Roark

Roark

Roark is a quality platform for voice and chat AI that simulates agents against hundreds of scenarios before launch and scores every production call using audio-native models across 64+ metrics to catch, validate, and verify fixes for voice AI agents.

Roark is ai voice agents software teams evaluate for voice & speech. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Contact for pricing API 70/100
One of 98 tools in Voice & Speech
Added 1 year ago
Data reviewed Jul 15, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Voice & Speech

What it does

AI Voice Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

Voice & Speech

Pricing snapshot

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Next step

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Roark is a quality platform for voice and chat AI agents that provides a closed improvement loop: it catches issues on live calls, simulates fixes in staging against hundreds of realistic callers, and verifies metric improvements on subsequent production calls. The platform runs purpose-built audio models on every call (not just transcript-based LLM grading) and reports 64+ audio-native metrics such as pronunciation, empathy, resolution, emotion, pauses, and latency. Roark targets teams and enterprises operating voice agents across regulated and high-stakes industries and offers SDKs, a REST API, CI/CD hooks, and integrations to validate agents before and after deployment.

Roark is a platform to test, monitor, and improve voice agents by tracking call metrics, running evaluations, and stress-testing agents with simulated callers across accents, languages, and speaking styles for continuous improvement.

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Key Features

Simulation testing

Run agents against hundreds of simulated callers (realistic personas, accents, background noise and edge cases) to find failures before launch; includes scenarios & personas, 45 languages & accents, and load/health tests.

Live call scoring & monitoring

Scores every live call as it lands, files issues, fires alerts, and provides dashboards and OTEL traces for voice calls and chat threads.

Audio-native models & 64+ metrics

Purpose-built audio models measure pronunciation, accent clarity, emotion, vocal stress, pace & pauses, interruptions, as well as higher-level measures like empathy, task success, resolution, compliance and more.

Pre-launch CI quality gates

Run the full test suite on every prompt or model change before merge; provides conversation-focused quality gates (pre-launch suite results and failures).

SDKs, REST API & webhooks

Client SDK (example Node quickstart shown), Python support, and a REST API for CI/CD and instant webhooks when a call is scored.

Integrations & custom stacks

Works with Vapi, Retell, LiveKit, Pipecat and custom stacks to ingest calls and recordings.

Enterprise security & compliance

Enterprise-ready controls including SOC 2 Type II, HIPAA BAA availability, annual penetration testing, SSO/SAML, role-based access, and configurable retention.

Pricing

Current pricing details are not available from the vendor source.

Use Cases

Pre-launch validation

Simulate hundreds of realistic callers (accents, noise, edge cases) to validate agent changes and prevent regressions from reaching production.

Continuous production monitoring

Score every production call to catch failures in real time, file issues, and alert teams to regressions or compliance lapses.

Compliance and safety scoring

Automatically evaluate disclosures, identity checks, and PII exposure on customer calls to maintain compliance across regulated industries.

Evidence-backed fixes

Prove fixes by replaying changes in simulation and verifying metric improvements on live calls, providing auditable evidence of remediation.

Integrations

Vapi

Works with Vapi as an ingestion/source platform for calls.

Retell

Integrates with Retell for call and conversation handling.

LiveKit

Compatible with LiveKit for real-time audio streaming ingestion.

Pipecat

Supports Pipecat as part of a custom stack integration.

Custom stack

Supports ingestion from your custom telephony or recording stack via SDK, REST API, or one-click platform connectors.

Benefits

Catch and file production issues automatically so teams can prioritize what breaks in real time.
Validate and prove fixes in simulation before deployment, reducing customer-facing incidents.
Measure audio-native aspects (pronunciation, emotion, pauses) that transcript-only evaluations miss, improving agent quality and compliance.

Limitations

No verified limitations are available.

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Step 1: Create an account or book a demo to see your agent scored live (Book a demo from the site).
  2. 2 Step 2: Install an SDK (Node or Python) or call the REST API and provide a recordingUrl or streaming platform integration.
  3. 3 Step 3: Send a recording or enable production streams; view scored calls, dashboards, and CI/CD/webhook results in seconds.

Support

email

[email protected] — indicated on the site as the contact for fast replies.

docs

Documentation and API reference are linked from the site (Documentation · API reference · Changelog · Status).

demo

Book a demo from the site to see live scoring with your recordings.

API

Available: Yes
Documentation:

API reference and documentation linked from the site (Documentation · API reference)

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