Voice & chat AI testing · public beta

Catch hallucinations compliance gaps latency spikes broken handoffs silent dead-air hallucinations
before your customers do.

Simulate, evaluate, and optimize your voice and chat agents. Co-Pilot shows you what to fix next.

No credit card · 200 free credits

          $ rubrichq connect vapiretelllivekitpipecatvapi ✓ 1-click
          
        

Simulate at scale

Thousands of concurrent test calls

Score every call

Code, LLM-judge & audio metrics

Optimize prompts

Prove every fix before you ship

Monitor in production

Live scoring & drift alerts

Built by engineers who shipped conversational AI for customer support — and got burned by it.

Every prompt tweak broke something we didn't test. RubricHQ is the test suite we wished we'd had.

Read our story →

Works with

Vapi

Retell

LiveKit

Pipecat

ElevenLabs

OpenAI

The platform

One platform. Pre-launch to production.

Auto-generate scenarios, test at scale

AI writes hundreds of realistic test scenarios — then runs them as concurrent voice calls or chats.

app.rubrichq.io/live-simulations/scenario

Acme Health's Orga…

Owner

Platform

Dashboard

Test Agents

Co-Pilot

Metrics

Analytics

Prompt Optimizer

Evaluation

Live Simulations

Batch

Observability

Conversations

Notifications

Settings

Alex Rivera

alex@acmehealth.com

Live Simulations

ScenarioPersona LibraryConversation AttributesAutomated Schedules

Manage and simulate your test scenarios.

Search scenarios...1P Creditor (Vapi)Generate by AICreate Scenario

NameTypeLanguagePersonaMetrics

Verify bot authentication2InstructionsEnglishProfessional CallerVoice Change Detection+18

Happy Customer Debt ExtensionInstructionsEnglishInterruptive PersonaVoice Change Detection+15

Sales - Product InquiryInstructionsEnglishProfessional CallerUser Greeting+1

Customer Support - Billing IssueInstructionsEnglishProfessional CallerCustomer Satisfaction

Payment Extension — Bad Connection (volume + network tags)2ConditionEnglishProfessional CallerUser Greeting

Sales - Product InquiryInstructionsEnglishProfessional CallerCustomer Satisfaction

Customer Support - Billing IssueInstructionsEnglishProfessional CallerCustomer Satisfaction

After-Hours Voicemail CaptureInstructionsEnglishProfessional CallerUser Greeting+3

Dispute Charge — Escalation Path3ConditionEnglishInterruptive PersonaCustomer Satisfaction+9

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Generate scenarios with AI

Generation started…

Reading your agent prompt

10 scenarios generated

Edge cases, happy paths, red-team

Review & approve

Add to your scenario library

Automated schedules

Select scenarios

Pick a suite to run

Set up a trigger

Nightly, hourly, or on deploy

Alert on anomalies

Slack & email when quality drifts

Co-Pilot · the intelligence layer

Know why calls fail, and what to fix.

Ask in plain English. Co-Pilot reads every call and chat and answers with the calls behind it.

Deep analysis, not a sample

Reads every transcript in the period and returns exact counts.

Finds the why

Groups hundreds of calls into the few reasons that matter.

Surfaces opportunities

Turns objections, unmet requests, and agent mistakes into a ranked fix list.

What are customers asking for that the agent can’t do?Why are calls escalating to a human?Which objections cost us the most payments?Where does the agent make mistakes?

Explore Co-Pilot

QWhy did callers hang up before paying last week?

Deep read complete · 412 calls read · 63 ended early

Most early hang-ups came before the agent explained who was calling. Four reasons cover all 63 calls:

Thought the call was a scam24 calls

Payment amount too high18 calls

Asked for a human, none offered12 calls

Could not verify identity9 calls

Biggest opportunity

Have the agent state the company name and offer a callback number before asking for payment. That addresses 24 of 63 early hang-ups.

Show the 24 callsSave as metric

Every prompt change is a regression you haven't found yet.

AI agents don't fail loudly. A new model, a reworded instruction, or a different TTS voice can pass your five manual test conversations and still hallucinate a refund policy on call 312. You find out when a customer does.

Without RubricHQ

✕10–20 manual test calls a day

✕"Sounded fine to me"

✕Customers find the hallucinations

✕Deploy and pray

With RubricHQ

✓1,000+ calls simulated in minutes

✓Every call scored on 100s of metrics

✓Hallucination and compliance checks built in

✓A regression suite that runs before every deploy

Why teams pick RubricHQ over other conversational AI testing tools

Test, fix, and re-test in one loop

Simulate calls, score them, rewrite the prompt, and re-run the same suite — then score live calls on the same metrics.

Fixes, not just failures

Optimize diagnoses why a call failed, rewrites the prompt, proves the fix against your suite, and pushes it back to Vapi or Retell.

Priced so you can actually start

Free, no card, public pricing. No "contact sales" wall before your first test.

Compare: vs Hamming · vs Coval · vs Cekura · vs Roark · vs Maxim AI

Test personas

Test with real-world caller diversity

Angry, confused, elderly, multilingual, adversarial — a persona library that mirrors your actual callers.

Maria

US English

Angry

Long-term customer, frustrated about billing errors. Escalates quickly.

James

UK English

Confused

Elderly user struggling with technical terms. Speaks slowly, repeats himself.

Priya

Indian English

Direct

Tech-savvy power user. Asks pointed questions, expects precise answers.

Hans

German accent

Impatient

Business caller on a tight schedule. Wants resolution in under 2 minutes.

Carlos

Spanish accent

Adversarial

Tests policy boundaries. Tries to extract unauthorized discounts.

Sophie

Australian English

Friendly

New customer exploring options. Easily influenced by confident responses.