AI behavior
Prompt adherence, refusal quality, tone drift, consistency across reruns, and model behavior under realistic user pressure.
AI QA Agency
QA for AI products where correctness matters.
Qualura is a senior-led AI QA agency for teams building LLM products, AI agents, RAG systems, copilots, and automation-heavy workflows. We test the failures traditional QA usually misses: hallucinations, grounding gaps, unsafe behavior, state drift, prompt injection, and silent workflow breaks.
What an AI QA agency should actually test
AI QA is not only checking whether buttons work. The product can look polished while the model invents facts, ignores context, leaks data, chooses the wrong tool, or gives a confident answer based on a false premise.
Qualura combines exploratory testing, AI behavior evaluation, safety testing, workflow validation, and classic QA discipline. The result is evidence your product team can act on before customers, investors, or enterprise buyers find the issues themselves.
Core AI QA coverage
Focused coverage for teams that need evidence, not generic QA theater.
Grounding and hallucination
Whether responses are supported by available context, retrieved data, uploaded files, or the actual message payload.
Agent and workflow reliability
Tool use, memory, state transitions, retry behavior, permissions, and multi-step task completion.
Safety and abuse paths
Unsafe outputs, jailbreak behavior, prompt injection, data leakage, and policy boundary failures.
Mobile and cross-platform paths
Real user flows across Android, iOS, browser, sharing flows, upload paths, and device-state changes.
Evidence-first reporting
Every finding is documented with reproduction steps, prompts, environment details, screenshots, and severity rationale.
How we usually engage
We start with a short discovery call to understand the product, target users, release risk, and the AI surfaces that need validation.
For launch readiness, we usually recommend the 5-Day AI Risk Audit Sprint. For larger products, we scope an ongoing QA engagement around your release cadence.
You receive a prioritized report with evidence, severity, business impact, and the minimum fixes needed before launch.
What you get
- AI behavior risk map
- Bug database with reproduction steps
- Safety and grounding findings
- Workflow and state failure analysis
- Launch-readiness recommendation
- Prioritized remediation roadmap
Related services
LLM Testing Services
Testing for prompt adherence, hallucinations, refusals, and model drift.
AI Agent Testing
Validation for tool use, memory, state, permissions, and agent workflows.
RAG Testing
Grounding, retrieval, citation, and answer-quality testing for RAG systems.
FAQ
Common questions before we scope the work.
Is Qualura only for AI companies?
AI products are our focus, especially LLM apps, agents, RAG systems, copilots, and automation workflows. We also test complex SaaS products where correctness matters.
Do you replace an internal QA team?
No. We usually support internal teams by finding the AI-specific risks that normal functional QA, unit tests, and happy-path automation miss.
Can this happen before a launch?
Yes. The best time is two to four weeks before a major launch, funding milestone, enterprise pilot, or public release.
Work With Us
Need AI testing before your product ships?
Book a 30-minute discovery call. We will understand your product, identify the riskiest AI surfaces, and recommend whether a sprint or custom engagement fits best.
Qualura
Senior-led. Evidence-first. NDA-bound.
We test AI products, LLM features, agents, RAG systems, and automation workflows the way real users interact with them.
infas@qualura.com