“I very much respect the knowledge that you have. You have a lot of things, just in our few communications, that no one else has mentioned. No one else has even made me think about them.”
QA & Testing
Quality engineering that makes shipping routine
Quality engineering for teams that cannot keep relearning the same production lessons. We build the automation, CI gates, and manual release discipline that make shipping routine instead of risky.
Why choose us for QA and testing?
Test depth follows business risk here: the paths that cost you money when they fail get covered deeply, and the suite that guards them is one your team can keep running.
A maintainable automation suite
Unit, integration and end-to-end coverage is built around the paths that cost you money when they fail, so the suite earns its keep instead of chasing a vanity percentage with brittle tests.
Quality gates in CI
Tests, coverage thresholds, linting and migration checks run on every pull request, so a broken build stops at the review stage rather than reaching production.
Release confidence on critical paths
The journeys your product cannot afford to break are mapped and tested first: sign-up, billing, permissions, data writes and third-party integrations.
AI feature evaluation
Ground-truth datasets, regression checks and output-quality scoring cover the AI features where normal assertions cannot tell you whether an answer is useful.
Performance baselines
Load tests on critical endpoints and repeatable performance thresholds give you a clear picture of where the system fails before real traffic finds out.
A release-ready QA handoff
Test strategy, runbooks, defect priorities and ownership are documented, so your team can keep the quality bar in place after we leave.
What we build in QA and testing
The checks that stand between a pull request and production, sized to the risk each path carries.
Automated regression suites
Unit, integration and thin end-to-end layers run on every pull request.
- Vitest, Jest, Pytest or Playwright, matched to your stack
- Controlled test data seeded and torn down per run
- Flaky tests quarantined rather than silently retried
API test harnesses
Contract and integration tests at every boundary your team does not own.
- Provider changes surface in CI, not in support
- Recorded fixtures for third-party responses
- Schema and status-code checks on every endpoint
Mobile device testing
Automated and exploratory coverage across real devices and OS versions.
- Store-review and first-run flows covered first
- Push, offline and permission prompts exercised on device
- Screenshots and crash logs captured per device
Performance and load testing
k6 or Artillery runs against critical endpoints with thresholds that fail the build.
- Load profiles modelled on real traffic patterns
- Latency and error budgets checked on each release
- Bottlenecks reported with the query or call responsible
Accessibility audits
Automated checks plus a manual screen reader and keyboard pass.
- Defects ranked by the journeys they block
- Colour contrast, focus order and labels verified
- Fixes retested with the same assistive tools
Release checklists
A runbook for each release, from what runs to how it rolls back.
- Automated gates listed beside the manual checks
- Named sign-off for each step before shipping
- Rollback steps rehearsed, not just written down
Recent products we shipped
Our most recent case studies. Each result is the one its own case study reports, in its own words.
30+ SKUs scanned into one Shopify draft order; the old version choked on large ones.
Draft Deputy
Shopify · Micro-SaaS
1,000+ skincare formulas resolved from a 60-second phone scan in 55+ San Pablo pharmacies, before the customer leaves the store.
2250
A.I · Custom Web App

3.5K students stayed online while a Lovable-built front end was mapped onto the live LMS.
Squid Academy LMS
SaaS · Custom Web App

Non-marketers launch Meta and TikTok campaigns from one plain form, and read both platforms’ results in one view instead of two ad managers.
AI Agent for Meta and TikTok Ads
MVP · SaaS
How we test
Four stages, from a risk-ranked test plan to a release your team can prove and repeat.
Map risk, not just files
We inspect the product, architecture, current suite, release history, and known incidents. The output is a risk-ranked test plan.
Build the test pyramid
Fast unit tests at the base, integration coverage around boundaries, and a thin end-to-end layer for core user journeys.
Wire quality into CI
The suite runs on pull requests with practical pass/fail gates, parallel execution, useful reports, and controlled test data.
Prove the release
Exploratory QA and load testing cover what automation misses. We hand over defects, baselines, and a maintainable release runbook.
- See our full process
What clients say after the build
Real client reviews, every one checkable at source.
Frequently asked questions
Straight answers about automation, coverage, flaky suites, and AI evaluation.
Yes. Human exploratory testing is valuable for new workflows, edge cases, accessibility, and usability. We automate repeatable checks and use manual QA where judgment adds more value than another script.

