Roark

Ship Voice AI Changes with Confidence

Paid

Description

Roark is a comprehensive platform designed to assist teams in developing and deploying voice AI systems with greater confidence and speed. It allows users to simulate real customer call scenarios, providing a robust method for testing modifications to voice agents before they are implemented live. By accurately replaying actual production calls, complete with nuances such as pauses, changes in tone, and stutters, Roark helps in identifying unusual edge cases and meticulously tracking improvements over successive iterations, thereby ensuring the voice AI operates reliably across a wide range of interactions.

In addition to its testing capabilities, Roark delivers extensive monitoring and evaluation tools. These include enterprise-level transcription services supporting over 50 languages, real-time analysis of sentiment and emotion, tracking of significant conversational events, and automated evaluation of whether predefined goals were achieved during calls. Through customizable reports, visualizations of user funnels, and analysis of common interaction paths, Roark empowers users to convert raw call data into actionable intelligence, facilitating continuous optimization of their voice AI for enhanced customer experiences. The platform also offers streamlined integration, with no-code options for popular services like VAPI and Retell, alongside an SDK for more tailored implementations.

Key Features

Simulated Call Replays: Test voice AI agents by replaying real production calls with high fidelity, including original voice, pauses, and tone, to track improvements and identify edge cases.
Comprehensive Monitoring & Evaluation: Access real-time insights with enterprise-grade transcription (50+ languages, 8.6% WER), sentiment and emotion analysis, key event tracking, and automated goal evaluation.
Actionable Reports & Dashboards: Transform call data into insights using custom reports, funnel visualizations for user journeys, and common path analysis to optimize voice AI performance.
Flexible Integration Options: Integrate Roark in minutes with no-code connections for VAPI and Retell, or use Node & Python SDKs for full customization and control.

Use Cases

Testing new versions of voice AI agents before deployment.
Identifying and fixing issues in voice AI conversations based on real user interactions.
Monitoring the performance of voice AI in production for failures and optimization opportunities.
Analyzing customer sentiment and emotions during calls to improve service quality.
Tracking key performance indicators (KPIs) for voice AI through custom dashboards.
Optimizing user flows in voice applications by visualizing customer journeys and drop-off points.

Frequently Asked Questions

What does Roark do?

Roark enables teams to simulate replays of real production calls, track performance, and debug issues, helping them ship reliable voice AI faster.

What are simulated replays?

Simulated replays involve creating test cases from real customer calls and re-running them with new agent versions. Roark clones the original voice and replicates every detail, like pauses and tone changes, to create snapshots for tracking improvements.

What kind of sentiment analysis does Roark offer?

Roark detects customer sentiment (e.g., positive/negative), emotions (e.g., concerned, anxious), and vocal cues (e.g., sighs, pauses) in real-time during calls.

How difficult is it to integrate Roark?

Roark can be connected to your voice agent in minutes. It offers no-code integration with VAPI and Retell, or an SDK for full control, ensuring a straightforward setup.