01
Systems-first architecture
We treat voice AI as an orchestrated system of components rather than a single model prompt.
NEXA
Voice AI systems, engineered for production.
We build voice-first AI applications for booking, intake, routing, and workflow execution—designed with an engineering focus on latency, control, reliability, and measurable task outcomes.
Built for real operational environments—not just polished demos.
Voice pipeline
01 · listen
Inbound call received, speech captured and transcribed.
02 · interpret
Intent classified, service type and time preference extracted.
03 · execute
Availability checked, slot confirmed, calendar updated.
Booking completion rate 94%
Avg. turn latency < 800ms
Human handoff support Yes
What we build
Production-grade voice AI for real business workflows
We design and deploy voice-oriented AI systems that do real work. That includes handling inbound calls, collecting structured information, booking appointments, routing requests, validating details, and escalating exceptions when human intervention is needed.
Our systems are built for environments where timing, reliability, and workflow correctness matter.
Why this is hard
Voice AI is a systems problem, not just a prompt problem
Voice applications operate under real-time constraints. They must listen, interpret, respond, call tools, preserve state, recover from ambiguity, and keep the conversation moving—often while the caller interrupts or changes direction.
That is why we approach voice AI as an engineering discipline.
— Speech recognition variability
— Accents and pronunciation differences
— Barge-in and interruption handling
— Latency across model and tool layers
— Business-rule enforcement
— Deterministic fallback logic
— Human handoff paths
— End-to-end observability
Featured product
Meet NEXA
NEXA is our voice-based AI booking system for appointment-driven businesses. It handles inbound booking conversations, captures intent, gathers missing details, checks availability, confirms appointments, and routes edge cases appropriately.
NEXA is built for businesses that need more than a generic answering bot. It is designed for workflow completion under real operating conditions.
Capabilities
- → Inbound booking automation
- → Rescheduling and cancellations
- → Information capture and validation
- → Calendar and backend integration
- → Human handoff support
- → Transcripts, analytics, and event traces
How we work
Our engineering approach
02
Real-time performance awareness
We design around latency budgets, streaming behavior, interruption handling, and response timing.
03
Explicit control and recovery
Structured workflows, validations, fallback paths, and escalation logic maintain predictability.
04
Workflow integration
A voice agent is only useful when it connects correctly with calendars, CRMs, booking tools, and internal systems.
05
Measurement and iteration
We improve systems using instrumentation, traces, failure analysis, and eval-driven refinement.
Industries
Designed for appointment-driven and service-based operations
Voice AI creates the most value when missed calls, repetitive booking work, and after-hours demand directly affect revenue and service quality.
Salons and clinics
Inbound booking, staff availability, rescheduling.
Tradies and home services
After-hours intake, job triage, callback workflows.
Intake and reception
Structured data capture, validation, routing.
Field-service scheduling
Availability windows, address capture, dispatch.
Consultation businesses
Discovery calls, pre-qualification, calendar sync.
FAQ
Frequently asked questions
NEXA is designed as a workflow-executing voice system, not just a conversational interface. It is built to manage booking logic, validations, integrations, fallback behavior, and measurable outcomes.
Yes. NEXA is designed to connect with operational systems such as calendars, CRMs, internal APIs, and scheduling platforms.
The system can recover through confirmation prompts, fallback logic, and escalation paths. We design for ambiguity and exception handling rather than assuming ideal input.
We evaluate systems using metrics such as booking completion rate, structured data capture quality, transfer rate, latency, error categories, and task success under realistic conversation conditions.
Yes. Human transfer and controlled escalation are part of a production-grade voice workflow.
Get started
Building a serious voice workflow?
Let's discuss the system design, workflow constraints, integrations, and evaluation model required for production deployment.