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Vocalytic

Understand every conversation — even when two languages are spoken in one breath. Vocalytic listens to a call, a meeting or a brainstorm in mixed Urdu + English, works out who said what, and turns it into a clean transcript, an English translation, minutes and a build-ready spec — the always-on ear a quality team and a scribe can't be.

Live Speech + Voice ID Runs on-device AI Autonomous Digital Employee Human-in-command
Languages
UR+ENHandles both in one sentence
Transcribe
~14sFor a 42-second clip
Privacy
On-deviceAudio never leaves the box
Pipeline
6Stages, end-to-end
The way it works today

What happens to a conversation right now.

Calls, meetings and brainstorms carry the truth about your customers, your team and your next product — but almost none of it is captured. Each conversation follows the same leaky path, and by the end the insight is simply gone.

Calls and meetings happen

Calls & meetings happen

Every call, meeting and brainstorm carries the truth — spoken once, out loud.

A small sample is reviewed

A 2% sample, maybe

A QA team spot-checks a handful of calls a week; the rest is never reviewed.

98% never heard
Notes scribbled by hand

Notes by hand

Decisions and action items live in someone's memory — half the room is missed.

misses things
Most calls never heard

Most calls never heard

No one person can listen to everything, so the queue simply outruns them.

no coverage
Insight is lost

Insight is lost

The best idea of the quarter — and the compliance line that mattered — vanish when the call ends.

What it costs

Your biggest dataset is the one nobody logs.

01 — Unheard

About 98% of calls are never heard.

A QA team spot-checks a handful of calls a week. Every angry customer and every missed compliance line in the other 98% goes unreviewed — the truth about your customers, left on the floor.

02 — Missed

Hand-written notes miss what matters.

Decisions and action items live in someone's memory. By next week nobody agrees on what was actually agreed — and the best idea from the brainstorm is already gone.

03 — Inconsistent

No consistent view of quality.

With only a fraction of conversations sampled, there is no fair, like-for-like picture of how calls actually go — and real conversations are code-switched Urdu and English that off-the-shelf tools garble.

The autonomous way

An ear on every conversation. A scribe that never blinks.

Vocalytic listens to a call, a meeting or a brainstorm in mixed Urdu + English, works out who said what, and turns it into a clean transcript, an English translation, minutes and a build-ready spec — speech and voice ID running on your own hardware.

WATCH
Watch

Hears every call

Every call, meeting and brainstorm — in mixed Urdu + English — captured the moment it happens, at 100% coverage.

REASON
Reason

Identifies who said what

A voiceprint matches each turn to a name, with a confidence score; an unmatched voice stays Unknown — it never guesses.

ACT
Act

Summarises & builds the spec

Translates to English, writes a faithful summary, and turns a spoken brainstorm into a build-ready spec.

REPORT
Report

Minutes & scorecard

Delivers minutes, action items and a quality scorecard — human-in-command before anything is scored or sent.

Old way vs the AI Autonomous Digital Employee

Same conversations. A different league.

A QA analyst & scribe
Vocalytic
CoverageMaybe a ~2% sample is ever reviewed.
Coverage100% of calls heard — every conversation, the moment it happens.
SpeedHours of listening and note-taking per call.
Speed~500× faster — a 42-second clip named and translated in about 14 seconds.
LanguagesOff-the-shelf tools garble code-switched speech.
LanguagesMixed Urdu + English today, handled in one sentence — more languages over time.
AccuracyA tired ear, guessing who spoke.
AccuracyConfidence scores on every match — an unmatched voice stays Unknown; it never guesses a speaker.
AvailabilityOffice hours, sick days, backlog.
Availability24/7 — every call heard the moment it happens.
CostA QA analyst and a meeting scribe.
Cost≥50% less — a fraction of the human seat it stands in for.
See it live · the session workspace

One screen for the whole conversation.

Session · "Water storage management" 2 speakers · auto-identified
TranscriptTranslationSummaryMinutesQuality scorecard
AY
AyeshaMATCHED · 0.7100:04
So the core idea is a smart tank controller — pani ka level automatically monitor kare, aur logging bhi ho.
BL
BilalMATCHED · 0.6800:12
ہاں، اور جب لیول لو ہو تو پمپ خود on کر دے، اور چیٹ پر الرٹ بھیجے۔
AY
AyeshaMATCHED · 0.7100:20
Exactly. And we predict shortages before they happen — usage history se.
?
UnknownBELOW THRESHOLD00:27
Never guesses a speaker — an unmatched voiceprint stays Unknown.
Auto-summary · what was decided

A smart water-tank controller that monitors level, auto-runs the pump on a low threshold, sends a chat alert, and logs usage to forecast shortages.

Build-ready spec · extracted

Problem · manual tank checks, dry-runs.
First build · level sensor + pump relay + alert.
Later · usage forecast, multi-tank.
Open Q · sensor hardware?

This is the shipped pipeline, run on a real recorded conversation. A voiceprint is enrolled for each speaker, the audio is transcribed and matched to names on your own hardware, code-switched English is restored to normal spelling while Urdu stays Urdu, and our AI engine then translates, summarizes, polishes and scores — every output kept side by side so you can always trace a conclusion back to the words that were actually said.

Team dashboard
Calls analyzed
1,248
100% coverage
Avg satisfaction
4.6/5
across every call
First-call res.
68%
of calls, no callback
Billing issues35%
Refunds28%
Product info18%
Tech support12%
Agent scorecard
4.3
Agent · sample
142 calls · this month
Communication4.6
Empathy4.2
Resolution4.4
Compliance4.1
Hold time4.0
Why an AI Autonomous Digital Employee beats a seat

Software advantages, stated plainly.

~500×
Faster — a 42-second clip named and translated in about 14 seconds.
≥50%
Lower cost than the QA analyst and scribe it stands in for.
24/7
Always on — every call heard the moment it happens.
100%
Coverage — every conversation reviewed, not a ~2% sample.
What this AI Autonomous Digital Employee does

Everything Vocalytic does for you.

The voice-to-spec pipeline

Proven end-to-end on real recorded conversations.
  • Speaker ID + transcription — a voiceprint matches each turn to a name while our speech engine transcribes mixed Urdu + English in about 14 seconds for a 42-second clip, on modest on-site hardware. Uncertain voices stay Unknown.
  • Code-switch restore — English words that came through in Urdu script are put back into normal spelling; Urdu stays Urdu. Works on text alone.
  • Transcribe → translate → summarise → spec — our AI engine turns the transcript into an English version, a faithful summary and a build-ready brief.
  • On-device audio, text-only off-device — speech and voice ID run on your own hardware; only transcript text is ever processed off-device.
  • Web workspace + live recording — enroll, upload or record in the browser, then watch the named transcript, right-to-left Urdu bubbles and output tabs fill in as the work completes.

The analysis & observability layer

Scoring, sentiment and quality metrics across every conversation.
  • Call-QA scoring — score every agent against a rubric (communication, empathy, resolution, compliance) and flag missed disclosures.
  • Sentiment & minutes — gauge customer sentiment and escalation risk, and extract decisions, owners and follow-ups from any meeting.
  • Quality dashboard — 100% coverage: satisfaction, first-call resolution, handle time, topic and sentiment trends across the whole team.
  • Autonomous & real-time — hands-free "finished" triggers, live captions, auto-follow-ups, alerts and CRM / helpdesk / calendar integrations.

Vocalytic transcribes, translates and summarises real audio, with speakers named on-device, and layers scoring, sentiment and quality dashboards on top — human-in-command before anything is scored or sent.

The AI crew

Four AI Autonomous Digital Employees, on every conversation.

Each agent owns a slice of the work a quality team and a scribe do by hand — human-in-command before anything is scored or sent.

Scribe AI Autonomous Digital Employee

CAPTURE · MINUTE

Transcribes every call and meeting, identifies who said what, then drafts the minutes — decisions, action items and owners.

Auditor AI Autonomous Digital Employee

SCORE · COACH

Rates every call against your rubric and writes the feedback tip — quality review at 100% coverage, not 2%.

Pulse AI Autonomous Digital Employee

SENSE · FLAG

Gauges customer sentiment and escalation risk turn by turn, and raises a flag on anger, churn cues or a compliance breach.

Forge AI Autonomous Digital Employee

IDEATE · SPEC

Turns a spoken brainstorm into a build-ready spec — problem, first build, nice-to-haves, open questions — ready for the Lab.

Before we build — the Contract of Success

We agree the number in writing, first.

No AI Autonomous Digital Employee is "done" until it hits an agreed target on your real work. Here's the shape of the contract we'd sign for this role.

Baseline todayOnly a handful of calls reviewed by hand; most never scored
Target100% of calls transcribed, summarised and scored automatically
AcceptanceScores match your reviewers on a graded sample; QA lead signs off
Proven in production: KPI met people adopt it passes evaluations

Illustrative example. Your real baseline, target and acceptance criteria are set together, from your data, before any build begins.