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Lists in. Pipeline out. AI voice agents that call your whole lead list — and every list your business must call.

Point it at the leads you’ve captured — imported, or sent straight from your stack. Vocapable calls each one, discloses it’s AI, qualifies interest against your rubric, books the interested, and documents the rest. Shift confirmations and CSAT surveys run on the same engine.

Runs on your captured, opt-in leads. Purchased lists are refused — always.

Your list, end to end

Watch a list become pipeline

This is the machine: your captured leads called, the protected ones refused with proof, the interested ones booked and opted in. Without hiring a single caller.

How a campaign runs: your list — imported or delivered by API, illustrative size 200,000 — is scrubbed through the eight-stage compliance gate before any dial; protected numbers are refused and suppressed, each refusal recorded. Cleared leads get a phone conversation that opens by disclosing it’s AI and is qualified against your rubric. Outcomes sort three ways: interested and opted in — booked to your calendar; not now — reason documented, compliant retry scheduled; protected — never called. Every call, made or refused, writes an exportable evidence file.

01 · The list

200,000 captured leads

Yours — opt-in, consent attested. Purchased lists are refused.

02 · The gate

Scrubbed before any dial

Eight stages, fail-closed. Protected numbers never ring — each refusal recorded.

  • NORMALIZE ✓
  • LINE_TYPE ✓
  • WIRELESS_PORTED ✓
  • RND ✓
  • FEDERAL_DNC ✓
  • STATE_DNC ✓
  • INTERNAL_DNC ✓
  • LITIGATOR ✓
  • REFUSED · never dialed

03 · The conversations

Every cleared lead gets a real conversation

Opens by disclosing it’s AI. Qualifies against your rubric. Answers from your product knowledge.

agent ▸ “Quick heads-up — I’m an AI assistant calling for Acme.”

synthetic transcript

04 · The outcomes

Sorted, delivered, provable

Interested leads become pipeline — webhooks fire, signups land, revenue follows.

  • INTERESTED · OPTED IN → booked
  • NOT NOW → documented, compliant retry
  • PROTECTED → suppressed, for good

data → scrub → call → qualify → pipeline → webhook → signup → paid ✓

call_evidence written · made or refused · exportable

Proven, per call

Illustrative scenario — your list, your rubric, your numbers.

One engine · three jobs

Point it at the calls your business needs made

Revenue teams: work every lead in seconds. Operations teams: call all your people at once. Same engine — it never gets tired.

Flagship · Qualified pipeline

Your list, called, qualified, booked.

Every name on your list gets a real conversation — the interested say yes to a demo built for their business, the rest leave reasons.

  • Lead-to-call time
  • Meetings booked
  • Show rate

Hear a cold call become a booked demo

Simulated demo · AI voices

0:45
Transcript
  1. agent ▸ “Hi Dale — being upfront, I’m an AI assistant calling for Crestway Software. We help trucking companies cut dispatch paperwork. Worth thirty seconds?”
  2. lead ▸ “Uh — go ahead.”
  3. agent ▸ “Who runs dispatch and invoicing today — is that all in-house?”
  4. lead ▸ “My office manager. Takes half her week, honestly.”
  5. agent ▸ “That’s the exact fit. Here’s my offer — we build a short demonstration around your operation, your lanes, your paperwork, and send it over. Fair?”
  6. lead ▸ “Yeah, I’d look at that.”
  7. agent ▸ “Done. And if it clicks, want to hold time with a specialist to walk through it — Tuesday morning?”
  8. lead ▸ “Tuesday after nine works.”
  9. agent ▸ “Booked, Tuesday at 9:30 — the invite’s on its way. Thanks, Dale.”
See the full motion →
A professional smiles at her desk as morning campaign results come in (Illustrative footage.)

Staffing · Fill shifts

Tomorrow’s roster confirmed tonight.

The whole candidate list called in one window — confirmations straight back to your ATS.

  • Fill rate
  • Time-to-fill
  • Response rate

Hear a shift confirmation

Simulated demo · AI voices

0:25
Transcript
  1. agent ▸ “Hi Marisol — quick heads-up, I’m the AI assistant calling for Acme Staffing. Just confirming: are you available Monday the 2nd, 7:00 AM, at Barkers Restaurant?”
  2. lead ▸ “Monday at seven… yeah, I can take that.”
  3. agent ▸ “You’re confirmed — I’m updating the roster as we speak. Address and check-in details land in your texts in a second.”
  4. lead ▸ “Perfect, thanks.”
  5. agent ▸ “See you Monday, Marisol — you’re on the schedule.”
Fill shifts, automatically →
A recruiter with a headset smiles while organizing tomorrow’s roster (Illustrative footage.)

CX · Measure satisfaction

CSAT at response rates email never sees.

Structured, scored phone surveys — verbatims captured word for word.

  • Response rate
  • CSAT / NPS
  • Verbatim coverage

Hear a CSAT survey call

Simulated demo · AI voices

0:30
Transcript
  1. agent ▸ “Hi Renee — quick heads-up, I’m the AI assistant calling for Lakeside Dental. Two questions about yesterday’s visit — thirty seconds, promise.”
  2. lead ▸ “Sure, that’s fine.”
  3. agent ▸ “Zero to ten — how likely are you to recommend us?”
  4. lead ▸ “Honestly? A nine. The front desk was great.”
  5. agent ▸ “Love that. Anything we should do better next time?”
  6. lead ▸ “Maybe shorter wait after check-in — fifteen minutes felt long.”
  7. agent ▸ “Captured word for word — that goes straight to the team. Thanks, Renee.”
See the full motion →
A customer at home answers a call with a genuine smile (Illustrative footage.)

Every published sample opens with the AI disclosure — exactly as your customers hear it.

From your list to live calls

Your first campaign is five steps, not a project

You’ve seen the machine run. This is how you start it — the same five steps founder-led onboarding walks with you. No flow builders. No prompt-engineering degree.

  1. 1

    Start from a template

    Lead qualification, shift confirmation, CSAT — structured objectives, not a flow-builder maze.

    Agent template

    lead_qualification

    Speed-to-lead qualifier

    Structured objectives, not a flow-builder maze. The template already knows the job.

    • objective: qualify against your rubric
    • objective: book the meeting in-call
    • guardrail: answer only from your knowledge
  2. 2

    Make it yours

    Persona, objectives, your product knowledge, your voice. Knowledge packs turn your site, docs, and pricing into what the agent actually says.

    Knowledge pack

    compiled
    • your site
    • your docs
    • your pricing
    • your FAQ

    persona

    Warm, direct, sounds like your best rep — your voice, your vocabulary, your rules of engagement.

  3. 3

    Hear it

    Call your own phone before any customer does. Iterate until it sounds like your best rep.

    Test call

    your phone rings first

    opening line — plays before the first response, always

    “Hi — this is an AI assistant calling on behalf of your company. This call may be recorded…”

    The AI disclosure is enforced in code — it is structurally impossible to remove, on every plan. Iterate on the voice until it sounds right, then launch.

  4. 4

    Launch

    Bring your list — import it, or send contacts through the API — with a consent attestation; review the scrub report, acknowledge, go.

    Pre-dial scrub

    fails closed

    Eight-stage pre-dial compliance scrub, run in order before any number is dialed. A stage that cannot complete blocks the call — uncertainty never resolves in favor of dialing.

    1. NORMALIZE
    2. LINE_TYPE
    3. WIRELESS_PORTED
    4. RND
    5. FEDERAL_DNC
    6. STATE_DNC
    7. INTERNAL_DNC
    8. LITIGATOR
    +1 ••• ••• 4821 · on the federal registry REFUSED · evidence recorded

    scrub report → reviewed & acknowledged cleared list proceeds

  5. 5

    Outcomes land

    Boards, webhooks, CSV, and your CRM — plus an evidence file for every call.

    Live call → structured outcome

    synthetic transcript
    • agent ▸ “What’s pushing you to look at this now?”
    • lead ▸ “We miss inbound leads on nights and weekends.”
    • agent ▸ “That’s exactly the job. Does Thursday 10:30 work for a walkthrough?”
    • lead ▸ “Thursday works.”
    outcome: meeting_booked · Thu 10:30
    M T W T F

    → SMS confirmation delivered

    → synced to CRM as structured data

    → evidence file written · exportable

Metrics reported live, per campaign: Lead-to-call time, Contact rate, Qualification rate, Meetings booked, Show rate, Pipeline value handed to CRM, Fill rate, Time-to-fill, Response rate, Confirmation SMS delivery, CSAT / NPS, Verbatim coverage, Cost per outcome.

From calls to numbers

No invented numbers — yours, live

Other sites lead with stats you can’t check. We show the instrument panel instead: every metric here is computed on your campaigns and reported live, with cost per outcome on all of them. The funnel above ends in whatever these instruments read. That’s the claim — and it’s the only one we make.

Speed-to-lead

  • Lead-to-call time
  • Contact rate
  • Qualification rate
  • Meetings booked
  • Show rate
  • Pipeline value handed to CRM
  • Cost per outcome

Shift filling

  • Fill rate
  • Time-to-fill
  • Response rate
  • Confirmation SMS delivery
  • Cost per outcome

Customer surveys

  • Response rate
  • CSAT / NPS
  • Verbatim coverage
  • Cost per outcome

From numbers to your tools

Outcomes land where your team already works

Calendar booking

Meetings booked in-call on your reps’ real calendars — Google and Microsoft — with the invite in the prospect’s inbox before hangup.

SMS follow-up

Confirmations and recaps by text, so every voice outcome has a written trail the contact can act on.

Webhooks & API

Every outcome delivered to your CRM or ATS as structured data — webhooks for real time, CSV for everything else. And it runs both ways: your stack can drive Vocapable through the same API the dashboards use.

The proof, per call

Growth that survives scrutiny

Every dot in that funnel is a phone call to a real person — which is exactly why some are refused. Vocapable writes the file either way: what ran, what blocked, what was said, what booked. When counsel asks, you hand them the export.

call_evidence cev_01J9…K7Q

Synthetic data

scrub_report
8/8 PASS
ai_disclosure
played · before first response
consent
PEWC · your web form
outcome
meeting_booked · Thu 10:30 AM
delivery
calendar invite + SMS sent

Exportable evidence

call_evidence cev_01J9…M2X

Synthetic data

scrub_report
STOPPED · stage 5/8 FEDERAL_DNC
dial
REFUSED — never placed
list_row
suppressed
evidence
recorded · exportable

A stage that did not run never reads as a stage that found nothing.

Refused — and proven

Compliance in code

Every dial passes a pre-dial scrub that fails closed. Quiet hours, frequency caps, and the AI disclosure are enforced upstream of anyone’s intent — the illegal call is made impossible, not discouraged.

An evidence file for every call

Every call the platform makes — or refuses to make — produces an exportable evidence record. When counsel asks, you hand them the file.

One invoice

A published rate card and one bill. The compliance floor is on every plan at $0 — baseline scrubbing is never a paid add-on.

Your CRM — or ours

Workspace

Send us your data — CSV or API — and run everything from the dashboards: contacts, campaigns, boards, outcomes. Vocapable is your calling system of record.

Headless

Keep your stack as the system of record. Drive calls through the /v1 REST API with your own Twilio; outcomes return by webhook. No bulk upload — send each contact as you dial it.

Same engine, same compliance floor, same pricing — every surface above runs on the same API and webhooks your engineers will use. Public docs at GA.

A published rate card. Start for $49, credited.

Three workload classes with real numbers on the page — from $299/mo — plus prepaid capacity blocks and a calculator that runs on your inputs. One invoice, $0 implementation fee, and the compliance floor is $0 on every plan.

See pricing

Your list is sitting there. Call it.

The sandbox is $49, credited against your first invoice: your real use case, your real material, your agent calling your own phone — before anyone signs anything.