Ship with confidence: automated test suites, manual exploratory testing, and continuous quality gates that catch bugs before your users do.
Quality isn't a phase. It's a discipline that runs through every sprint, every commit, every deployment. We build test architectures that integrate seamlessly into your CI/CD pipeline, catching regressions in minutes instead of days.
From unit tests that validate individual functions to end-to-end suites that simulate real user journeys across browsers and devices, we design, write, and maintain the test infrastructure that lets your team ship fast without breaking things.
Every species of test in our arsenal — classified by speed, scope, and purpose.
Tests individual functions and methods in complete isolation. The foundation of the testing pyramid: fast, cheap, and abundant.
Verifies that components work together — API endpoints, database queries, service-to-service communication, and message queues.
Simulates real user flows across the entire application — login, checkout, form submission — in real browsers on real devices.
Measures response times, throughput, and resource usage under load. Finds bottlenecks before your customers do during traffic spikes.
SAST, DAST, dependency scanning, and penetration testing. Identifies OWASP Top 10 vulnerabilities before deployment.
WCAG 2.1 AA/AAA compliance, screen reader testing, keyboard navigation, colour contrast, ensuring your product works for everyone.
Every bug follows a strict state machine — from discovery to verified resolution.
We don't just aim for high numbers. We target the coverage that matters, mapping every critical path.
ILLUSTRATIVE: example coverage map for a typical SaaS productWe pick the right tool for each layer of the test pyramid — no proprietary lock-in.
Cloud POS platform: Rust/Axum API, React admin & Flutter devices, multi-tenant with row-level security
A multi-tenant POS that handles real money and syncs offline can't afford a regression that leaks one tenant's data, mis-rounds a payment, or breaks a migration. The test matrix (tenants × payment paths × schema changes) is far too large to cover by hand.
Layered automated tests run on every change: over 1,200 Rust tests and counting, spanning unit and integration (including 90+ backend integration suites against a live PostgreSQL), alongside React unit tests with MSW-mocked APIs and Playwright end-to-end flows. CI blocks merges on clippy (-D warnings), a cargo-deny supply-chain scan, gitleaks secret scanning and formatting checks.
EV charging network: OCPP server, Cloudflare Workers backend & driver app, multi-vendor chargers
EV chargers implement the OCPP protocol slightly differently, and one vendor's firmware was non-compliant. Reproducing every edge case on real hardware — huge energy values, rapid meter updates, many simultaneous sessions — is impractical and slow.
238 automated test files across the OCPP server and backend, with enforced coverage gates (75% on the backend, 72%+ on the OCPP server) and OCPP 1.6/2.0.1 protocol-compliance E2E tests. A charging-station simulator drives many concurrent virtual chargers through the edge cases, so the platform is validated without touching hardware.
Multi-company accounting ERP: Django, schema-per-tenant isolation, invoice to ledger
A multi-tenant accounting system must never bleed one company's books into another's, and every figure (tax, journals, statements) has to reconcile. A single isolation or rounding bug is a compliance problem, not just a defect.
175 backend test suites built on django-tenants with per-test tenant scoping and JWT pinned to the active company, so isolation is asserted on every test. An opt-in end-to-end layer drives the live API and the MCP tool server to validate whole workflows (invoice to payment to journal) before release.
Let's build a test architecture that catches bugs before your users do.
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