Trusted by companies across the USA
Catch bugs before your users do, every single release.
Manual QA doesn't scale. We build automated test suites that run on every code push, flag regressions before they reach production, and give your team confidence to ship faster. We have been doing this since 2015 across more than 500 projects.
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Trusted by companies across the USA
A fintech startup we worked with was spending 40 hours per release cycle on manual regression testing. Their QA team was clicking through the same 200 screens every two weeks, and bugs were still slipping through. Within six weeks of building out a Cypress end-to-end suite and a Jest unit layer, their regression run dropped to 14 minutes and ran automatically on every pull request. That is what automated testing is actually for: not replacing your QA team, but replacing the repetitive, error-prone parts of their job.
Automated testing covers more ground than most teams realize. There is unit testing (individual functions and components), integration testing (how your services talk to each other), end-to-end testing (full user flows from login to checkout), API testing (contract and performance validation), and load testing (how your system holds up under real traffic). Most projects benefit from a mix of all five, weighted toward wherever your highest risk lives. A payments feature needs heavier API and integration coverage. A public-facing marketing site needs end-to-end flows. We spend time understanding where your application is most likely to break before we write a single test.
Here is an honest limitation worth knowing: automated tests are only as good as the scenarios they cover. A test suite can give you a false sense of security if it was built to test happy paths and ignores edge cases. We write tests that deliberately probe failure conditions, not just the flows that work when everything goes right. We also document every suite we build so your internal team can maintain and extend it after we hand over the code. You own everything we build, and we make sure it does not become a black box.
A well-structured automated suite replaces days of manual regression with a pipeline job that completes in under 20 minutes. Your team stops dreading release day.
Every test engagement is scoped and priced before we start. You know exactly what you are getting and what it costs before a single test file is created.
We wire your test suite into your existing pipeline (GitHub Actions, GitLab CI, CircleCI, or whatever you use) so tests run automatically on every commit, not just when someone remembers.
Whether you need browser automation with Cypress, REST API validation with Postman and Newman, or load simulation with JMeter, we cover all layers of your stack.
Brittle tests that break on every minor UI update are worse than no tests at all. We write stable, maintainable tests with proper selectors and abstraction layers that do not crumble the moment a button label changes.
All test code, configuration files, and documentation are yours on delivery. We do not retain access or require a retainer to keep your tests running.
We use Cypress and Selenium to simulate real user journeys across your web application, from login to checkout to account management. Tests run headlessly in your CI pipeline on every push.
We write Jest test suites for your business logic, utility functions, and UI components so individual pieces are verified in isolation before they touch the rest of your app.
Using Postman collections and Newman for CLI execution, we validate your API contracts, response schemas, authentication flows, and error handling across every endpoint.
We use JMeter to simulate hundreds or thousands of concurrent users and identify where your application starts to degrade before real traffic exposes the problem.
We connect your test suite to your deployment pipeline so every pull request triggers a full test run and failed tests block bad code from reaching production automatically.
If you already have tests that are slow, flaky, or barely maintained, we audit what you have, identify what is worth keeping, and rebuild the rest into something your team will actually trust.
No 47-slide proposal deck. No three-month discovery phase. Here is how a project moves from your idea to working software.
Start Your ProjectWe spend the first week mapping your application's riskiest workflows before writing anything. This means reviewing your codebase, your existing QA process, and the bugs that have actually hurt you in production. From there we define coverage priorities and a testing strategy, not a generic test plan but a specific one for your app.
For testing projects, this phase is about designing the test architecture: folder structure, naming conventions, shared utilities, and how tests will be organized so they stay readable six months from now. We document the approach and walk you through it before building starts.
We write the tests in agreed layers, starting with the highest-risk areas first so you get immediate value. Every test is reviewed for stability, not just correctness. Fragile tests that depend on hard-coded delays or pixel-perfect selectors get rewritten before they are committed.
We run the full suite against your staging environment, deliberately introduce known issues to verify the tests catch them, and review coverage reports to identify gaps. You see the results in a shared dashboard before anything is handed over.
We integrate the suite into your CI/CD pipeline and run a live walkthrough over Zoom so your team understands how to read results, triage failures, and add new tests as the app evolves. You leave the call owning the process, not just the files.
After delivery, we offer a 60-day window where we fix any suite issues at no additional cost. If you ship major new features later and want coverage extended, we scope that as a separate fixed-price engagement. Nothing open-ended.
We are based in Gandhinagar, India, which means our engineers are deep into test development during your evening hours. You review results each morning instead of waiting for an end-of-day update.
The engineer who scopes your test strategy is the same person writing the tests and handing them over. We do not pass projects through layers of account managers or hand work off to a different team mid-project.
We have been building and delivering software projects for over 11 years across clients in 20+ countries. Automated testing has been part of our delivery process long before it became an industry buzzword.
We use Slack for async updates, Zoom for scheduled calls, and Loom to record walkthroughs so you can review our work at any hour. Our project managers maintain overlap with US Eastern and Pacific business hours.
All test files, configuration, CI scripts, and documentation are transferred to you on delivery. We sign NDAs before the project starts and you hold full IP ownership from day one.
We put a signed agreement in place before the first call ends. Scope, price, timeline, and IP terms are documented upfront so there are no awkward conversations later about who owns what.
Common questions about automated testing.
Share how you are testing today and we will show you specifically where automated testing would reduce risk and cut release time. No commitment required for the first conversation.
Include as much detail as you want. We typically reply within 24 hours.