Conversational AI Testing: Validate Every Chat and Voice Conversation
Deploy autonomous AI evaluators against your conversational AI agents. Score every chat and voice exchange for hallucination, bias, and context loss so broken conversations never reach real users.
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Conversational AI Testing for Every Channel
AI-native evaluators that generate conversational scenarios, hold full sessions with your agent, and score conversational AI testing quality across 9 metrics.
Score Every Chatbot Conversation
Conversational AI testing for text-based agents scores every chatbot exchange across 9 quality metrics, from hallucination and bias to context awareness and conversation flow.
9 Conversation Quality Metrics
Score bias, hallucination, completeness, context awareness, response quality, and more on every chatbot turn.
Workflow-Based Scenario Generation
Auto-generate 60-100+ conversational test scenarios from uploaded docs, PRDs, or connected Jira and Confluence.
Go-Live Assessment
Get a Green, Yellow, or Red production-readiness verdict before every conversational AI deployment.
A Deep Dive into Conversational AI Testing
See how TestMu AI scores dialogue quality, tracks context and memory, spans every channel, and plugs into CI/CD.
CONVERSATION QUALITY
An AI Evaluator for Conversational AI Testing
Conversations don't repeat themselves, so scripted assertions don't work. TestMu AI deploys an evaluator that talks to your agent like a real user and scores every reply for accuracy, safety, and tone.
Start Testing Your Conversational AI- Detect hallucinations and fabricated claims automatically.
- Uncover bias across demographics and personas.
- Screen for toxicity and compliance violations turn by turn.
CONTEXT & MEMORY
Validate Memory Across Every Turn
A big part of testing conversational agents is proving they stay consistent deep into a session. Generate scenarios that stretch across many turns and flag the exact point where context slips.
Try for free- 60-100+ multi-turn scenarios generated from PRDs, Jira, or Confluence.
- Automatic spread across happy paths, edge cases, and adversarial follow-ups.
- Context-awareness scoring on every single turn, not just the final reply.
OMNICHANNEL COVERAGE
One Evaluation Framework, Every Channel
Whether a user types into a web widget or calls a phone line, TestMu AI applies the same nine quality metrics, so a chatbot and its voice counterpart are held to one bar.
Try for free- Shared scoring model across chat, in-app assistants, and voice.
- Same PRD or knowledge-base upload drives scenarios for every channel.
- Consistent Green, Yellow, Red verdict regardless of surface.
CI/CD INTEGRATION
Run Conversational AI Testing From Your Terminal
Use testmu-a2a-cli to trigger conversational AI testing directly from your terminal. Connect an agent to TestMu AI's evaluation infrastructure and get scored, CI-native results back in the same pipeline run.
Get Started for Free- Installs via pip and authenticates with environment variables.
- Outputs JUnit XML for GitHub Actions, GitLab CI, Jenkins, and CircleCI.
- Gate deployments on the exit code instead of a manual transcript review.
Complete Conversational AI Testing Coverage
Confidence That Scales With Evaluation Volume
Every conversational AI testing score carries a confidence rating tied to how many evaluations produced it, so a thin sample is never reported as a solid verdict.
Nine Metrics, Every Conversation
Hallucination, bias, completeness, context awareness, response quality, conversation flow, tone consistency, root-cause understanding, and positive user outcome.
UX and Business Ops in One View
Track the numbers that matter to the business, from CSAT and sentiment to containment rate and handoff trends, across every test run.
Pass, Fail, or Partial on Every Scenario
Every conversational scenario is tracked as Pass, Fail, or Partial against your defined criteria, with the evidence that drove the score attached.
Built for Every Layer of Conversational AI QA
Project & Environment Management
Create conversational agents, manage test environments, and scope variables with bulk creation support.
Test Profiles & Personas
Inject reusable key-value test data and draw on a pre-built or custom persona library for targeted conversational scenarios.
Validation Criteria
Define custom, evidence-based pass/fail rules per conversation with High, Medium, and Low confidence tracking.
Security & Infrastructure
Execute via TestMu AI's HyperExecute with optional secure tunnels for firewall-restricted conversational agents.
Scheduling Engine
Automate regression runs across every conversational agent on preset frequencies or full custom cron expressions with IANA timezone support.
Observability & Reporting
Monitor test runs with unified dashboards, exportable reports, and real-time pass/fail trends across every conversation.
Success Stories of TestMu AI (Formerly LambdaTest)
50%
reduction in test execution time
“HyperExecute is a highly reliable test execution platform and has excellent customer support.”
Sagar Uday Kumar
Sr. Engineering Manager
Some Love from our Customers
As Best Egg expanded its product offerings and entered new markets, we knew our old testing infrastructure couldn’t keep up.
With support from Tenny Agustin, our Engineering Operations Lead, we modernized our approach with
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Excited to Share My Learning Journey with Kane AI & Lambda Tool!
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See how is #Futureready to enable blazing-fast test orchestration seamlessly integrated with organizations' existing CI/CD platforms, using #Microsoft Azure.
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