TestAI is an automated testing platform for AI voice and chat agents developed by NBULA, a brand of CNTXT AI. It helps QA engineers, product managers, and development teams validate conversational AI behavior by simulating real user interactions before release. The platform is designed for teams shipping conversational AI at scale, from startups to enterprises.
How It Works
Users configure test suites by defining caller personas with varying intents, communication styles, emotions, and context. TestAI then simulates hundreds of conversations against the target agent, automatically detecting bugs and generating full transcripts, logs, and improvement suggestions. No coding or setup is required; users paste an agent link, choose a model, and launch tests.
Key Features
- Automated test suite generation. Users create caller personas covering edge cases to test voice and chat agents across multiple scenarios without manual scripting. Personas can simulate angry customers, polite technical users, or confused shoppers.
- Multi-model support. The platform works with GPT-4, Claude, Llama, Gemini, DeepSeek, and other models so teams can compare performance across providers and catch model-specific issues.
- Comprehensive bug detection. TestAI automatically identifies prompt leakage, uncaught fallbacks, language hallucinations, tone mismatches, state memory failures, and voice integration errors such as latency and audio sync problems.
- Real-time analytics. Production calls are scored in real time to surface performance drops and metric failures. Pass or fail breakdowns by bug type, agent, model, or date are available.
- Live call monitoring. Continuous system health checks with alerts on call metrics help catch regressions the moment they occur.
- A/B agent evaluation. Teams can compare agents side by side to measure performance differences across configurations.
- Multilingual QA. Testing across different languages is supported for global agent deployments.
- Competitive benchmarking. Agents can be ranked against top performers in the industry to understand relative quality.
- Regression testing. When models or logic are updated, TestAI can auto-replay previous tests to catch regressions and ensure new updates do not break existing functionality.
Use Cases
- Pre-launch validation. QA teams run automated regression and scenario-based tests on chat and voice flows to ensure agents are ready before reaching customers.
- Continuous monitoring. Product managers monitor live production interactions to detect performance degradation and fix issues before they affect users.
- Internal bot quality assurance. Organizations validate internal AI assistant responses, spot outdated content, and measure trustworthiness at scale.
- Idea validation. Product teams quickly test new AI concepts and agent behaviors without writing test scripts, enabling faster experimentation.
Integrations
TestAI integrates with platforms including Bland, Retell AI, ElevenLabs, Vapi, Intercom, Chatbase, and Relevance AI. It also supports custom endpoints for proprietary agent deployments and works with any platform hosting a chat or voice agent.
Pricing
TestAI offers a free plan with 50 credits per month for core testing features, a Starter plan at $40 per month with 1,000 credits, a Pro plan at $124 per month with 5,000 credits and advanced analytics, and an Enterprise plan with custom pricing including unlimited credits, private endpoints, SLAs, and premium support.
