Ship your AI with
confidence.

Qualura is a senior-only QA agency for teams building AI products. We find the failures traditional QA can't see. Hallucinations, silent state breaks, quiet decision drift. All before your users do.

Book a Sprint Explore Services

Why Qualura

AI products fail in places traditional QA can't see. Hallucinated answers. Silent API timeouts. Agents choosing the wrong tool confidently. Regressions where responses stay "valid" but become less trustworthy over time.

AI QA demands a different toolkit. We focus on LLM apps, AI agents, RAG systems, copilots, and automation-heavy workflows where correctness matters more than polish. No vague reports. Just evidence of what's broken and what to fix first.

Published AI Testing Findings

Evidence from real exploratory testing across AI products, model behavior, mobile workflows, and grounding failures.

Explore Research

The 5-Day AI Risk Audit Sprint

Five days. Five specialists. One clear answer on whether your LLM product, AI agent, RAG system, or AI workflow is ready to ship.

  1. Discovery & AI Behavior

    We map your product, capture baseline behavior, and start probing the model itself, prompt adherence, hallucinations, tone drift, refusal patterns.

  2. Functional & State

    Deep functional paths. What happens on retry, on stop, on refresh. Chat history, session state, context windows, every place state can quietly break.

  3. Edge Cases & Accessibility

    Concurrent requests, adversarial inputs, unusual locales, long inputs, empty inputs. WCAG audit on every interactive surface, including streamed responses.

  4. Security & Quiet Failures

    Prompt injection, data leakage, auth boundaries, API integration points. The silent errors that don't surface to the user but corrupt trust over time.

  5. Mobile, Validation & Synthesis

    Cross-device validation, regression sweep, and synthesis of every finding into an executive summary, risk framework, and a clear Go / No-Go recommendation.

You walk away with

  • Executive summary for leadership
  • Complete bug database with repro steps & evidence
  • Risk framework scored by likelihood & user impact
  • Prioritized remediation roadmap
  • Honest Go / No-Go assessment
  • Testing coverage map
Book a Sprint

Fixed scope. Fixed duration. Limited sprints per month.

What We Test

Six pillars of AI quality assurance for LLM products, agents, RAG systems, and AI-powered workflows.

AI Behavior

Prompt adherence, hallucinations, tool-selection errors, consistency across reruns, refusal quality, and eval drift over time.

Functional Paths

Every user-facing flow, including retries, stops, edits, regenerations, and long-running conversations where state quietly drifts.

UI & State

Streamed rendering, chat history, context persistence, session recovery, rapid-click edge cases, and visual regressions.

API & Security

Prompt injection, data leakage, rate limits, auth boundaries, concurrent request handling, and integration failure paths.

Accessibility

WCAG 2.2 compliance, keyboard navigation, screen reader support for live-updating and streamed AI content.

Performance

Time-to-first-token, perceived latency, concurrent load, and degradation under real-world network conditions.

AI QA Services

For teams that need more than a 5-day audit, we run ongoing AI testing engagements tailored to your product, model stack, and release risk.

Exploratory AI Testing

Human-led testing for hallucinations, grounding gaps, missing context, false assumptions, and user journeys automation will not naturally explore.

LLM & RAG Evaluation

Prompt adherence, retrieval quality, citation accuracy, context use, refusal behavior, and answer reliability across realistic prompt variation.

AI Agent Workflow Testing

Tool selection, memory, state, permissions, retries, approval gates, and multi-step task completion for autonomous and semi-autonomous agents.

Mobile AI Testing

Real iOS and Android testing for voice, image upload, share intents, orientation changes, file handling, and cross-device AI workflows.

API, Tool & Backend Validation

Testing the invisible layer behind AI features: tool calls, data integrity, auth boundaries, rate limits, failed dependencies, and silent server errors.

Accessibility & AI UX

WCAG coverage for AI interfaces, including streamed responses, chat controls, generated content, keyboard flows, screen readers, and error states.

Discuss a Custom Engagement

Who We Work With

We specialize in LLM products, AI agents, copilots, RAG systems, and automation-heavy workflows. We also support complex SaaS teams when AI reliability, workflow correctness, or subtle failure modes are the main risk.

If your product has a failure mode that's subtle, quiet, or hard to reproduce, that's the kind of work we take on.

The Team

Senior-led · AI-native · NDA-bound on every engagement

Qualura is a senior-led team of QA specialists activated per engagement. Every member has 4+ years of hands-on testing experience on enterprise-scale AI and SaaS products. AI copilots, collaboration platforms, search systems, productivity tools, and AI-powered notebooks used by millions of users globally.

Our team holds Lead Engineer-level specialists with backgrounds in global IT services programs. Every Qualura project is staffed by testers who've shipped at scale, not people learning on your product.

We can't name the products we've worked on. Every engagement, past and present, is NDA-bound. What we can say is that if you're building a modern AI assistant, agent, or copilot, someone on our team has already tested a product like it. And broken it in ways you'll want to know about before your users do.

Activated per engagement. Scaled to your scope. Held to your confidentiality.

What's Not Included

Honesty is part of the service.

  • We don't fix the bugs. We find them, triage them, and hand them to your team.
  • The Sprint closes cleanly on Day 5. Extended support is a separate engagement.
  • Not a performance optimization engagement. We measure. We don't tune.
  • Not a full penetration test. We cover AI-specific attack surfaces, not red-team depth.
  • No load testing beyond realistic concurrent usage.
  • No legal, compliance, or policy review.

FAQ

The questions most teams ask before Day 1.

Do you only work with AI products?

AI products are our focus: LLM apps, AI agents, RAG systems, copilots, and AI-powered workflows. We also support complex SaaS when AI reliability, workflow correctness, or subtle product failure modes are the main risk.

We're not launching in 5 days. Is the Sprint still useful?

Yes. The best time to run the Sprint is 2 to 4 weeks before a major release, so you have time to act on what we find. It also works as a pre-funding diligence exercise or as a baseline audit on a product already in production.

What if you find a lot of critical issues?

Then it was worth running the Sprint. You'll get a severity-ranked list and a clear remediation sequence. We'll tell you honestly whether the product is shippable, and if it isn't, what the minimum bar looks like.

Can you fix the bugs for us?

No. The Sprint is deliberately audit-only. It keeps the engagement short, the scope tight, and our recommendations unconflicted. We hand your engineers everything they need to act quickly. For ongoing QA help beyond the Sprint, we run separate engagements.

How accurate are the findings?

Every bug ships with reproduction steps and evidence (logs, screenshots, network traces). For AI behavior findings, we include the exact prompts, model versions, and seeds where applicable, so your team can reproduce and verify independently.

Who's on the team?

Senior QA specialists only. Every member has 4+ years of hands-on experience, each owning a pillar: AI behavior, functional, UI/state, API/security, and accessibility/performance. No juniors billed as seniors.

How much does it cost?

Pricing depends on the engagement. Book a discovery call or email us with a short note about your product and what you're trying to validate. We'll reply with scope, timeline, and a quote.

"Software with bugs is
software without value."

Work With Us

Tell us about your product.

Book a 30-minute discovery call for an LLM product, AI agent, RAG system, or AI-powered workflow. If email is easier, send us a short note and we'll reply with next steps.

Book a Discovery Call
infas@qualura.com linkedin.com/company/qualura

30-minute discovery call

What we will cover

  • What your product does, who uses it, and where reliability matters most.

  • Your launch timeline, release risk, and current testing coverage.

  • Whether a 5-Day AI Risk Audit Sprint or a custom QA engagement is the right fit.

Best for LLM products, AI agents, RAG systems, copilots, SaaS platforms, mobile apps, and automation-heavy workflows.