Vector Voice
Voice agents that hold the line.
Real-time voice agents with ~600ms turn latency, natural turn-taking, and live function calling against your systems. Every release is QA’d against the edge cases that break demos in production.
Vector Voice · live call
Caller
Nora P.
+1 (***) 0421 · returning
Agent
Front-desk AI
v2.4.0 · clinic preset
Tools wired
- lookupAccount
- checkAvailability
- reschedule
- transfer
Transcript · live
en-US · barge-in onHi, I need to reschedule my appointment for tomorrow.
Of course — let me pull up your account. One moment.
612ms · turn
patient_id=p_1842
Got it. I see your 9 AM with Dr. Lin. What time works better?
588ms · turn
Anything Wednesday afternoon if possible.
wed · pm · provider=lin
I have 2:30 PM Wednesday. Want me to move it?
624ms · turn
Yes, please.
apt_8821 → wed 14:30
Done. You'll get a confirmation text shortly.
597ms · turn
Latency · last turn
612ms
target ≤ 700ms
Waveform
~600ms
p50 turn
Live
function calling
Barge-in
natural turn-taking
Tested
against real edge cases
In production
Powering Breeze AI at InnovateHealth.
A live voice front desk for clinics — built on Vector Voice, deployed at a real clinic in Texas, answering every call 24/7.
Customer
InnovateHealth
Made in Texas
Healthcare operations · clinic-tested · HIPAA-aware
A voice front desk that answers every call — even at 2 AM.
InnovateHealth uses Vector Voice as the engine behind Breeze AI: the voice front desk that handles inbound calls, classifies intent (booking, prescription, billing, urgent), and routes to staff for the calls that need human judgment. Built and tested inside a real clinic — Blessings Medical Clinic — before any of it shipped to other practices.
“We didn't start with a pitch deck. We started with a clinic that was drowning in missed calls and manual intake. We needed a voice agent that worked in production on day one.”
Dr. Nikhil Gohokar · Founder, InnovateHealth
100%
calls answered
↓40%
no-show rate
~45h
staff time saved / wk
Healthcare-grade
HIPAA-aware by design
Vector Voice is engineered to handle PHI safely: BAAs in scope, encrypted transcripts, masked sensitive fields, and configurable retention. We don't claim certifications we don't hold — we build to the controls that matter and let the auditor sign off.
US delivery · SOC 2 roadmap
Built and supported from the US.
An engineering anchored in the US (Houston-based) with India follow-the-sun depth. SOC 2 Type II is on the roadmap with a target audit cycle in 2027 — we'll publish progress on the security page as we go.
Capabilities
What you get out of the box.
Built and operated by engineers — not handed over as a config screen.
Sub-second turns
Tuned end-to-end for ~600ms turn latency on real telephony — fast enough to feel like a person, not a slow IVR.
Live function calling
Agents look up accounts, schedule, and act on your APIs mid-conversation — not after the call ends.
Natural turn-taking
Barge-in handling, silence detection, and disfluency tolerance so callers can interrupt, change topic, and be heard.
Edge-case QA
Each release runs against an evolving suite of accents, mishears, mid-call transfers, and adversarial inputs before it ships.
Telephony + web ready
SIP/PSTN through your provider of choice, plus WebRTC for in-app voice. Same agent, both surfaces.
Recordings, transcripts, evals
Every call is captured with structured transcripts and per-turn metrics — feeding evaluation, not just storage.
Edge cases · QA
Tested against the calls that break demos.
Most voice agents work in the demo. Production is different. We drill against the calls real customers actually make.
QA · 01
Heavy accents
Tested across 30+ accent profiles, not just American English.
QA · 02
Mid-call topic switch
Caller changes subject mid-utterance. Agent follows.
QA · 03
Crying / distressed callers
De-escalation routing. Hard limits on what AI handles.
QA · 04
Background noise
Cars, ambient, multiple voices. Agent stays on the speaker.
QA · 01
Long pauses
Disfluency tolerance. Doesn’t step on the caller mid-thought.
QA · 02
Adversarial inputs
Prompt injection from caller speech. Boundaries hold.
QA · 03
Telephony quirks
Echo, codec compression, dropped audio — handled in the loop.
QA · 04
Mid-call transfer
Hand-off with full context. No "let me put you on hold."
How it works
From scope to live calls.
Define
We map the conversation, the systems it must touch, and the failure modes that matter (compliance, escalation, refunds).
Wire
The agent is wired to your telephony, CRM, and tools. Function calls are typed, validated, and rate-limited.
Drill
A engineer runs the agent through scripted and adversarial flows until edge cases are covered, not just the happy path.
Operate
We monitor live traffic, review failures, and tune. Regression tests grow with every incident — not a launch-and-leave.
Use cases
Where teams put it to work.
01
Inbound support & triage
Front-line agents that handle routine calls, capture intent, and escalate cleanly with full context to a human.
02
Outbound follow-ups
Appointment confirmations, renewals, and re-engagement calls that respect quiet hours and consent.
03
In-app voice
WebRTC voice copilots inside your product — the same agent on the phone, but lower latency and richer context.
Frequently asked
Honest answers.
No certification claims, no marketing fluff. If we don’t do something, we say so.
No. We tune for natural prosody, barge-in, and disfluency. Most callers don’t realize they’re talking to an agent until they’re told.
Get started
Talk to the team behind Vector Voice.
A 30-minute call with a engineer, not a sales rep. Bring a real call flow; leave with a deployment plan.