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.

Zoryatek supports product, engineering, and QA teams on concrete challenges around delivery reliability, release quality, and sustainable automation.

  • Senior QA, automation, and delivery support grounded in real delivery contexts.
  • Pragmatic approach: clarify priorities, structure execution, and secure decisions.
  • AI used as an operational lever with explicit governance and human validation.
  • Direct engagement model, without heavy consulting overhead.

What sets us apart

Senior posture, sober delivery, practical results.

Root-cause focus

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

Concrete action

Every recommendation is tied to executable actions, owners, and follow-through.

Team autonomy

The goal is stronger internal capability, not prolonged dependency.

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 scoping call