Qualiteye builds AI-powered software for product teams. Our first product, Simulr, replaces expensive user research with AI personas that navigate your product like real people — surfacing UX failures and documentation gaps in minutes.
AI personas that test your product like real users — surfacing UX issues and documentation gaps before a single real user sees them.
View product →We build AI-powered tools that give product teams the insights they need to ship with confidence.
AI personas that test your product like real users — surfacing UX issues, confusion points, and documentation gaps in minutes, not weeks. No user recruiting. No waiting on analytics.
Engineering perspectives on quality, automation, and building better products.
Most teams bolt quality on at the end. The highest-performing engineering orgs bake it into the very first conversation. Here's how to make that shift.
If your UI is hard to automate, that's a design problem. A deep look at how product and design teams can build testability into every screen from day one.
A complete walkthrough of setting up a CI/CD pipeline with quality gates at every stage — lint, unit, integration, E2E, and performance checks before every deploy.
Step-by-step guide to setting up a production-ready Playwright framework using TypeScript, Page Object Model, fixtures, and custom reporters.
How I use Claude Code to generate, review, and refactor Playwright tests — cutting test authoring time by 60% without sacrificing quality or coverage.
A practical guide to visual snapshot testing with Playwright — how to set baselines, handle dynamic content, and integrate visual checks into your CI pipeline.
How to set up Allure Reporter with Playwright for rich, interactive test reports — with screenshots, traces, step-level breakdowns, and CI integration.
How to configure GitHub Actions workflows with strict quality gates — fail fast on test failures, coverage thresholds, and performance budgets.
Quality culture doesn't come from tools — it comes from how your team thinks. A management playbook for embedding quality mindset across product, dev, and QA.
AI won't replace QA engineers — but it will change everything they do. A clear-eyed look at what shifts, what stays, and how to future-proof your QA career.
Testing before deployment isn't enough. Here's how to extend your quality strategy into production with monitoring, alerting, and real-user feedback loops.
A practical framework for assessing your team's quality maturity — from ad-hoc manual testing to fully automated, AI-assisted continuous quality engineering.
Quality is not a department. It's not a phase. It's a shared responsibility — engineered into every decision, every line of code, every deployment. It's why we built Qualiteye.
Catch defects where they're cheapest to fix — in requirements, design, and architecture — not in production.
Use AI to generate, review, and maintain tests faster — freeing engineers to focus on strategy and exploration.
Quality signals must flow in real time — from CI pipelines, production monitors, and user behaviour data.
System design decisions determine 80% of your defect rate. Quality engineers must have a seat at the architecture table.
The tools I use daily to build, automate, and maintain quality across the full software lifecycle.
Bengaluru, India
Qualiteye was founded by Sudarsh M. Sathianathan, a quality engineer with 13+ years building software that other people inherit — frameworks, pipeline gates, and the standards teams rely on long after you've moved on.
Simulr is our first product — built from a simple observation: product teams ship blind. You test if the app works. Nobody tests if real users understand it. Simulr fixes that by running AI personas through your product before a single real user sees it.
Qualiteye is based in Bengaluru, India. We're currently in early access and looking for product teams to build with.
Early access to Simulr, consulting engagements, partnerships, or a conversation about quality engineering — we're open to it all.