QA, automation, and AI-specific testing for product teams and the businesses who hired them. We find what breaks before your customers do.
A QA testing service systematically checks every core flow, integration, and edge case in your product. It covers functional correctness (does every feature work as specified), regression protection (do new changes break existing features), cross-browser and responsive behavior, and — for AI-powered products — hallucination detection, output consistency, and prompt-injection resistance. The result is a clear pass/fail report that tells you exactly what's broken, what's at risk, and what's safe to ship.
You've been burned by a regression that slipped past code review, or an AI feature that worked in the demo and fell apart in production. We build and run test suites — including evaluation frameworks for AI outputs — that plug into your existing CI pipeline.
You hired someone to build your product and you have no way to verify it's solid. We test what's been built for you — in plain language, with a clear pass/fail report — before you put it in front of customers or investors.
Pick the service that matches your product. Each one starts with a QA Audit.
LLM output consistency, hallucination detection, prompt-injection resistance, agent reliability, and evaluation methodology for AI-powered products.
AI Application Testing → Web Application TestingFunctional testing, regression suites, cross-browser verification, responsive testing, authentication, and release validation for web apps of any stack.
Web Application Testing → SaaS QA TestingOnboarding, authentication, roles and permissions, subscription billing, dashboards, APIs, integrations, and release testing for SaaS products.
SaaS QA Testing →Every engagement covers the same ground — how deep we go depends on the tier.
Manual and scripted checks across every core user flow — sign-up, checkout, data entry, the paths your business actually depends on.
Regression suites (Playwright, Cypress, or your team's stack) so every future deploy gets checked automatically, not re-tested by hand.
Output consistency, hallucination checks, prompt-injection resistance, and edge-case handling for any AI agent or feature in your product.
Stress and load testing to find the point where things slow down or fall over — before your busiest day finds it for you.
Browser, device, and OS coverage so "works on my machine" isn't the standard you're shipping with.
A pass on common vulnerabilities and data-handling mistakes — not a full pen test, but the baseline every product should clear.
This is a sequence — each step depends on the one before it.
The QA Audit mirrors our Discovery Sprint — a fixed, low-cost way to see how we work before anything bigger.
A QA testing service includes functional testing (does every feature work), regression testing (do changes break existing features), cross-browser and responsive testing, and reporting. Gil Product Studio's QA service also covers AI behavior testing, load testing, and security basics depending on the engagement tier.
We offer three engagement tiers: a QA Audit (fixed price, ~1 week), a Test Suite Build (fixed scope), and an Ongoing QA Retainer (monthly). The QA Audit is the starting point — it gives you a full functional pass and plain-language report before you commit to anything larger.
Yes. Most of our engagements start with an existing application. We audit what's been built, identify the highest-risk areas, and either report findings or build a regression suite for ongoing protection.
Yes. We do manual testing first to find issues through human judgment, then build automated regression suites (Playwright, Cypress, or your stack) so future deploys get checked automatically.
Yes. We have dedicated SaaS QA testing covering onboarding, authentication, roles and permissions, subscription billing, dashboards, APIs, integrations, and release testing. See our SaaS QA Testing page for details.
Yes. We provide AI application testing including LLM output consistency, hallucination detection, AI agent reliability, prompt-injection resistance, and evaluation methodology. See our AI Application Testing page for details.
A QA Audit takes about one week. A full test suite build depends on application complexity and the number of flows to cover. We scope timelines after the initial audit.
Yes. Pre-launch QA is one of our most common engagements. We test your product before it reaches customers or investors, deliver a plain-language pass/fail report, and hand off a fix list or patch issues directly.
Start with a QA Audit — fixed price, one week, plain-language report.
Fill in the form — we'll review it and respond within one business day with an honest assessment of whether we're a fit.