Logiciel Solutions Contact Us
View all capabilities
Offshore Software Development
Offshore Development CompanyOffshore Software Development Services CompanyOffshore Software Development ServicesSaaS Engineering Services CompanyFull Stack Development ServicesWeb Application Development ServicesMobile App Development ServicesCustom Mobile App Development CompanyCustom CRM Development ServicesTechnical Debt Management ServicesCodebase Modernization Services
Product & Development Insights
Product Lifecycle Management for GenAI SoftwareSoftware Development Life Cycle vs Product Life CycleData Engineering vs Software EngineeringData Engineering Best PracticesBest Data Engineering Companies
Insights & Trends
Top AI Software CompaniesAI Software Development Trends 2025AI Software Development Pricing & ROI GuideQA Software Testing Explained for CTOsHow QA Testing Companies Structure EngagementsApplication Testing Across SDLCChoosing a QA Company
UI/UX Design
UI/UX Design & DevelopmentUser Experience Design ServicesUI Design OnlineUI/UX Design ServicesConversion Rate Optimization AgenciesEcommerce CRO ServicesWebsite Conversion Optimization FrameworkCRO Consultants vs In-houseCRO Engagement Models by Region
Enterprise AI Solutions
AI Compliance & SecurityAI Software Development ServiceAI Software Development SolutionsAI Software Development for SaaS CompaniesAI Software Development for PropTechAI Software Development Services for SaaS & PropTechGenerative AI Development CompanyAI & Data Engineering ServicesHire AI Software EngineersAI-Powered Automation ServicesAI-Powered Product Engineering Teams
Compare Logiciel
Logiciel vs LeewayHertzAI Software Development AlternativesLogiciel vs BairesdevLogiciel vs EleksLogiciel vs ThoughtbotEcommerce Company vs Agency
AWS Services
AWS Cost OptimizationAWS Database ServicesAWS CI/CD Pipeline AutomationAWS Cloud MigrationAWS DevOps ServicesAWS Managed ServicesAWS Services for Data Engineering
Construction Software
Construction Management SoftwareConstruction Supply Chain SoftwareConstruction Project Management SoftwareConstruction Management Software CompanyConstruction Industry Software SolutionsConstruction Company Project Management SoftwareProject Management Software for Small Construction CompanyConstruction Management Software for Small BusinessLandscape Construction Management SoftwareProcore Construction Management SoftwareConstruction Management System SoftwarePayroll Management Software for Construction & Real Estate
Agentic & Custom AI
AI Agent DevelopmentCustom AI Software DevelopmentAI MVP DevelopmentAI Software Pricing 2025Agentic AI ApplicationsAgentic AI DevelopmentAI in DevOps & Cloud OptimizationAI-Powered DevOps ServicesAI-Powered DevOps Automation ServicesAI in Legacy Modernization
Finance & HR
Magento DevelopmentData ModernizationQA Testing ServicesData Engineering vs AnalyticsAdobe Commerce MigrationData Engineering SolutionsConstruction PM SoftwareData Engineering USAAWS Security ConsultingData Engineering as a ServiceData Engineering ProvidersData Engineering CompaniesDevOps Automation
DevOps & CI/CD
DevOps CI/CD ServicesCI/CD Pipeline Development ServicesCI/CD Pipeline Security Services
Data Engineering
Data Engineering Services CompanyData Engineering CompanyData Engineering PlatformData Engineering & AnalyticsData Integration Engineering ServicesReal-time Data Pipeline Development ServicesSoftware & Data EngineeringSoftware & Data Engineering Technology
Chicago
Custom Software DevelopmentSoftware Development Services
About Contact Us
AI-first engineering

Managed QA Services.

Managed QA services for product teams that need reliable testing, automation, release coverage, and ongoing quality engineering without building a larger QA operation.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

15+
Years building production software
120+
Engineers across delivery pods
75+
Clients served in North America
3K+
Successful product releases
Why Logiciel

Why QA Becomes Harder as Products Scale.

Why Logiciel · 01

Release frequency grows faster than internal QA capacity.

Why Logiciel · 02

Regression suites expand as features, integrations, platforms, and user journeys multiply.

Why Logiciel · 03

Developers lose engineering time when testing ownership is unclear or QA coverage is inconsistent.

Why Logiciel · 04

Manual testing alone becomes difficult to sustain across frequent releases and complex products.

Why Logiciel · 05

Fragile automation can create more maintenance work than useful release confidence.

Why Logiciel · 06

Quality risks often appear across APIs, integrations, data flows, environments, and end-to-end journeys, not just individual screens.

Why Logiciel · 07

Teams need QA that operates as part of engineering, not as a final checkpoint before release.

What you get

What You Get With Logiciel Managed QA Services.

01

Dedicated QA ownership aligned with your product roadmap, engineering process, release cadence, and quality priorities

02

Broader release coverage across functional, regression, integration, API, exploratory, and end-to-end testing

03

Risk-based test planning focused on critical workflows and areas where defects would have the highest business impact

04

Scalable test automation for repeatable regression scenarios that should not depend on manual execution every release

05

Clear quality visibility through structured reporting, defect tracking, test results, release risks, and coverage insights

06

Integrated engineering workflows with QA working inside your development process rather than operating as a disconnected testing team

07

A continuously improving QA practice that evolves as your product, architecture, release cadence, and testing needs change

How we work

QA Coverage Across the Software Delivery Lifecycle.

01

Functional QA Testing

Validate features, workflows, business rules, permissions, states, edge cases, and expected application behavior before release.

02

Regression Testing

Maintain repeatable coverage across critical product journeys so changes can be validated consistently as the application evolves.

03

API and Integration Testing

Test service contracts, data exchange, authentication, business logic, failure conditions, and dependencies across connected systems.

04

Automated QA Testing

Build and maintain automation for high-value regression scenarios across interfaces, APIs, integrations, and critical user journeys.

05

Web and Mobile Testing

Validate customer and internal workflows across supported browsers, devices, operating environments, and application states.

06

Exploratory and Risk-Based Testing

Investigate high-risk areas beyond scripted test cases to uncover workflow gaps, unexpected behavior, and product quality issues.

07

Release Validation

Coordinate pre-release testing, defect verification, regression checks, quality reporting, and release-risk visibility before deployment.

What we build

Managed QA Models Built Around Your Product Team.

01

Dedicated Managed QA Team

A stable QA team works as part of your engineering organization, taking ownership of planning, execution, automation, reporting, and ongoing quality improvement.

What we build
02

QA Team Extension

QA engineers and automation specialists strengthen your existing team where additional capacity or specialist expertise is needed.

What we build
03

A defined testing initiative delivered around agreed products, releases, test coverage, automation objectives, or quality improvement goals.

What we build
Under the hood

Managed QA Services We Deliver.

01

QA Assessment and Test Strategy

We review your product, architecture, release process, existing test coverage, automation, defect patterns, environments, and QA bottlenecks.

02

Test Planning and Case Management

We define coverage around workflows, requirements, risk, release priorities, and traceability using practical test management processes.

03

Functional and Regression Testing

We execute structured testing across features, business rules, end-to-end workflows, regression scenarios, and critical user journeys.

04

API and Integration Testing

We validate service behavior, integrations, data flows, contracts, errors, authentication, and dependencies between connected systems.

05

Test Automation Engineering

We design, build, stabilize, and maintain automated QA testing across high-value UI, API, integration, and regression scenarios.

06

QA Tools and Test Management Integration

We work with appropriate QA testing software, automation frameworks, defect systems, and test management tools without adding unnecessary tooling complexity.

07

Release Quality and Continuous Improvement

We track defects, test results, recurring failure patterns, coverage gaps, and automation health to continuously improve the QA practice.

Insights

Managed QA Insights & Frameworks.

01

Risk-Based Test Coverage Model

A practical framework for prioritizing tests based on business criticality, change frequency, technical complexity, defect history, and customer impact.

↳ Insights
02

Manual-to-Automation Decision Framework

A structured way to decide which tests should be automated, which should remain manual, and where automation produces meaningful long-term value.

↳ Insights
03

QA Operating Model

A framework for defining testing ownership, release responsibilities, quality signals, automation maintenance, reporting, and continuous improvement.

↳ Insights
How we work

Our Managed QA Framework.

Step · 01

QA Baseline and Risk Assessment

We review your product, architecture, release cadence, current testing process, test coverage, automation, tools, environments, and recurring quality problems.

Step · 02

Coverage and Operating Model Design

We define testing priorities, ownership, manual and automated coverage, release workflows, reporting, and collaboration with engineering teams.

Step · 03

QA Environment and Tooling Setup

We align test environments, QA testing software, automation frameworks, test data, defect workflows, and test management practices with your delivery process.

Step · 04

Embedded Testing and Automation

Our QA team executes functional, regression, API, integration, exploratory, and automated testing as part of your normal development and release cycle.

Step · 05

Measure, Improve, and Scale

We track quality trends, improve coverage, reduce repetitive manual work, stabilize automation, and adapt the QA model as your product grows.

Selected work

Tailored engineering for your industry.

Zeme · Real EstateCut development costs 50% and launched 3× faster with dedicated dev teams.
Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · ConstructionScaled to 7-figure ARR with AI-augmented software teams.
Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate56M+ workflows automated, saving agents 30% time with AI-powered tasks.
Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

Patrick Fingles

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles
Patrick Fingles
CEO, Leap
Elior Alayev

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev
Elior Alayev
Founder & CEO, Zeme
David Buzzelli

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli
David Buzzelli
Co-Founder, JobProgress
Questions

Frequently asked questions.

What are managed QA services?

Managed QA services provide an ongoing testing function that can cover QA strategy, test planning, manual testing, regression, automation, API testing, release validation, reporting, and continuous quality improvement.

How are managed QA services different from hiring individual QA engineers?

A managed QA model focuses on ownership of the testing function rather than simply supplying additional people. It can include processes, coverage planning, automation, reporting, quality metrics, and ongoing improvement alongside day-to-day testing.

What types of software testing services can you manage?

We can support functional testing, regression testing, API and integration testing, exploratory testing, web and mobile testing, automated QA testing, end-to-end validation, and release testing depending on the product and engineering environment.

Can you work with our existing QA team?

Yes. We can operate as a complete QA function or work alongside an existing team to add testing capacity, automation expertise, specialist coverage, or stronger QA processes.

Can you improve our existing test automation?

Yes. We can assess current automation, identify flaky or duplicated tests, improve framework maintainability, strengthen reporting, reduce maintenance effort, and expand useful coverage.

Which QA testing software and tools do you use?

Tool selection depends on your technology stack, application architecture, existing processes, and testing requirements. We can work with suitable tools already in place or help evaluate alternatives where the current setup creates limitations.

How do you measure the effectiveness of a managed QA engagement?

Useful measures can include critical workflow coverage, regression execution, automation stability, defect patterns, escaped defects, test-cycle efficiency, release risk, and the amount of repetitive manual testing reduced over time.

Let's build

Make QA a Delivery Capability, Not a Release Bottleneck.

Build consistent test coverage, strengthen automation, and give your engineering team a QA function that can scale with the product without creating additional management overhead.