LLM Application Testing
Hallucination detection, output consistency, prompt injection, and toxicity testing.
01 Quality engineering for production AI
Find AI failures
before your users do.
AI-powered testing, guided by expert QA, to uncover failures faster and make your LLM applications, RAG systems, and AI agents more reliable.
Specialized coverage
From the first prompt to the final user interaction, we find the failures that traditional QA misses.
RAG Pipeline Evaluation
Retrieval accuracy, context relevance, faithfulness, and chunk quality evaluation.
02AI Agent Testing
Tool-call correctness, goal completion, loop detection, and multi-step reasoning.
03AI Safety & Red Teaming
Adversarial prompts, jailbreak attempts, PII leakage, and boundary testing.
04End-to-End UI Testing
Functional testing of AI-powered interfaces across critical user journeys.
05QA Reporting & Retesting
Clear defect reports, prioritized findings, fix verification, and release recommendations.
06AI application QA services
How we can support your team
We test your AI application before launch, before a major release, or as an ongoing QA partner.
Before launch
Complete AI Application Testing
End-to-end QA for your LLM app, RAG system, or AI agent before it reaches users.
- Functional and user-flow testing
- AI output and reliability testing
- Detailed defects and recommendations
Before a release
Release Readiness Testing
Focused QA for new features, model changes, prompt updates, and important product releases.
- Regression and integration testing
- Critical AI behavior checks
- Release readiness report
Ongoing support
Dedicated AI QA Support
Flexible QA support for teams that continuously improve and release their AI product.
- Regular feature and regression testing
- Reusable test coverage
- Ongoing defect reporting and retesting
Built differently
Why Us
Generic QA checks whether the button works. We check whether the AI behind it is reliable, safe, and worthy of your users' trust.
Talk to an AI quality expertAI-Native Expertise
We bring focused experience in testing LLM applications, RAG systems, and AI agents to help teams build more reliable AI products.
Confidential by Default
NDA support is available, and your product details, test data, and findings remain confidential.
You Own Everything
Every test suite, report, and eval config is yours to keep and run in CI.
Controlled Access
Testing can work within controlled environments, with access scoped to the agreed engagement.