Functional testing validates that every feature behaves according to requirements — inputs produce correct outputs, business rules execute properly, and workflows complete end-to-end. If it's supposed to work, we prove it does.
Requirements-traceable test cases · Positive & negative paths · End-to-end workflows
30 minutes · Senior engineer · No commitment
Every requirement validated — not just the happy path.
Each test case traces to a user story, acceptance criterion, or specification — full coverage visibility.
Valid inputs, correct permissions, and expected workflows produce the right results.
Invalid inputs, wrong permissions, and edge conditions handled gracefully with proper errors.
Min, max, and just-outside-boundary values tested for numeric fields, dates, and limits.
Multi-step processes spanning modules — signup to payment to onboarding to first action.
Pricing tiers, discount logic, approval workflows, and role permissions verified against spec.
When requirements validation is non-negotiable.
Each user story tested against acceptance criteria before marking done — no 'works on my machine.'
New billing tiers, permission models, or admin features validated against product spec.
Documented functional test evidence for audits, investor diligence, or regulatory review.
Independent functional validation of outsourced development before accepting delivery.
Teams searching for functional testing services usually hit these walls before finding reliable coverage.
New features ship fast but nothing verifies existing flows still work.
Engineers test happy paths; edge cases in billing, roles, and permissions slip through.
Without test cases and matrices, releases feel like gambling.
Testing in launch week makes fixes expensive and stressful.
150+ products shipped · AI-app specialists · US/UK/AU clients with timezone overlap.
Testers who understand Laravel, React, Flutter, and Supabase — not script runners only.
We know where Lovable, Cursor, and Bolt cut corners on auth, RLS, and edge cases.
Screenshots, repro steps, severity ratings, and environment details — devs fix faster.
Go/no-go reports your stakeholders can trust before production deploys.
Typical functional testing services engagement from kickoff to sign-off.
We match tooling to your stack — manual exploration first, automation where ROI is clear, and CI integration for repeatable smoke suites.
NDA before staging access; read-only repo when code review is in scope.
Anonymized fixtures; no production PII in bug reports unless explicitly approved.
“What a 70-engineer team could not deliver, a small senior team at GreeLogix shipped. The app went from stuck to live across mobile, web, and backend.”
Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.
Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.
Functional testing services validate that software features work according to specified requirements — testing inputs, outputs, business rules, and end-to-end workflows through structured black-box test cases with full requirement traceability.
Typical timeline: Sprint audit: 2–5 days. Full release cycle: 1–2 weeks. Ongoing QA: monthly retainer with 40–80 hours.
GreeLogix pricing tiers: Sprint Audit: $800 – $2,500 — Focused testing for a single release, hotfix, or feature slice. Release Cycle: $2,500 – $8,000 — Full regression and exploratory coverage for a major release or launch. Ongoing QA: $3,500 – $12,000/mo — Embedded QA engineer for continuous sprint and release coverage.
Sprint audit: 2–5 days. Full release cycle: 1–2 weeks. Ongoing QA: monthly retainer with 40–80 hours. Phases: Strategy (Week 1); Execution (Per sprint); Automation (Parallel).
Compared to alternatives — Developer-only testing: choose when Internal prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Mature CI with known stack; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
Answers to the buyer questions we hear most before a project starts.
Map acceptance criteria to testable conditions.
Positive, negative, and boundary test cases.
Systematic validation with evidence.
Coverage matrix and sign-off.
Functional testing with full requirement traceability. Scoping call in 30 minutes.
Validate AI-generated code, ship with confidence, and catch issues before launch.
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Case studies, guides, and free tools from the same engineering team.
Requirements-driven validation with full traceability.
Review user stories, specs, and acceptance criteria to identify testable conditions.
Positive, negative, and boundary cases with preconditions, steps, expected results, and requirement IDs.
Valid and invalid datasets, role-based accounts, and edge-case configurations.
Systematic execution with pass/fail evidence, screenshots, and defect logging.
Requirements traceability matrix showing tested vs untested acceptance criteria.
Tangible artifacts your engineering and product teams can act on — not vague pass/fail notes.
Transparent ranges based on app complexity, platform count, and engagement depth. Final quotes follow a scoping call.
$800 – $2,500
Focused testing for a single release, hotfix, or feature slice.
$2,500 – $8,000
Full regression and exploratory coverage for a major release or launch.
$3,500 – $12,000/mo
Embedded QA engineer for continuous sprint and release coverage.
Prices in USD. Retainers and multi-platform engagements quoted after scope review. QA as a Service available for ongoing coverage.
Every type of testing your product needs — from manual audits to AI-app hardening and accessibility compliance.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.