Your flow looks good on paper. But does it survive real users?

TestAI simulates full conversation paths, stress-tests transitions, and spots gaps — so your agents feel seamless, not scripted.

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Whatever your business needs

TestAI’s automated engine powers more than just basic bug detection. It’s the foundation for these advanced testing use cases

Automated & continuous testing
Stress-test your AI agents — before your customers do.
Test Ideas
Auto-generate diverse user personas and edge-case prompts to simulate real-world interactions, from the calm to the chaotic.
Build Smooth AI Flows
Validate multi-turn logic, detect dead ends, and auto-generate improvement suggestions for flow structure, fallback handling, and re-engagement.
Debugging
Dive deep into test logs, flag model-specific errors, and isolate faulty nodes or prompts — all with traceability down to the token.
Smart Internal Bots
Keep internal agents secure, compliant, and on-brand—while catching gaps and hallucinations early.
LLMs Playground
Benchmark agents across GPT-4, Claude, Llama and others. A/B test tone, accuracy, and speed — all backed by automated test metrics.
A/B Agent Evaluation
Compare flows or model versions across tone, accuracy, latency, and UX.
Multilingual QA
Stress-test agents across languages, local dialects, and cultural tone variants.
Competitive Agent Benchmarking
Secret-shop competitor bots. Compare answers, flow depth, and bug presence.

What Our Customers Say

With a 4.6-out-of-5-star rating and a bunch of distinctions on G2, TestAI users have declared it an industry standard in the AI Agent world.

“TestAI caught a prompt leak hours before launch. Saved our brand — and our weekend.”

Amira D., Lead QA at HealthTech AI

“TestAI caught a prompt leak hours before launch. Saved our brand — and our weekend.”

Amira D., Lead QA at HealthTech AI

Go beyond static flowcharts. Test flows in motion.

TestAI is your pre-launch safety net. Validate every interaction, every time.
End-to-End Flow Testing
Simulate multi-turn conversations to validate path coverage, intent transitions, fallback handling, and state retention across branches.
Goal Completion Tracking
Track whether the agent resolved the user’s task by measuring flow success metrics like resolution rate, detour frequency, and abandonment points.
Edge-Case Path Generator
Injects unexpected user input mid-flow (e.g., change of intent, backtracking, frustration). See if the agent adapts or breaks.
Improvement Suggestions
TestAI highlights under-tested paths, confusing transitions, overuse of generic responses, and spots where context is lost or repeated.
Flow Map & Heat View
Dynamic visual map of how users move through your flow. Hot spots show areas with failure clusters.
CNTXT prioritizes enterprise-level security, providing transparent access to the latest AI models while ensuring that user data remains private.
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QA Manager at a fintech
CX Leader at a marketplace
Engineer at a chatbot startup
10+ hrs
Saved weekly per QA Engineer
54 min
QA Cycles
95%
Test coverage guaranteed in one month
5k$
Saved per QA Engineer
or tester
95%
Reliable.
4.3X
ewer bugs hit production
20 hours
Saved every month in QA
$50K+
saved from broken experiments
Zero
Delays
2.8X
more experiments run
>20 min
Release
cycles
6x
Fewer Product Bugs
$50,000
per year saved in patching and triage
20 + Hours Saved
monthly per QA engineer
95%
Test Coverage

Build flows that feel like real conversation — not decision trees.

TestAI shows where users get lost, frustrated, or dropped. Then helps you fix it.

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Ship reliable AI voice agents with confidence

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