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QA & Testing

Confidence you can ship on. Test engineering built into the delivery process — so every release is a routine event, not a bet on nothing breaking.

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When QA becomes an engineering problem

  • Releases are events, and not the good kind

    Deployments need all hands on deck, happen at night, and get postponed "until things calm down." Delivery speed is capped by fear, not capacity.

  • The same bugs keep coming back

    Fixes in one place break another. Without regression coverage, every change re-opens old wounds — and the team re-tests everything by hand, every time.

  • Test automation exists, but nobody trusts it

    Flaky suites, red builds ignored, tests skipped to hit deadlines. Automation that cries wolf is worse than no automation at all.

  • Code volume has outgrown review capacity

    AI-assisted development multiplied output. Testing is now the only independent check standing between generated code and production users.

  • A defect in production is no longer just a bug

    Lost bookings per minute of downtime, transactions that don't reconcile, alerts operators learn to ignore — in your industry, quality gaps become revenue and compliance events.
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Quality as an engineering discipline

TEST STRATEGY

Testing designed around what failure actually costs.

  • Risk-based strategy: critical paths covered first
  • Right mix of unit, integration & end-to-end coverage
  • Test design for money paths, data integrity & edge cases
  • QA process audit for existing teams

AUTOMATION

Test suites the team actually trusts.

  • Automation engineered for stability, not demo day
  • CI/CD integration: every commit verified automatically
  • Regression suites that make releases boring
  • Maintainable frameworks your team can extend

SPECIALIZED TESTING

The failures that only show up under pressure.

  • Performance & load testing against realistic peaks
  • Integration testing across third-party systems
  • Security-focused test scenarios
  • Data migration & reconciliation verification

QUALITY IN THE PIPELINE

Not a phase. A property of the process. Quality checks run from the first commit to production monitoring — finding issues where they're cheapest to fix.

  • Shift-left: testing starts with requirements, not after code
  • Quality gates in CI/CD — no manual bottlenecks
  • Production monitoring closes the loop back to tests
  • Works embedded in your team or as an independent function

How QA engagement works

  1. Quality assessment
    Stage 01

    Quality assessment

    Current coverage, processes, and escaped-defect history reviewed. Where quality actually stands — measured, not felt.
  2. Risk mapping
    Stage 02

    Risk mapping

    Business-critical flows identified and ranked: what must never fail, what fails expensively, what can tolerate a bug.
  3. Strategy & Toolchain
    Stage 03

    Strategy & Toolchain

    Test approach, automation framework, and environments defined — fitted to your stack and release cadence, not a template.
  4. Automation build-out
    Stage 04

    Automation build-out

    Critical paths automated first. Suites wired into CI/CD so verification happens on every change, without asking.
  5. Specialized passes
    Stage 05

    Specialized passes

    Load, integration, security, and data-integrity testing against realistic scenarios — the conditions your users will create.
  6. Continuous quality
    Stage 06

    Continuous quality

    Metrics, monitoring, and maintained suites keep confidence current as the product evolves — with your team or ours running it.
Quality assessment
Stage 01

Quality assessment

Current coverage, processes, and escaped-defect history reviewed. Where quality actually stands — measured, not felt.

Start with a conversation

Tired of deployments that need all hands and prayers? Releases stalled until "things calm down"? The path from fear-driven shipping to routine deployment starts with honest talk about what your QA actually covers.

What must never fail — and how it's tested

Every industry has failure modes a generic test plan won't imagine. These are the scenarios worth engineering tests for.

Travel & Hospitality

  • Booking flows load-tested against sale-day peaks, not average traffic
  • Race conditions hunted deliberately: double bookings, expired holds, stale availability
  • Pricing and currency logic verified across providers, caches & time zones
  • Failover testing for GDS/NDC dependencies — graceful degradation, not blank screens
  • Refund, exchange & cancellation paths tested through their full lifecycle
Learn more
TravelTech

Maritime & Logistics

  • Vessel–shore sync tested against connection loss mid-transfer — data survives, duplicates don't
  • Telemetry pipelines verified for gaps, out-of-order data & sensor dropout
  • Alert logic tested for the failure mode that matters: alarms crews learn to ignore
  • Integration testing across port systems, onboard hardware & shore platforms
  • Compliance data flows verified end-to-end — reported numbers trace to source
Learn more
Maritime & Logistics

Energy & Mining

  • Offline-first field apps tested through the full sync-conflict matrix
  • Telemetry verified at 10x volume — before growth makes it production's problem
  • Alert thresholds tested against both misses and noise across multiple sites
  • Degraded-mode behavior verified: what the system does when sensors go dark
  • Long-cycle testing: data integrity over months, not just per release
Learn more
Oil & Gas / Mining

Finance & Banking

  • Every money path tested for idempotency — retries never double-charge
  • Reconciliation verified continuously: ledgers match, always, provably
  • Failure-mode testing: what happens mid-transaction when a dependency dies
  • KYC/onboarding flows tested across document types, edge cases & rejections
  • Audit trail completeness treated as a test criterion, not an afterthought
Learn more
FinTech

Case studies

Take a look at cases delivered by our teams to get a clearer picture of how your business can benefit from the services we offer.

View all cases
Intergaz

LPG Supplier Ecosystem

Multi-app ecosystem for Latvia's largest LPG supplier: customer portal, delivery, service and CRM with payments, telemetry and billing.

Energy
Logistics
CRM
IoT Platform
Web App
Read more
Business Class

Flight Booking Engine

Real-time flight booking engine aggregating airline and GDS data, with automated pricing and high-volume parallel search.

TravelTech
Booking Engine
GDS Integration
Web App
Read more
Bergman Marine

Passenger Check-in System

Passenger check-in and reporting system for German ferry operators: kiosk ticketing, barcode boarding and office-vessel data sync.

Maritime
Web App
Read more

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2
After reviewing your requirements, our technical team will develop a proposal.
3
We will discuss next steps and sign an NDA. Once everything is clear to both parties, we will send you a contract for signature and begin work.
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Case Studies
Take a look at cases delivered by our teams to get a clearer picture of how your business can benefit from the services we offer.
All Cases
eContent Creation Platform
EdTech

EdTech platform for ePublishing with modular architecture, role-based access and real-time content management for schools going online.

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Rental Management App
Real estate

All-in-one web platform for landlords, property managers, and agents to run the entire rental process online: digital leases, e-signatures, secure contract storage, and tenant screening.

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Voice Diary App
Lifestyle

Native SwiftUI app for voice journaling: audio notes with tags, categories, geolocation and media attachments, synced across Apple devices via iCloud.

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Global Payments Platform
FinTech

FinTech-as-a-service platform for freelancers and business: invoicing, global payments, multi-currency payouts and debit cards.

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