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.
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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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Roark
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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Claim this listing for $29Key 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
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Create an account or book a demo to see your agent scored live (Book a demo from the site).
- 2 Step 2: Install an SDK (Node or Python) or call the REST API and provide a recordingUrl or streaming platform integration.
- 3 Step 3: Send a recording or enable production streams; view scored calls, dashboards, and CI/CD/webhook results in seconds.
Support
[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
API reference and documentation linked from the site (Documentation · API reference)
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