Better software quality is a decision. Make it.
Your team moves at AI speed. Your quality function wasn't built for it. We close the gap — with the right people, the right process, and AI where it actually helps.
Pick the problem. We know how to fix it.
Six ways in, from one stubborn gap to a whole quality function. Start where it hurts most. They compound.
Quality Delivery Assessments
A straight read on where delivery actually stands, and what to fix first.
Continuous Testing & Automation
Fast, stable releases through CI-integrated testing that runs without anyone thinking about it.
Performance & Reliability Engineering
We find what breaks under load and fix it before your users do.
AI-Powered Quality Engineering
AI as an accelerator across your quality function: smarter coverage, faster feedback.
Quality Leadership & Consulting
Strategy, transformation, and the leadership to make it stick across your whole org.
Managed Quality Engineering
A full QE team embedded in your delivery: manual, automation, and everything between.
From first conversation to first results.
Simple, transparent, and predictable. You tell us what's broken. We come back with what we found and how we'd fix it. No lengthy onboarding, no surprise scope.
Say what's going wrong
One conversation. You describe what's broken. We listen without a sales script.
We assess
Within a week we come back with what we found, what's causing it, and how we'd fix it.
You decide
No pressure. If it fits, we start. If it doesn't, you keep the findings.
We deliver
Embedded in your process, accountable for outcomes, not just hours.
Quality lives in your delivery process — not after it. In your team's thinking, not in a separate report. Measurable, engineered, and built to compound. Detix Services is the people, the practice, and the tooling to build that in. And the evidence that it worked.
The same commitments across everything we make.
Platform, tooling, and advisory work are different jobs. These four hold for all of them.
Evidence over opinion
A decision to ship, to invest, or to change course should rest on evidence. Everything we make shows its working — so you can challenge the conclusion, not just trust it.
Your data stays yours
Your code, requirements, pipelines and spend describe your business in detail. You decide where that data lives and who sees it — as a managed service or entirely inside your own infrastructure.
Tools and judgement together
Software reports; people interpret. We build the platform and the tooling, and we do the hands-on work — because either one alone stalls.
Measurable, or it didn't happen
Fewer escaped defects, shorter cycles, sharper AI spend — improvement has to show up in numbers someone outside engineering can read. Everything we make is built to prove its own return.
Notes from the work.
What we keep finding inside delivery teams, and what survives contact with a real release.
· 6 min readWhy Most Companies Are Not Building an AI-Native SDLC
Read the postVadym Kovryzhkin
· 5 min readLLMs Make Development Cheaper, but Not Always the Process Itself
Read the postVadym Kovryzhkin
Tell us where it hurts.
Slow releases, flaky suites, a quality function that can't keep up. Tell us what delivery looks like for you today, and we'll tell you where we'd start.