Bugs keep reaching production
Release regression
A clear checklist for your core flows, run before every release, with bug reports your developers can act on right away.
How it works →Senior QA for startups that ship every week
Catch regressions before your users do. Start with a 2 week pilot and keep everything we build.
- Senior-led
- 2 week pilot
- You keep the code
ci / regression · pull request #128
$ npx playwright test --project=regression
✓ auth/login.spec.ts (6)
✓ onboarding/questionnaire.spec.ts (14)
✗ checkout/discount.spec.ts (1 of 9)
✓ ai/answer-accuracy.spec.ts (12)
✓ api/orders.spec.ts (5)
46 passed · 1 failed · blocked from merging
Example run. The failure gets fixed before release, not after a customer finds it.
What gets tested
- Release regression
- Playwright automation
- AI and LLM output testing
- API testing
- Web and mobile
- Performance and load
- Analytics and events
Release day panic → boring releases
Problems we fix
Small teams ship fast. Nobody owns quality.
Hiring a full-time QA lead is slow and expensive at your stage. These are the gaps that show up first.
Your AI gives a wrong answer and nobody notices
AI product testing
Golden test sets and accuracy checks for LLM features, so a prompt or model change does not quietly lower quality.
How it works →Developers are too busy to write tests
Test automation
Playwright and TypeScript suites with Page Object Model, running in your GitHub Actions CI on every pull request.
How it works →Track record
Tested where mistakes are expensive
US telehealth platform
Patient questionnaires, provider and patient chat, checkout and discount logic, and analytics tracking. Playwright suite running in CI with end-to-end event validation.
Fintech and payments
Digital wallet and payment flows on ISO-8583, transactions verified through SQL reconciliation, and payment APIs load tested with JMeter and k6.
Regulated healthcare software
Testing for FDA and ISO regulated healthcare products, including building and mentoring a team of ten junior QA engineers.
Cloud and event-driven systems
Microservices on AWS with SQS, SNS, EventBridge, Lambda and API Gateway, plus performance testing with Gatling.
How a pilot works
Try it for two weeks before you commit
15 min call
You show us the product and the part of it that worries you most.
2 week pilot, fixed price
We map your critical flows, run a full regression pass, and automate the most important paths.
You decide
You keep the test plan, bug reports and automation code either way. Continue monthly only if it was worth it.
Security and data handling
Built for healthcare and fintech teams
QA rarely needs your real customer data. We set up the work so it never has to touch it.
Staging and synthetic data
We test in your staging or test environment with test accounts, fake patients and sandbox payment cards. No real patient records or card numbers.
Least access
We ask only for what the work needs: a test environment, test credentials and your bug tracker. Access is removed when the engagement ends.
NDA and BAA
We sign your NDA before seeing the product. If your setup requires access to protected health information, we sign a Business Associate Agreement first.
Production stays untouched
We never write to a production database or change production settings without your explicit written confirmation.
Questions founders ask
Before you book a call
Do you work in US hours?
We are based in Lahore (PKT, UTC+5). Our evening overlaps with US mornings, so you get a daily overlap for calls and bug triage, and testing runs while your team sleeps.
What do you need from us to start?
Access to a staging or test environment, a test account, and your bug tracker. We do not need production access, and we never write to a production database without your explicit confirmation.
Which tools do you work in?
Whatever you already use: Jira, ClickUp or Linear for bugs, GitHub Actions for CI, and Slack for daily updates. Automation is written in Playwright with TypeScript, committed to your repository.
Will you sign an NDA?
Yes. We sign your NDA before we look at your product.
What happens after the pilot?
You choose. Stop and keep everything, continue on a monthly plan, or bring us in only around releases.
Services
QA that fits how startups actually ship
Pick one service for the pilot, or combine them. Every engagement ends with assets your team owns: test plans, bug reports and automation code in your repository.
01 · Most requested
Release regression
For teams shipping weekly with no dedicated QA.
We map the flows that make you money or keep users safe, then test them before every release. Bugs go straight into your tracker with steps, expected and actual results, and a recording.
- Critical flow map and risk ranking
- Regression checklist per release
- Bug reports in Jira, ClickUp or Linear
- Go or no-go summary before deploy
- Cross-browser and mobile web checks
- Post-release smoke test in production
02
Test automation
For teams who want regressions caught on every pull request.
Playwright and TypeScript suites built the way your developers would build them: Page Object Model, fixtures, saved login sessions and parallel runs, wired into GitHub Actions.
- Framework setup in your repository
- Smoke, regression and nightly tiers
- CI on every pull request
- Readable reports with traces and screenshots
- Stable selectors, no flaky sleeps
- Handover so your team can extend it
03
AI product testing
For products built on LLMs, chatbots and AI agents.
AI features fail quietly. We build a golden set of real inputs with expected answers, score outputs for accuracy and safety, and rerun it whenever a prompt, model or data source changes.
- Golden test set from real scenarios
- Accuracy and hallucination checks
- Edge cases and unsafe input tests
- Regression run on prompt or model changes
- Agent workflow testing end to end
- Clear pass and fail criteria your team agrees on
04
API and data testing
For products where the numbers have to be right.
We test your APIs directly and check that what the user sees matches what is stored. This is where payment, billing and reporting bugs hide.
- REST API functional and negative tests
- Read-only SQL data verification
- Analytics and event tracking validation
- Reconciliation of UI, API and database
05
Performance and load
For launches, campaigns and fundraising demos.
Find the breaking point before your users do. We model realistic traffic on your key endpoints and report where response times degrade.
- Load tests with k6, JMeter or Gatling
- Baseline and peak traffic scenarios
- Bottleneck report with response times
- Repeatable scripts kept in your repository
Ways to work together
Start small, grow when it pays off
2 weeks · fixed price
Pilot
- One product area or service
- Full regression pass
- Top flows automated
- Findings report and next steps
Monthly
Ongoing QA
- Regression before every release
- Automation grows each sprint
- Daily updates in Slack
- Cancel any month
Per release
Release support
- For teams with irregular releases
- Book QA around launch dates
- Go or no-go report
- Post-release smoke test
Use cases
Where startups bring us in
Most teams call us at one of these moments. If yours looks similar, the pilot is usually the right first step.
AI and LLM products
Your AI feature works in the demo, not always in real use
- The situation
- Answers change after a prompt or model update, and nobody notices until a user complains.
- What we do
- Build a golden test set, define pass criteria, and rerun it on every change.
- What you get
- A quality score you can track release to release.
Healthtech
A bug here can affect a patient
- The situation
- Questionnaires, provider chat, prescriptions and checkout all depend on each other.
- What we do
- Map clinical and payment flows, test role permissions, and automate the paths that must never break.
- What you get
- Release evidence you can show to partners and auditors.
Fintech and lending
The numbers have to match, every time
- The situation
- Payments, balances and reports flow through several systems, and errors cost real money.
- What we do
- Test transaction flows end to end and reconcile UI, API and database with read-only SQL.
- What you get
- Fewer reconciliation surprises and a regression suite for money paths.
SaaS shipping weekly
Every release breaks something old
- The situation
- New features ship fast, and older flows regress because nobody retests them.
- What we do
- Set up Playwright in CI so every pull request runs the core regression suite.
- What you get
- Regressions blocked at merge, not reported by customers.
Before a launch or demo day
You have one shot to make it work
- The situation
- A launch, a big customer onboarding or an investor demo is coming, and the product has never been fully tested.
- What we do
- Run a focused regression and load test on the flows that will be shown.
- What you get
- A go or no-go report with the issues ranked by risk.
Cloud and event-driven backends
The bug is between your services
- The situation
- Queues, events and serverless functions fail silently, and the UI looks fine.
- What we do
- Test message flows across services and verify each step's output.
- What you get
- Visibility into failures your UI tests never see.
About
Senior QA, without the overhead
360qai is a QA and test automation company based in Lahore, Pakistan, working remotely with US teams.
We started 360qai because early-stage startups kept facing the same problem: they ship fast, they cannot yet justify a full-time QA lead, and agencies are built for large clients with long contracts. We built a smaller model. Senior engineers, short pilots, and everything you pay for stays in your repository.
Our work spans fintech and payments, US telehealth, FDA and ISO regulated healthcare software, streaming, and cloud backends on AWS. We use AI agents in our own QA workflow to move faster without cutting corners.
PlaywrightTypeScriptCypressCucumberGitHub ActionsREST APIsSQLJMeterk6GatlingAWSPostHog
How we work
Three rules we do not bend
Honest reporting
If a release is not ready, we say so, with evidence. A go or no-go means exactly that.
You own everything
Test plans, bug history and automation code live in your tools and your repository, not ours.
Safe with your data
We test in staging, use test accounts, and never write to production without your explicit confirmation.
Make your next release boring
Tell us what you ship and what keeps breaking. We reply within one working day.