See what your users might say — and how your agent reacts.

TestAI auto-generates diverse test ideas with randomized personas, edge cases, moods, and intents — revealing failures you never imagined.

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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

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

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“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

Not sure what to test? Let TestAI think like your users.

TestAI is your pre-launch safety net. Validate every interaction, every time.
CNTXT prioritizes enterprise-level security, providing transparent access to the latest AI models while ensuring that user data remains private.
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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

Test like a real user — not a QA checklist.

The most unpredictable user is the one you haven’t simulated yet.

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