AI Phone Call Testing Platform That Validates Agent Performance
Missed Calls are Costing You
$100K+ a Year
Voice.ai stress-tests your LLM voice bots, validates response latency, and monitors conversational accuracy in real-time.
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Hidden Costs
The Hidden Cost of Untested AI Voice Agents
A typical enterprise voice bot handles thousands of minutes per month—but without rigorous testing, up to 15% of interactions suffer from high latency, hallucinations, or broken logic. Most users won’t report a bad experience; they simply hang up.
The result? Brand reputation damage and thousands in wasted API costs—plus lost customers who never come back.
Voice.ai is your 24/7 Quality Guardrail. Our platform uses automated stress-testing to validate agent performance under load—ensuring every conversation is fast, accurate, and reliable.
Use Cases
What Our Testing Platform Validates
Latency & Response Time
We measure Time to First Byte (TTFB) and end-to-end latency to ensure your AI isn’t leaving callers in awkward silence.
Logic & Guardrail Integrity
We attempt to “break” your agent with prompt injections to ensure it stays on script and never hallucinates.
STT & TTS Accuracy
Our engine analyzes word error rates and vocal clarity to ensure your agent sounds human and understands diverse accents.
Stress & Load Testing
We simulate hundreds of concurrent calls to see exactly when your infrastructure peaks or fails.
How It Works
How Voice.ai Works for Real Estate Teams
1
Connect Your Existing Phone Number
Link your phone number. No code, no IT team needed.
2
Train on Listings, FAQs, and Scripts
Train your AI on your listings, scripts, and brand voice.
3
Capture Leads and Book Showings 24/7
Start capturing leads 24/7. Watch your pipeline grow.
24/7
Always Available
3x
Leads Captured
<1s
Response Time
60%
Cost Reduction
Customer Feedback
"We used to ship updates and just hope our latency stayed low. Now, Voice.ai runs 500 automated stress tests before every deployment. We haven't had a single 'silent agent' incident in months."
VP of Engineering
Enterprise Conversational AI Platform
"The platform paid for itself the first week. It identified a loop in our LLM logic that was burning $2k a day in unnecessary API tokens. It’s an essential part of our QA stack now."
Head of Product
Global Customer Service Outsourcer
"Our biggest fear was our agent going off-script or hallucinating. Voice.ai's automated red-teaming found three critical logic breaks that our manual QA missed entirely. It's a lifesaver."
Lead AI Architect
FinTech Voice Solutions
Features
Why Teams Use Voice.ai for Agent Validation
Automated Regression Testing
Run thousands of synthetic calls to ensure new model updates don’t break existing conversation flows or logic.
Real-Time Latency Monitoring
Track end-to-end response times across different regions to ensure your agent never feels “laggy” to the end user.
Seamless CI/CD Integration
Plug our testing suite directly into your GitHub or GitLab pipeline. Contacts, logs, and failure reports—captured automatically.
Instant Hallucination Alerts
Our proprietary “Guardrail Engine” identifies high-risk responses and alerts your team the moment an agent goes off-script.
You Build the Agent. We Prove it Works.
Developing voice AI is a complex challenge. But you can’t scale your product if you’re stuck manually testing every conversation path for hallucinations or lag.
Voice.ai handles the heavy lifting—automated regression, latency benchmarking, and logic validation—so you can focus on shipping features that delight your users.
FAQs About AI Voice Agent Testing & Monitoring
How does Voice.ai test my agents?
Our platform uses Synthetic Call Injection. We simulate real-world phone calls to your AI agent and use a secondary “Judge LLM” to analyze the transcript for accuracy, sentiment, and adherence to your specific guardrails.
Can it detect hallucinations in real-time?
Yes. By comparing your agent’s responses against your provided “Golden Dataset” or Knowledge Base, we flag any deviation or fabricated information with 99% accuracy, allowing you to rollback broken deployments instantly.
Does it measure latency (TTFB)?
Absolutely. We track Time to First Byte (TTFB) and end-to-end conversational lag across various network conditions. If your agent’s response time exceeds your set threshold (e.g., >800ms), you get an immediate alert.
Can it perform "Red-Teaming" or stress tests?
Yes. You can trigger Adversarial Testing where our system deliberately tries to “break” your agent using prompt injections, circular logic, and aggressive tone to see if your safety guardrails hold up.
Does it support multiple voice providers?
We are provider-agnostic. Whether you use Vapi, Retell, Bland, or a custom-built solution via WebSockets/Twilio, Voice.ai can dial in and validate the performance of any voice-enabled LLM.
How does it integrate with my workflow?
Voice.ai integrates via Webhooks and a Robust API. You can trigger a full suite of regression tests every time you push a code change in GitHub, ensuring no update ever degrades the user experience.