EDELLENCE / SERVICES

Quality work shaped around your product risk.

From a focused QA audit to embedded quality engineering, EDELLENCE provides QA consulting, exploratory software testing and scalable Web, Mobile and API test automation for teams that need safer releases.

QUALITY SYSTEM
01Product risk
02Human insight
03Automation
04Delivery signals

One connected approach—not isolated testing activities.

Start where quality is creating the most friction.

You do not need to buy a predefined package. We can assess one release-critical area, build a missing automation layer, strengthen an existing QA function or work across the complete quality system.

Built inside real products—not prepared for a sales deck.

Representative engagements based on delivered work across multiple products and engineering environments. Client details remain confidential.

01MULTI-PLATFORM QUALITY FOUNDATION

From no shared QA system to one engineering approach across four product surfaces.

Built the quality process, coverage model and automation architecture from the ground up for a product spanning Web, a browser extension, iOS and Android.

  • QA process & release criteria
  • Web and extension automation
  • iOS and Android coverage
  • Frontend testability & test IDs
Delivered result

A maintainable quality foundation connecting product risk, test coverage and release decisions across every client surface.

02AUTOMATION RE-ENGINEERING

A large Cypress estate rebuilt as a scalable Playwright automation platform.

Led a deep migration rather than a syntax rewrite—reworking fixtures, abstractions, test data, reporting and CI execution while extending coverage through API testing and behaviour-level Cucumber scenarios.

  • Cypress → Playwright
  • Large regression suites
  • REST API testing
  • Cucumber & CI/CD integration
Delivered result

A cleaner automation platform built to support a high volume of tests without carrying forward the constraints of the legacy framework.

03AI & MCP SYSTEM RELIABILITY

AI and MCP integrations tested as complete, failure-prone systems.

Designed and executed coverage for AI-heavy products and MCP ecosystems with many external integrations—testing tool discovery and calls, schemas, authentication, context flow, error handling, retries and multi-service behaviour.

  • AI workflow validation
  • MCP clients, servers & tools
  • Integration & regression testing
  • Failure handling & recovery
Delivered result

Failures made visible at the boundaries that matter: model, client, server, tool and external service.

01

QA Strategy & Consulting

A practical quality system starts with a clear view of risk—not a larger test checklist.

We examine how your team plans, builds, tests and releases software, then turn gaps into a roadmap that fits the product, architecture and delivery cadence.

OutcomeA prioritised quality roadmap your engineering team can actually execute.

Typical scope
  • QA process and maturity assessment
  • Product and release-risk mapping
  • Coverage model and test strategy
  • Automation opportunity analysis
  • Roles, ownership and quality gates
02

Manual & Exploratory Testing

Automation checks what you already know. Exploratory testing helps discover what you do not.

We combine structured functional coverage with human investigation of real user behaviour, edge cases and the areas where product complexity creates hidden risk.

OutcomeSharper product feedback and fewer high-impact surprises after release.

Typical scope
  • Functional and regression testing
  • Risk-based exploratory charters
  • Critical user-journey validation
  • Cross-browser and responsive testing
  • Actionable defect reporting and triage
03

Test Automation

Automation should create fast, trustworthy signals—not another system your team has to fight.

We design maintainable frameworks around the right layers of coverage, with stable selectors, reusable fixtures, useful reporting and a structure your engineers can extend.

OutcomeScalable automation that supports releases instead of slowing them down.

Typical scope
  • Playwright, Selenium, Appium and Pytest
  • Web, Mobile and API automation
  • E2E, integration and regression suites
  • Test data and environment strategy
  • Parallel execution and failure diagnostics
04

Web & API Testing

Validate the customer experience and the distributed services that make it work.

We test browser behaviour, backend workflows, integrations and data contracts together, so teams can distinguish interface symptoms from underlying system failures.

OutcomeReliable product journeys across the complete application stack.

Typical scope
  • Cross-browser and responsive coverage
  • REST API functional validation
  • Integration and contract testing
  • Authentication and permission flows
  • Error handling and backend workflows
05

Mobile Quality Engineering

Mobile quality depends on devices, operating systems, networks and interruptions—not only screen flows.

We build focused iOS and Android coverage around critical journeys and real mobile conditions, balancing hands-on validation with sustainable Appium automation.

OutcomeMore predictable releases across the mobile environments your users actually have.

Typical scope
  • iOS and Android functional testing
  • Device and OS coverage strategy
  • Appium automation frameworks
  • Network, lifecycle and interruption cases
  • Mobile release regression
06

CI/CD Quality Integration

Quality becomes scalable when teams receive the right signal at the right point in delivery.

We place test suites, reporting and release controls inside your development workflow, with feedback designed to help engineers act quickly rather than inspect noisy dashboards.

OutcomeFaster feedback and clearer release decisions without a final QA bottleneck.

Typical scope
  • Pipeline and quality-gate design
  • GitHub Actions integration
  • Parallel and selective execution
  • Failure triage and reporting
  • Flaky-test analysis and maintenance

Modern products need more than traditional test coverage.

We apply the same engineering discipline to emerging architectures and non-deterministic systems.

AI QUALITY

LLM and agentic systems

Behavioural evaluations, RAG validation, tool-use flows, regression sets, reliability and production signals.

View AI testing
MCP ECOSYSTEMS

Clients, servers and tools

Schema contracts, authentication, resources, prompts, multi-server workflows, failures and interoperability.

View MCP testing
WEB3 PRODUCTS

dApps and wallet journeys

Signing, account states, transaction lifecycle, contract integration, RPC instability and network changes.

View Web3 testing

Tell us where quality is slowing the team down.

We will help you identify the most useful first step—whether that is strategy, hands-on testing, automation or integration.

Book a QA Consultation