QA Engineers specializing in AI-driven testing
Cities across the US, Europe and LATAM
Reduction in manual testing time
Test suites automated and counting
Bug detection rate before production
Why teams come to us
Most engineering teams don’t have a QA problem. They have a scale problem. Tests fall behind, coverage drifts, and manual regression cycles eat sprint time that should go to shipping. Hiring a full QA team takes months. Building an in-house automation practice takes longer.
We solve that without the ramp-up cost: AI-driven test generation, self-healing suites, and engineers who’ve done this across web, mobile, and APIs.
AI-powered testing. Human-validated quality. From unit tests to end-to-end coverage.
Ship with confidence. Every build, every branch.
We combine senior QA engineers with AI testing agents to automate quality assurance at scale, without trading thoroughness or security for speed.
AI-driven test automation
AI handles generation, execution, maintenance, and reporting. QA engineers handle strategy, validation, and the edge cases that matter.
End-to-end test coverage
Full coverage across web (Selenium, Playwright, Cypress), mobile (Appium, Detox), and API layers (Postman, REST Assured). Visual regression and accessibility compliance included.
Performance & load testing
Stress testing with JMeter, Gatling, and k6. AI analysis flags bottlenecks before they reach users.
AI-powered test generation
GPT, Claude, and specialized testing models generate test cases from requirements, user stories, and existing codebases. Coverage grows automatically as you ship.
Continuous testing integration
Plugs into Jenkins, GitHub Actions, GitLab CI, and CircleCI. Tests run on every commit. Failures are triaged automatically, and selectors self-heal when the UI changes.
Your QA team, operational in 3 weeks.
Autonomous agents handle the volume. Engineers handle the judgment.
A modern QA workflow where AI covers the repetitive work and experienced engineers own quality outcomes.
Testing agents
AI agents handle test case generation, execution, and maintenance. QA engineers design the strategy, validate coverage, and set quality standards.
Intelligent test generation
AI analyzes requirements, user flows, and code changes to generate test cases automatically, from unit tests to complex integration scenarios.
Self-healing tests
When UI changes break tests, AI agents update selectors and locators automatically. Up to 80% less maintenance overhead.
Human in the loop
Every critical path and edge case goes through an experienced QA engineer. AI gives you speed and scale. The engineer makes sure the business logic is actually right.
Automated failure analysis
AI triages failures, spots patterns, and surfaces fix suggestions. Test failures become insights, not just red builds.
New York, Miami, Santo Domingo, Los Angeles, Lisbon, Mexico City
We follow the same approach every time to help companies grow:
Coverage audit
We map your current test coverage and identify gaps in week one. Your QA team is operational by week three.
Embedded integration
We plug into your existing workflow (Jira, GitHub, Slack) and have automated pipelines running from day one. No disruption to how your team works.
AI-first QA
Faster test creation, self-maintaining suites, and instant failure diagnosis. Coverage improves automatically with every sprint.
Compounding coverage
AI agents learn from every run and expand coverage based on code changes, user behavior, and production incidents. The suite gets smarter without extra work from your team.
The GBH Difference
Talk to a QA lead who will actually work on your engagement. No sales handoff.
We design your test strategy and build out automation from unit tests to end-to-end, integrated with your CI/CD from the start.
We work alongside your developers, train your team, and keep coverage growing as your product evolves.