Independent testing for AI and LLM-powered products, plus AI-assisted testing that makes your existing QA faster. Quality is where TRAN started.
Measure accuracy, relevance and hallucination rate against real-world test sets.
Test for prompt injection, data leakage, harmful output and policy violations.
Automated suites that catch quality drops when prompts, models or data change.
End-to-end testing of AI agents that call tools and complete multi-step tasks.
Latency, throughput and cost-per-request testing under realistic load.
Use AI to generate test cases, test data and analyse failures for faster testing.
Identify what can go wrong and what matters most to your users.
Build evaluation datasets and scoring rules from real scenarios.
Run the tests on every change in your CI/CD pipeline.
Clear quality reports with concrete fixes.
We choose technology to fit your stack, budget and data-privacy requirements, including self-hosted options.
AI output varies and can be wrong in subtle ways. It needs evaluation datasets, scoring and continuous regression testing, not just traditional pass/fail test cases.
Yes. Independent testing is our core business. We give an unbiased view of quality before release.
Red-teaming means deliberately trying to make the AI misbehave, for example leaking data or ignoring rules, so the problems are fixed before attackers or users find them.
AI can draft test cases from requirements, generate test data, maintain UI locators and group failures, which saves significant QA time.
Tell us about your goals. We’ll reply within one business day with ideas and a proposed next step.