Your FNOL agent quoted a deductible that does not exist.

Claims, FNOL, quotes and renewals run on exact coverage facts, state-required disclosures, and a human voice for someone who just totaled their car. Roark scores every call on the audio — and fails the ones that get the policy wrong.

Backed by YC

Live · scoring every call 1,284 today

Here's how a policy call goes wrong.

Each one is a bad-faith exposure, a misquoted premium, or a missed fraud cue — and most are inaudible to a tool that only reads the transcript.

The deductible that does not exist

Caller: What's my deductible if I file?

Agent: Looks like $250 on this policy.

Stated with total confidence, never checked against the policy — the real number is $1,000. Roark flags coverage assertions that were never verified against the record.

The skipped recorded-line disclosure

Caller: I need to report an accident.

Agent: Sure — let's get the details.

The required recorded-line and claims-handling notice was never read on a recorded call. Roark scores disclosure language as pass/fail on every call.

Cold voice on a claimant in crisis

Caller: My house flooded, everything is gone.

Agent: Okay. What is your policy number?

The words were procedurally correct and the delivery was flat. The audio model scores warmth and the vocal stress in the claimant the transcript can never show.

The missed fraud cue

Caller: The flood was Tuesday — wait, no, before I bought the policy.

Agent: No problem, I will start the claim.

The caller contradicted their own loss date and the agent moved on. Roark flags inconsistency and fraud-signal cues the agent should have escalated, not processed.

The wrong coverage on renewal

Caller: Does this still cover water backup?

Agent: Yes, that is included on your plan.

It was dropped at last renewal. A wrong coverage answer becomes a denied claim and a bad-faith complaint months later. Roark fails unverified coverage confirmations.

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.

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

02 · Simulate Your fix, replayed against the exact failures above.

Testing your candidates 161 / 240

03 · Review Every change explicit and diffed — you apply it.

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

Break it in staging, not in production.

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.

Red teaming

Adversarial callers that try to break it (prompt injection, jailbreaks, social engineering) so your agent holds policy under attack.

45 languages & accents

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

Load & health tests

Peak-volume concurrency and always-on health checks, so the agent that passed in staging survives launch day.

Regression testing

Rerun the whole suite on every change and diff it against your last green baseline, so fixing one caller never breaks another.

Run it in CI

Every prompt or model change runs the suite before it merges: quality gates for conversations, not just code.

500+ metrics. Your models, not just an LLM.

Every production call scored as it lands: issues filed, alerts fired, dashboards and OTEL traces on tap, for voice calls and chat threads alike. And where most tools grade a transcript with an LLM, Roark runs purpose-built audio models on the call itself, measuring what your customer actually heard.

Accuracy & compliance

• Coverage accuracy
• Disclosures
• Quote accuracy
• Fraud signals
• Script adherence

Audio-native custom models

• Empathy
• Vocal stress
• Pronunciation
• Accent clarity
• Pace & pauses
• Interruptions

Conversational LLM + rules

• Task success
• Hallucination
• Repetition
• Tone
• De-escalation

Performance

• Time-to-first-word
• Turn latency
• ASR WER
• Barge-in handling

500+metrics out of the box

∫custom metrics, your rules

Audio + LLM models on every call

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.

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

Also built for

[**Finance**
Verify before you disclose, never expose an account number, and read the disclosure your regulator wrote.
Explore→](/content/industries/finance/index.html) [**Healthcare**
Say the drug name right, verify before PHI, and never sound like a robot to a scared patient.
Explore→](/content/industries/healthcare/index.html) [**Customer Support**
Resolve it for real, escalate cleanly, and hear the frustration the transcript hides.
Explore→](/content/industries/customer-support/index.html)

Roark checks state-required claims disclosures, recorded-line notices and TCPA consent language as pass/fail on every call — configurable retention and redaction for claimant PII.