Evalgent

Test voice agents before deployment

Validate reliability across real scenarios and user behaviors before launching your agent into production. Run controlled simulations to detect failures early and deploy with confidence.

Voice agents often fail in production

These are real issues teams encounter after deploying voice agents — failures that demos and manual testing never reveal.

Common failure patterns

Fail to complete tasks
Loop in conversations
Misinterpret user intent
Break under difficult conditions
Fail under interruptions
Skip required steps
Agent repeats the same question
Fail to complete tasks
Loop in conversations
Misinterpret user intent
Break under difficult conditions
Fail under interruptions
Skip required steps
Agent repeats the same question
Conversation becomes too long
Fail to follow business rules
Forget collected information
Mis-handle multi-turn context
Conversation ends prematurely
Agent abandons the task
Misinterprets follow-up questions
Conversation becomes too long
Fail to follow business rules
Forget collected information
Mis-handle multi-turn context
Conversation ends prematurely
Agent abandons the task
Misinterprets follow-up questions
Agent moves to unrelated topics
Fails to handle ambiguous inputs
Confuses similar intents
Breaks under high background noise
Struggles with strong accents
Fails with fast speech
Fail to complete tasks
Agent moves to unrelated topics
Fails to handle ambiguous inputs
Confuses similar intents
Breaks under high background noise
Struggles with strong accents
Fails with fast speech
Fail to complete tasks

Manual testing gives you a false sense of confidence

Manual Testing

10 calls

10 / 10 passed

100% pass rate

False confidence

Blind spots

  • • Small sample size
  • • No edge cases tested
  • • No stress conditions

With Evalgent

100 runs

72 / 100 passed

28 failures caught before launch

Failures found:

Task incompleteLooped conversationMissed step

How we solve them

Run Controlled Simulations

Test your agent using realistic scenarios like support calls, onboarding flows, or account enquiries. Each scenario defines the objective and success criteria for the conversation.

ScenarioActive

Refund request

Objective: Complete the refund process end-to-end

Success criteria

Agent confirms order number
Refund reason collected
Refund processed and confirmed

Measure True Reliability

Evalgent runs each scenario multiple times to reveal how often the agent succeeds.

Reliability report
ScenarioRefund request
Runs20
Success14
Failures6
Reliability70%

Diagnose Failures Instantly

Every test run produces evidence for investigation. Teams can inspect conversation transcripts, audio playback, and the exact step where failure occurred.

Conversation transcriptFailed

Hi, how can I help you today?

I need to cancel my subscription

Sure, let me look up your account. Can you provide your email?

I'd be happy to help you upgrade your plan!

Failure at step 4 — Agent misinterpreted intent

Test Real User Conditions

Users interrupt, change topics, and speak unpredictably. Evalgent simulates conditions such as interruptions, background noise, impatient users, and fast speech.

Behavior profiles
Interruptions
Background noise
Fast speech
Impatient user

Built for teams deploying voice agents

Voice Agent Service Providers

Ship reliable agents to every client. Reduce post-deployment escalations and prove quality with evidence.

In-house AI Teams

Move faster without breaking things. Know exactly how prompt or model changes affect real conversations.

Voice Agent Platforms

Protect platform reputation at scale. Automatically enforce quality standards across every agent release.

Know if your voice agent is ready for production