing, and preparing for domain-specific needs.
Packaged Solutions
Industry packages built on the products above for healthcare, financial services, contact centers, revenue workflows, and inference providers.
Built for real-world environments, not best-case scenarios.
Pre-built deployment patterns for every infrastructure constraint — no rebuilds when your environment turns out to be more constrained than expected.
Customer-managed Kubernetes
Repeatable deployment packaging and rollout logic that fits platform engineering workflows.
Helm charts, GitOps-friendly configuration, and upgrade paths built in. Platform teams get native Kubernetes packaging that works with their existing automation instead of around it.
Private cloud and hybrid
Run in customer-owned cloud accounts, private infrastructure, or both.
Mix environments under one operating model. Teams run different workloads in different places and need the deployment packaging to adapt to the target, not the other way around.
Restricted environments
Private registries, governed artifact movement, and disconnected deployment patterns.
Air-gapped and restricted-egress environments are supported. No hidden SaaS dependency, no call-home requirement, and no network assumptions that force the customer to change their security posture.
Flexible hardware targets
Fit CPU, GPU, or select accelerators based on latency, throughput, cost, and control requirements.
Hardware targets are configured per workload, not locked to a single assumption. Teams choose the right compute for each part of the pipeline based on real constraints.
Built for high-stakes voice workflows.
Wordcab is for teams that need control, deployability, and a system they can actually operate after launch.
Voice AI you control.
PHI-aware clinical and patient voice — on infrastructure you own.
See the fastest path from voice AI pilot to production.
Bring the workflow you want to ship, the environment you need to run in, and the constraints that will matter in review. Wordcab will show you the likely deployment path, where adaptation matters, and what your team will not have to build itself.
Talk to an Engineer
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