Test strategy, automation, and AI-feature evaluation — so releases stop being scary, including the ones that touch models.
End-to-end suites that catch breaks before customers do.
Load, soak, and chaos tests for the paths that matter.
Eval harnesses for LLM, RAG, and ML outputs — quality that doesn't drift silently.
Smoke suites and pre-prod checks that gate deploys without slowing them.
Decide what to automate, what to leave manual, and where the risk actually lives.
Tests that protect business logic and module contracts — not implementation details.
Playwright, Cypress, or Detox suites tuned for stability, not flake.
Output quality metrics, regression suites, and drift alerts for AI-powered features.
We design test pyramids that match your risk profile and team size — and we wire quality signals into CI/CD, not just dashboards no one reads.
Unit-heavy, integration in the middle, E2E sparingly — sized to actual risk.
Tests, linters, and security scans that run on every change with clear feedback.
Coverage where it matters, flake tracking, and quality KPIs you can actually act on.
Understand current coverage, flake, and pain points — not just numbers, the lived reality.
Sequence quick wins (smoke, critical paths) before deeper investments.
Build the suites and CI integration; train the team to own and extend them.
Embed quality habits so the suite stays useful, not just bigger.
Connect SaaS tools, custom systems, and legacy platforms so data flows smoothly.
DataData foundations for applications, analytics, and AI.
DesignInterfaces and product flows that make complex workflows — and AI — feel simple.
A short audit usually points to 2–3 changes that improve confidence fast — and a longer plan for the rest.
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