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Voice & turn-taking

Voicemail detected.In 1.2 seconds.

Finn distinguishes human pickup from machine in under 1.5 seconds. Drop silently, leave a templated message, or schedule a retry — your choice, per workflow.

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30-minute free trial. No card. No procurement.

<1.5sDetection latency
97%Accuracy
3 modesDrop / leave / retry
Per-workflowTemplated messages

How it works

Listen.Classify. Act.

Drag, wire, deploy. Each step is reversible — every save creates a versioned snapshot.

01 / 03

Real-time audio classification

Acoustic + cadence model detects machine greetings in the first ~1.2 seconds. Tuned across US + international voicemail systems.

Deployment analyticsSub-second voice loopHealthy

p50

384ms

p95

412ms

p99

538ms

ASRDeepgram Nova 2 streaming
84ms
LLMGPT-4o function-calling pass
192ms
TTSElevenLabs streaming synthesis
96ms
Last 24h · 12,840 calls384ms avg
02 / 03

Pick the policy

Drop silently (preserve retry budget), leave a templated message after the beep, or mark for callback scheduling.

Healthcare ReceptionistWorkflow editorDraft
Deploy
Greet callersay
Capture intentcapture
Booking branchbranch
Calendar.book()function
Transfer to agenttransfer
5 nodes · 4 connections · 2 variables↓ saved 12s ago
03 / 03

Log + adjust

Per-call detection event logged. Aggregate dashboard shows machine-rate per campaign so you can tune dial windows + retry logic.

DashboardLive
Export

Calls today

12,840

+8.1%

Pickup rate

94.2%

+1.4%

Avg sentiment

+0.71

+0.08

Talk minutes

48,212

+12.0%

Call volume · last 30 days

Completed Missed
Apr 23May 7May 22

Tuned for real outbound

Detect early.Act decisively.

No bolt-ons. No second platform. Every primitive ships with the editor.

Sub-1.5s detection

Decision made before the greeting finishes — no awkward 'hello hello hello' from Finn.

Beep-aware delivery

When leaving a message, Finn waits for the beep — no clipped intros.

Configurable per workflow

Sales campaigns drop voicemail. Collections leave a compliance-required notice. Same engine.

Retry-budget aware

Drops don't burn a retry. Beeped messages do. All policy-driven.

Shipped in production

Real teams, real outcomes.

Call abandonment down to 5% from ~30%. 75-80% of inbound calls fully handled by Finn. 24/7 AI coverage replaced 80+ offshore agents.
Shikha Chouksey

Shikha Chouksey

COO & Cofounder, Orbit Wallet · Orbit Wallet

Trust + ecosystem

Plugs in. Audits clean.

Wires into your existing stack via 100+ connectors. Compliant from day one across the workloads that demand it.

Twilio logoTwilioPlivo logoPlivoSalesforce logoSalesforceHubSpot logoHubSpotZapier logoZapier

Don't see yours? Finn plugs into any system via REST + webhooks.

AuditedSOC 2 Type IIHIPAA BAAGDPRISO 27001DPDPNIST CSF

FAQ

Questions and answers.

How accurate is voicemail detection?+

~97% accuracy in the steady state across US + major international carriers. Continuously retrained on edge cases (carrier-specific greetings, foreign-language voicemail systems).

What's the detection latency?+

Under 1.5 seconds in 95% of cases. Finn won't speak until the classification settles, so the caller never hears overlapping greetings.

Can I leave different messages per campaign?+

Yes — per-workflow templates with variable merging. Sales template, collections template, appointment-reminder template, all separately versioned.

What happens when detection is uncertain?+

Configurable per workflow — default is to treat as human (better caller experience). Can be flipped to skip+retry for high-volume outbound.

Does this affect retry budgets?+

Silent drops don't consume a retry. Voicemails left after the beep mark the contact as 'reached' so they don't get re-called the same day.

Stop wasting dials

Detect machines.Reach humans.

Voicemail detection runs on every outbound dial. Configurable behavior per campaign. No more half-cooked messages mid-greeting.

Book a demo30-min trial · No card