About

A firm specialized in QA, delivery, and automation.

We help organizations improve software quality through structured, pragmatic, and execution-focused interventions.

Senior consulting in QA, delivery, automation, and applied AI.

Mission

Make quality decisions clearer and improvement actions more reliable.

Our role is to turn ambiguity into explicit priorities, then into operating changes teams can sustain over time.

Portrait of the Zoryatek founder

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Founder

Senior expertise, direct execution.

Over two decades in software delivery, including a decade in DevOps and cloud. A career spanning dev, ops, QA, and AI — bringing depth from test code to release strategy. Zoryatek supports product, engineering, and QA teams on concrete challenges around delivery reliability, release quality, and sustainable automation.

  • Senior support spanning dev, ops, QA, and AI — from test code to release strategy.
  • Training and coaching to grow your teams’ autonomy, without prolonged dependency.
  • AI used as an execution lever with explicit governance and human validation.
  • Flexible format: weekly hours defined with you, no heavy consulting overhead.

What sets us apart

Senior posture, sober delivery, practical results.

Full-stack technical depth

Over two decades in software delivery, including a decade in DevOps and cloud. We read your test code, review your CI/CD architecture, and propose concrete refactors — not just strategic recommendations.

Scale through training

Rather than creating dependency, we transfer skills. Nearly a decade of training and coaching for QA leads and product teams, to anchor a durable quality culture.

Root-cause focus

We address systemic causes, not only end-of-cycle symptoms.

Pragmatic AI usage

We use AI as an execution lever with QA human validation.

Domains of intervention

Where we create measurable value.

QA governance and release quality

Clarify release criteria, improve risk visibility, and support better release decisions.

Test automation and CI/CD reliability

Stabilize suites, reduce noise, and increase the decision value of automated signals.

Product / engineering / QA alignment

Define shared routines and responsibilities to reduce late-stage friction and rework.

AI applied to QA

Targeted use cases, clear governance, and value tracking over time.

Who this is for

For teams that need better quality without losing delivery pace.

Product, engineering, and QA leaders

You need to prioritize quality using reliable signals, not conflicting opinions.

Teams shipping with uneven reliability

You want fewer production issues and more stable release decisions.

Growing organizations

You need stronger QA practices without adding heavy process overhead.

Principles

How we work

  • Prioritize what materially improves perceived quality.
  • Move in short, verifiable, and trackable cycles.
  • Keep trade-offs explicit and decision paths traceable.
  • Build practices that remain effective over time.

AI assists. QA decides.

Looking for a QA partner with high standards and practical execution?

Let’s discuss your context and define the right level of intervention for your teams.

Book a call