Inbound Call Handling
Agents that answer, identify the caller, understand the reason for the call in natural speech, and resolve it against live systems — replacing phone trees that customers press zero through anyway.
Production voice AI agents for real phone calls — sub-second response, natural interruption handling, live system lookups, and warm transfer with context.
Share your project details — a senior engineer responds within 4 hours.
Independently audited, certified and built to standards you can check

Voice AI agents are phone-based conversational systems that handle inbound and outbound calls against your live systems. Built for contact centers, clinics, and field operations, they answer naturally, verify callers, resolve routine requests, and warm-transfer complex cases with full context — engineered for telephony latency, not chatbot demos.
Agents that answer, identify the caller, understand the reason for the call in natural speech, and resolve it against live systems — replacing phone trees that customers press zero through anyway.
Booking, rescheduling and cancellation handled by voice against your real calendar availability, with confirmations and reminders that reduce no-shows. Common in clinics, home services and field operations.
Identity verification flows appropriate to your risk level, with sensitive digits captured securely and kept out of transcripts and model context — so recordings do not become a compliance liability.
Agents that detect and switch language mid-call and hold a natural accent per market, so you can cover languages your call centre could never justify staffing around the clock.
When the agent hands off, your rep receives the caller with a summary of what was said, what was verified and what was attempted. No repeating the account number for the third time.
Every call transcribed, scored against your quality rubric, and mined for the intents your agent handles badly — which becomes the roadmap for what to improve next.
Our Work
200+ products shipped across fintech, healthcare, e-commerce, and SaaS — built to scale, designed to convert.

Web Design
A marketing site for an interior design studio, rebuilt on Next.js to load fast on mobile and convert visitors into enquiries.

Healthcare
A patient management platform handling scheduling, records and clinician-patient messaging for a healthcare provider.

E-Commerce
A fitness e-commerce storefront built on Next.js with Shopify as the commerce backend and Stripe handling payments.

Logistics
A delivery management platform with live vehicle tracking, route planning and customer-facing shipment status.

Logistics
A freight management platform for an established trucking operator, covering load tracking and job records.

SaaS
A multi-tenant SaaS platform that aggregates business reviews across sources and surfaces them in one dashboard.
We budget every millisecond across speech recognition, model inference, tool calls and speech synthesis before writing the conversation logic. Voice quality is a latency problem first and a prompt problem second.
Real call transcripts drive the design — how people actually interrupt, correct themselves, trail off and change topic mid-sentence. Designing from a happy-path script produces an agent that collapses on the first real call.
Wired into your existing stack — Twilio, LiveKit, SIP trunking, or your contact centre platform — with number routing, call recording policy, and failover to a human queue if the agent stack degrades.
We test against background noise, heavy accents, poor lines, hostile callers and deliberate manipulation attempts before go-live, because all of those arrive in the first week of real traffic.
Live on a small share of calls first, with resolution rate, transfer rate, call abandonment and caller sentiment monitored against your human baseline. Traffic share increases only when the numbers hold.
FinTech
Rebuilt a real-time trading engine for 100K+ users — sub-50ms latency and 99.99% uptime.
Read case studyHealthcare
A HIPAA-compliant patient platform that has handled 200K+ consultations and cut consultation time by 60%.
Read case studyE-Commerce
Redesigned checkout and storefront for 2M+ monthly visitors, tripling revenue with 1.2-second page loads.
Read case studyPick platform, complexity, features and design level to get a 2026 price range and timeline.
Open toolTurn a start date into a dated, phase-by-phase plan with your earliest and latest launch dates.
Open toolTurn your idea into a clear project brief, then copy it, download it as .md or send it to us.
Open toolCommon questions about voice AI agent development — naturalness, disclosure law, poor audio conditions, sensitive data, telephony and cost.
Ask our teamCurrent speech synthesis is close enough that most callers do not immediately identify it as synthetic. What actually breaks the illusion is timing, not voice quality — a pause that runs a beat too long, or an agent that talks over an interruption. That is why we engineer the latency budget and barge-in handling first; a natural-sounding voice with sloppy turn-taking still reads as a machine.
In a growing number of US states and other jurisdictions, yes — disclosure requirements for automated callers are tightening, and several states now regulate this directly. We build disclosure into the opening turn by default and configure it per jurisdiction where your call routing spans regions. We will flag the specific rules that apply to your call patterns during scoping, though you should confirm the final position with your own counsel.
The agent detects low recognition confidence and adapts — asking for confirmation, offering to switch to SMS or callback, or transferring to a human. What it must never do is guess and act on a misheard instruction, so confidence thresholds are wired to the action risk: confirming a name is cheap, processing a payment on a misheard digit is not.
Sensitive digit capture is routed through a secure path that keeps the values out of transcripts, logs and model context entirely — the agent orchestrates the flow without ever seeing the number. This keeps recordings clean and materially reduces PCI scope. For healthcare deployments we apply the equivalent handling for protected health information.
Twilio, LiveKit, Vonage, SIP trunking, and the major contact centre platforms including Genesys, Five9 and Amazon Connect. We integrate into what you already run rather than replacing your telephony — the agent becomes another destination in your existing routing, so you keep your numbers, your recording policy and your reporting.
Per-minute cost combines speech recognition, model inference, synthesis and telephony, and it is meaningfully lower than a staffed minute in most markets. The honest caveat is that cost per resolved call matters more than cost per minute — an agent that is cheap per minute but transfers half its calls has not saved you anything. We instrument both.
Scheduling, status checks, after-hours overflow. Tell us the call type and we will scope a voice agent, or tell you if it is not ready for that one yet.