ISTQB-certified. 15+ years. 18,000+ hours across SaaS, e-commerce, and AI-powered products. We combine manual expertise with AI-assisted workflows to test faster, deeper, and earlier in the cycle.
AI tools have changed how products are built — but most QA teams haven't kept up. We test the full stack: web app flows, API contracts, LLM outputs, chatbot guardrails, and the edge cases your AI generates that no one planned for.
Manual & Exploratory
END-TO-END USER FLOWS
Edge cases, regression, accessibility, UX friction — including the paths your automation never touches. Cross-browser via BrowserStack.
Automation
CYPRESS · PLAYWRIGHT · SELENIUM
Regression suites, smoke tests, CI/CD-ready pipelines. API contract testing via Postman. Tests your developers can maintain.
AI & LLM Testing
THE LAYER MOST AI TEAMS SKIP
Hallucination detection, prompt boundary testing, guardrail validation, response consistency, latency under load, fallback behaviour.
Conversion & UX QA
FLOWS THAT FAIL USERS
Confusing navigation, broken CTAs, form errors, mobile layout failures — identified before they reach production.
Performance & API
LOAD · STRESS · INTEGRATION
Load and stress testing, API validation, third-party integration testing, performance profiling on real devices.
Chatbot & Copilot QA
RAG · AGENTS · ASSISTANTS
Multi-turn conversation testing, context retention, tool-call accuracy, retrieval relevance, safety boundary validation.
01
Day 1 — Test Plan
Scope, coverage, risk priorities, environment and timeline — before any testing begins.
02
Daily — Slack Updates
Daily async progress. You always know what's tested, blocked, and next.
03
Per Bug — Structured Reports
Steps, expected vs actual, priority (P1–P4), URL/module, video, and API logs.
04
End — Test Closure Report
Defect metrics, pass/fail rates, quality assessment, and sign-off recommendation.