# Your concierge takes a booking in 45 languages.

Guests call from a loud lobby, in Gulf Arabic, Brazilian Portuguese, or South Indian English — and they want a king suite, late checkout, and to feel welcome. Roark scores every call on the audio: accent clarity, warmth, the booking detail, the upsell.

Backed by YC

Live · scoring every call 1,284 today

## Here's how a guest call goes wrong.

Each one is a botched booking, a guest who felt unwelcome, or revenue left on the table — and most are inaudible to a tool that only reads the transcript.

### The accent it could not parse

Caller: I want a room for the thirtieth of Ramadan.

Agent: I'm sorry, did you say the thirteenth?

A Gulf Arabic or South Indian English caller is misheard, the date flips, and the booking is wrong from the first turn. Accent breakdown is an audio failure a transcript-only tool reads as a clean exchange.

### The wrong room, confidently confirmed

Caller: Two queens, non-smoking, two nights.

Agent: Confirmed — one king, smoking, for two nights.

The agent read back the wrong details with total confidence. Roark checks the confirmed booking against what the guest actually asked for, every call.

### Warm request, robotic reply

Caller: It's our anniversary — can you do anything special?

Agent: Anniversary noted. Is there anything else.

The words were fine; the delivery was cold and flat on the one call that should have felt personal. The audio model scores warmth and emotion the text can never show.

### The suite it never offered

Caller: Do you have anything with a view?

Agent: Yes, our standard rooms face the courtyard.

A clear buying signal, and the agent never offered the ocean-view suite or late checkout. Roark scores whether the agent surfaced the upgrade the guest was reaching for.

### Drowned out by the lobby

Caller: ...checking in under Okafor, party of four...

Agent: Sorry, could you repeat the name three more times?

Background noise from a packed lobby buried the guest, and the agent collapsed into repeat-loops instead of recovering. Roark scores noise robustness and ASR accuracy on the real audio, not the cleaned-up transcript.

## Roark catches every one of these — and proves the fix.

Each failure above is filed with its evidence, becomes a repeatable simulation until a candidate passes, and is verified on your next thousand live calls.

### Catch

The ledger above — every failure filed live, evidence attached.

### Simulate

Your fix, replayed against the exact failures above.

### Review

Every change explicit and diffed — you apply it.

### Verify

You ship — Roark confirms the metric moved on live calls.

### Simulate before launch

Run your agent against hundreds of simulated callers (realistic personas, accents, background noise and edge cases) and get every conversation scored before a customer ever dials in.

### Scenarios & personas

Hundreds of simulated callers (the angry one, the rambler, the interrupter) built from your real call types.

### 45 languages & accents

Native accents, code-switching and background noise, in every market your agent answers.

### 500+ metrics out of the box

### Get started

First call scored in under a minute.

One click on any platform below and production calls stream in on their own, or send any recording with a few lines of code.

```typescript
import Roark from '@roarkanalytics/sdk'

const client = new Roark({ bearerToken })
await client.call.create({
  recordingUrl, startedAt,
  interfaceType: 'PHONE',
  callDirection: 'INBOUND',
  agent: { customId: 'support_v2' },
}) // scored in seconds
```

## Bring a recording.   We’ll score it live.

See your own agent measured on the audio it actually produced, in the demo, in real time. Stop guessing whether your voice AI works.