Product and engineering teams
Release frequently but need reliable regression coverage and faster feedback on critical journeys.
AI-augmented QA. Human judgment.
Release with evidence. Move forward with confidence.
Combine AI-assisted testing, automation, and hands-on quality engineering to find risks earlier, strengthen coverage, and make informed release decisions across your software lifecycle.
Quality throughout delivery
DEFINE WHAT QUALITY MEANS
Requirements, product risks, and acceptance criteria shape the test strategy.
Choose the right testing mix
An informed release decision
Coverage, findings, unresolved risks, and readiness evidence.
FIX Partner combines manual, automated, and AI-assisted testing for web, mobile, API, and integrated software products. We help product and technology teams reduce release risk, find regressions earlier, and establish repeatable quality checks when in-house QA capacity or coverage is limited.
Cut costs, save time, and deliver quality software with our expert QA team.
The right QA model depends on release frequency, product risk, and the testing capacity already inside your team.
Release frequently but need reliable regression coverage and faster feedback on critical journeys.
Need QA capacity without building an entire in-house testing function before the product is ready.
Must validate integrations, permissions, performance, and business continuity across complex systems.
Want an independent view of defects, residual risk, and release readiness before launch.
From initial analysis to continuous maintenance, we ensure quality at every stage.
Product evaluation, tech analysis, business analysis, outlining needs — understanding your quality goals from every angle.
Scope assessment, efforts estimation, timeframe, roadmap creation — building a clear path to quality assurance success.
Hiring criteria, talent scouting, interviews, team composition — assembling skilled experts with qualifications.
Onboarding, hardware/software setup, tools selection, launch — everything ready for comprehensive testing coverage.
Results assessment, recommendations, developer collaboration, documentation — continuous improvement and quality optimization.
Everything you need for complete quality assurance coverage.
Maximum precision and attention to detail for comprehensive quality assurance.
Automate thousands of tests for comprehensive coverage and faster releases.
Skilled experts with qualifications ready to handle your QA at any scale.
Revamp QA processes for efficiency, speed, and sustainable quality culture.
Comprehensive QA for any scale or complexity — end-to-end quality coverage.
Comprehensive testing across all platforms and environments.
Ensure accurate API functionality, performance, and security across all endpoints.
High-quality web application testing across browsers, devices, and platforms.
Help users love your mobile app with thorough iOS & Android testing coverage.
Stability and compatibility assessment across Windows, macOS, and Linux.
Every testing methodology you need for comprehensive quality coverage.
Verify your app is fulfilling its intended functions correctly and completely.
Ensure flawless performance across devices, browsers, and platforms.
User experience evaluation to guarantee intuitive, delightful interactions.
Validate UI logic and visual consistency for exceptional user experiences.
Validate software integrity after changes to prevent breaking existing features.
AI is an aid to the testing workflow, not an independent sign-off on product quality. The exact tools and data access are agreed with each client.
AI can help draft candidate test scenarios, organize requirements, and identify repetitive checks worth automating.
QA engineers check the relevance of suggested tests, investigate edge cases, and verify defects against actual product behavior.
Tool access, test data, security constraints, and final release decisions remain subject to the agreed project controls.
Automated checks, security validation, performance engineering, and operational feedback govern quality from planning through production.
A quality roadmap tailored to your product, architecture, and delivery model.
Prevent defects through early validation of requirements, design, code, and APIs.
Validate critical business workflows across web, mobile, APIs, and integrations.
Build maintainable automated checks that accelerate delivery through CI/CD.
Verify speed, stability, capacity, and scalability under realistic conditions.
Reduce security, dependency, and compliance risks across the software lifecycle.
Embed automated release controls into build, test, security, and approval pipelines.
Improve maintainability, security, documentation, and long-term software health.
Use production insights to validate releases and continuously improve quality.
Confirm every release meets agreed business and technical expectations.
Shift-left improves quality and delivery speed by design. Shift-right brings customer experience and operational priorities back into every release decision.
Validate requirements, architecture, acceptance criteria, and testability early.
Use static analysis, API checks, and automated tests inside CI/CD pipelines.
Prevent and resolve issues before they become expensive production defects.
Measure real user journeys, business impact, and experience after release.
Monitor reliability, availability, performance, and production behavior.
Turn telemetry and incidents into improvements for the next delivery cycle.
Continuous quality loop
Production insight continuously informs planning and engineering.
Plan
Design
Build
Test
Release
Operate
Defensive safeguards and verifiable controls reduce software, supply-chain, and operational risk throughout the delivery lifecycle.
Security reviews, automated checks, and dependency audits throughout delivery.
Validation and mitigation aligned with the OWASP Top 10 threat categories.
Authorization validation across user, application, API, and database layers.
Verification of encryption controls for data at rest and in transit.
Continuous scanning, risk triage, remediation verification, and regression testing.
Traceable system, access, and modification records supporting incident analysis.
Validation of backup integrity, recovery procedures, failover, and resilience.
Reviews covering input validation, dependency hygiene, and defensive coding.
Deliverables are tailored to the agreed scope. A typical engagement may produce the following decision-ready outputs:
Agreed scope, priority user journeys, risk areas, environments, and acceptance criteria.
Relevant manual scenarios, reusable automated checks, and documented test data or environment needs.
Reproducible findings with severity, evidence, ownership, and a view of execution progress.
A summary of covered areas, open risks, and recommended next actions for the release decision.
Flexible delivery designed for efficient scaling, transparent execution, and close integration with your engineering organization.
Scale with quality engineers in Vietnam for cost-effective manual testing, automation, and long-term regression coverage.
For Asia-Pacific clients, align developers and QA through overlapping business hours and rapid feedback loops.
A useful estimate starts with the application, release cadence, coverage gaps, and expected engagement model—not a one-size-fits-all testing package.
Review risks, existing tests, environments, access, and release goals.
Prioritize a test scope and validate the working approach with actionable findings.
Extend coverage and automation where repeated testing adds value.
A timeline and commercial proposal should be confirmed after discovery. This draft does not claim a fixed price or guaranteed result.
Ask for a QA scope reviewFlexible engagement models designed to meet your quality assurance needs.
A defined testing engagement for release scopes, product launches, independent validation, or standalone automation initiatives.
Quality engineers embedded in your Agile squads for continuous sprint testing, direct developer collaboration, and automation scaling.
An independent assessment of testing processes, automation, delivery pipelines, security controls, and improvement opportunities.
Testing is prioritized by product and operational risk, then integrated into delivery pipelines for faster, more dependable feedback.
Validate critical behavior, edge cases, usability, and business workflows.
Build maintainable automated checks at the right layers.
Understand system behavior before demand exposes bottlenecks.
Identify weaknesses in application, API, identity, and data flows.
Deliver inclusive experiences across supported environments.
Create shared visibility into release risk and quality trends.
Risk analysis starts in discovery and continues through production monitoring and regression learning.
Clarify business goals, users, constraints, and measurable success criteria.
Define workflows, functional requirements, user stories, and an achievable MVP.
Shape system boundaries, data models, integrations, security, and delivery plans.
Validate journeys through wireframes, prototypes, and accessible interface design.
Build in reviewable increments with shared standards and continuous integration.
Test functionality, performance, security, compatibility, and user acceptance.
Release through controlled pipelines with monitoring and rollback preparation.
Use product signals and operational data to guide support and future releases.
Business, product, and engineering decisions stay connected.
Frequent reviews replace long periods without visibility.
Risk, security, and quality are checked throughout delivery.
Adoption and operational data guide the next improvement.
Practical answers to questions teams ask before involving an external QA partner.
The scope can include exploratory and manual testing, test automation, regression, API, performance, web and mobile QA, release validation, and quality strategy. The actual mix is agreed against the product risks and delivery goals.
Automation is most useful for repeatable checks such as critical user journeys, stable APIs, and regression scenarios in frequent release pipelines. Exploratory work and changing requirements still need human judgment.
Yes. A QA engagement can begin with an existing product or release. The team first reviews the current workflow, known risks, environments, and available tests before agreeing on priority coverage.
There is no single fixed price for every product. Effort depends on product complexity, platforms, integrations, test environments, automation maturity, and whether you need a defined assessment or ongoing QA capacity. FIX Partner should confirm scope and an estimate after discovery.
Timing depends on access to requirements, environments, test accounts, and the size of the first test scope. A practical engagement starts with a short assessment and priority plan, then produces test results and defect evidence in agreed delivery cycles.
No. AI can assist with preparation and repetitive analysis, but engineers must review generated material, investigate real behavior, and make risk-based recommendations. The use of AI tools should follow the client’s data and security requirements.
Partner with our expert QA team to deliver flawless software that delights your users.
Facts and capabilities drawn from FIX Partner's public company information and the service scope on this page.
49+
Team members
9+
Years of experience
Vietnam + Global
Delivery coverage
How delivery moves forward
Manual and exploratory testing
Test automation
API and performance testing
Release validation
Quality strategy and reporting
Whether you need a focused specialist, a project team, or a long-term delivery partner, FIX aligns the people, capabilities, and delivery plan to your goals.
From one specialist to a cross-functional delivery team.
Discovery, delivery, modernization, release, or support.
Typical start target after scope and team requirements are confirmed.
Start with the right level of ownership, flexibility, and team capacity for your initiative.
A stable, cross-functional team aligned to your product roadmap and delivery goals.
View model detailsAdd the engineering, QA, AI/data, or cloud specialists your team needs now.
View model detailsDeliver a defined scope with clear milestones, quality gates, and handover.
View model detailsTell us about your product, test coverage and release risks so we can recommend a QA approach.
Discuss scope and next steps with FIX Partner
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