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What can Relyable do?
Generate Test Cases
Create a series of key test cases to evaluate the performance of your agent against.
Simulate Conversations
Stress your agent with real-world scenarios — and see where it cracks before your users do.
Monitor Live Calls
See how your agent holds up in the wild. Live calls are evaluated against your objectives.
Create Personas
Develop personas that resemble real users, aligned with your target customer demographic.
Create Scenarios
Design targeted scenarios to evaluate your agent's capabilities, each paired with a persona.
Evaluate Metrics
Evaluate your agent's performance using our predefined metrics tailored for AI Voice Agents.
Auto-Summarized Meeting Notes
Effortless, accurate summaries delivered to your inbox after every call—no manual note-taking required.
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Real-Time Transcription
Capture every word as it’s spoken with live transcription that works across all platforms.
Speaker Identification
Know exactly who said what, with smart labeling and timestamps for easy playback.
Secure Cloud Storage
All your meeting data stored securely, encrypted end-to-end with enterprise-grade protection.
Relyable Metrics
Average Latency (in ms)
Track the average delay between agent responses to ensure naturaless.
Contextual Awareness and Memory
Ensure your agent remembers complete context of the conversation & knowledge base.
Transcriber Evaluation
Evaluate the performance of your TTS & STT, by assessing the users interpretation of messages.
Average Pitch (in Hz)
Assess the naturalness of the conversation by viewing voice pitch data.
Awkward Pause Detection
Ensure your agent responds to questions with appropriate delay lengths.
Speech/Audio Clarity
Assess the clarity and comprehensibility of the AI voice. (Signal To Noise Ratio)
Turn-Taking
Assess how smoothly and appropriately the AI responds in relation to when the other speaker pauses or finishes.
Customer Sentiment
Assess the emotional tone expressed by the customer during the interaction.
Bounce Rate
Assess how frequently users choose to exit the interaction shortly after it begins.