You own everything
Tests, frameworks and pipelines live in your repositories, built on open-source tools. No proprietary platform, no lock-in.
QA automation and AI testing pipelines that ship with your code
We build automated testing for frontend, backend, mobile and LLM applications and wire it into your CI/CD, with AI-assisted test creation, failure triage and quality gates.
checkout-web pull request #482 All checks passed
- Lint, types and unit38s
- API and contract1m 04s
- End-to-end, three browsers3m 12s
- AI evals, RAG and agent1m 47s
- Performance budget52s
AI triage One flaky test quarantined, checkout.spec.ts (network race). No new failures linked to this change.
Built on the tools your team already runs
Open-source frameworks and your existing CI. Nothing proprietary to license.
- Web
- Playwright, Cypress, Selenium, WebdriverIO
- Mobile
- Appium, Maestro
- API and unit
- Pytest, Jest, Vitest, JUnit, Postman, REST Assured, Pact
- Performance
- k6, JMeter, Gatling, Locust
- AI evaluation
- Playwright MCP, Promptfoo, DeepEval, Ragas, LangSmith
- Pipelines
- GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI, Docker, Kubernetes
- Reporting
- Allure, ReportPortal
- Accessibility and security
- axe-core, OWASP ZAP
Everything you need to trust a release
From a single critical user journey to a full AI-assisted quality pipeline. Take one service or combine them.
AI Test Automation
AI-assisted test generation, self-healing locators and agentic testing, reviewed by engineers and committed as plain code you own.
Playwright, Playwright MCP, Cypress, Pytest, Claude
QA AI Pipelines & CI/CD
We design and integrate testing pipelines: parallel runs, smart test selection, flaky-test triage, AI failure analysis and quality gates on every pull request.
GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI
LLM & AI Application Testing
Evaluation suites for chatbots, RAG systems and AI agents: accuracy, hallucination, safety, prompt-injection and regression checks in CI.
Promptfoo, DeepEval, Ragas
Frontend & E2E Automation
Stable end-to-end and component tests with Playwright, Cypress or Selenium, covering cross-browser, visual regression and accessibility.
Playwright, Cypress, Selenium
API & Backend Automation
REST, GraphQL and gRPC test suites, contract testing between microservices, and database and event-driven validation.
Pytest, REST Assured, Postman
Performance & Load Testing
Load, stress and soak tests with k6, JMeter or Gatling, with performance budgets enforced in your pipeline.
k6, JMeter, Gatling
Mobile Test Automation
iOS and Android automation with Appium, Maestro and native frameworks, on emulators and real-device clouds.
Appium, Maestro, Detox
QA Consulting & Audit
QA audits, test strategy, framework architecture and fractional QA leadership for teams that need direction before headcount.
Playwright, Pytest, k6
From commit to confident release
We design the pipeline around your stack and add AI to the steps that normally cost your team hours: choosing tests, triaging failures and explaining what broke.
- 1
Commit
A pull request opens. The pipeline starts with lint, type checks and unit tests.
- 2
Smart selection
Test impact analysis picks the API, UI and contract tests affected by the change.
- 3
Parallel run
Suites run sharded in containers against an ephemeral environment with seeded data.
- 4
AI triage
Failures are grouped, flaky tests are flagged, and a likely root cause is posted on the PR.
- 5
Quality gate
Coverage, performance, accessibility and AI-eval thresholds decide pass or fail.
- 6
Report
Dashboards and trends show quality over time, in the tools your team already uses.
Works with GitHub Actions, GitLab CI, Jenkins, Azure DevOps and CircleCI, for frontend, backend and microservice repositories. Read about QA AI pipelines
Engineering-grade QA, without the overhead
AI where it helps
AI drafts tests, heals locators and explains failures. Engineers decide what is merged, and the checks that gate a release stay deterministic.
Built by practitioners
Led by a hands-on QA SDET lead. The person who scopes your project is the person who understands the code.
Measured results
We agree up front what success means, such as feedback time, flake rate or coverage of critical journeys, and report against it.
A simple process with visible progress
- 1
Discovery call
We look at your product, stack, current tests and release process, and agree on the outcome you need.
- 2
Audit & plan
You get a short written plan: what to automate first, the framework and pipeline design, and a fixed scope.
- 3
Build & integrate
We build the suite and pipeline in your repo in short iterations, with tests running in your CI early on.
- 4
Handover or run
We train your team and hand over, or stay on to maintain and extend the suite as your product grows.
Start small, scale when it works
Every engagement is scoped and quoted after a short discovery call.
For teams that need direction
Audit & roadmap
- Review of tests, pipeline and process
- Prioritised findings and quick wins
- A roadmap your team can execute
For a defined automation goalMost common
Build project
- Fixed-scope framework, suite and CI pipeline
- Frontend, backend, mobile or AI evals
- Documentation, training and handover
For ongoing capacity
Embedded QA
- SDET capacity inside your team
- Maintenance and growth of your suite
- Fractional QA lead when you need one
Questions we hear most
What does Eliptum do?
Eliptum is a QA automation company. We build automated test suites for frontend, backend, mobile and AI applications and integrate them into CI/CD pipelines, using AI to speed up test creation, maintenance and failure analysis.
What is a QA AI pipeline?
A CI/CD testing pipeline in which AI assists the costly manual steps: selecting the tests relevant to a change, detecting flaky tests, grouping and explaining failures, and suggesting fixes. The release decision still rests on deterministic checks and clear quality gates.
Which tools and frameworks do you work with?
Playwright, Cypress, Selenium and WebdriverIO for web; Appium and Maestro for mobile; Pytest, Jest, REST Assured, Postman and Pact for APIs; k6, JMeter and Gatling for performance; Promptfoo, DeepEval and Ragas for LLM evaluation; and GitHub Actions, GitLab CI, Jenkins and Azure DevOps for pipelines.
How long does it take to see results?
The first automated tests normally run in your pipeline early in the engagement, because we integrate with CI from the start rather than at the end. Overall duration depends on the scope we agree after the discovery call.
Do you work with startups or only larger companies?
Both. Startups typically need a lean suite covering the critical journeys and a pipeline that keeps releases safe. Larger teams usually need help with scale, flakiness, migration or AI adoption.
Who owns the test code?
You do. Everything is delivered in your repositories with documentation, and is built on open-source tools so you can maintain it without us.
Can you test applications that use LLMs or AI agents?
Yes. We build evaluation suites for chatbots, RAG systems and AI agents that measure accuracy, hallucination, safety and prompt-injection resistance, and run them in CI on every prompt or model change.
How do we get started?
Send us a message through the contact form with a few lines about your product and what you want to improve. We will reply by email to arrange a discovery call.
Tell us what you want to stop testing by hand
A few lines about your product, stack and biggest quality problem are enough. We will reply by email, usually within one business day, to set up a discovery call.
- No obligation, no sales script
- A concrete plan and a fixed scope
- NDA available on request
Or talk to us directly