Our main work is validating AI apps, LLM features, agents, and AI-generated products before customers hit the weak spots first. Then we layer in the extra QA your launch actually needs. How that plays out by industry is in the domain case studies.
We test the end-to-end journeys real users take through your product, including auth, payments, permissions, model-backed flows, and failure states.
We evaluate hallucinations, retrieval quality, structured outputs, prompt regressions, edge prompts, and how answers behave when real users are messy.
We look for prompt injection, sensitive data leakage, unsafe tool execution, role or tenant boundary failures, and weak fallback behavior.
We build the repeatable checks your team is missing, from browser flows to API assertions and AI eval coverage, so fixes stay fixed.
Use the switch to see the core work we lead with versus the supporting services we add when your product needs them.
This is the work we want visitors to see first because it speaks to the real launch risk in modern AI products.
Different AI products fail in different ways. Pick the closest match and see what we check first.
Looks impressive in demos because the expected questions are known. The gaps show up when real customers ask messy questions, ask follow-ups, or push on the edges.
Shipping a voice agent, multimodal app, or custom stack? We scope those too on the call. For the full evaluation method, see our AI eval framework.
Share repo access or a staging link. No lengthy onboarding, no production credentials required upfront.
We map the highest-risk journeys first: user actions, model outputs, retrieval, permissions, and fallback paths.
Manual exploratory testing plus automated checks, AI evals (LangSmith, Promptfoo), and edge-case coverage across the environments that matter. See our tool stack →
A prioritized, severity-ranked bug report your team can act on the same day it lands.
We verify every fix before you ship, so nothing quietly regresses on the next release.
Each free helper has its own page under Resources — pick the one that matches the question you have.
60-second self-check — tick what sounds true and see how urgent the launch looks.
InteractiveThe list we work through before AI products go live. Copy it into your workflow.
InteractiveGap finder, severity classifier, scope builder, prompt pack, and more.
HubTell us what AI product you're shipping, what can go wrong, and where confidence is thin. We'll come back with a scope, a timeline, and the first things we'd test.