DM
Dustin Marek
Manager
Drives day-to-day execution across product and operations to keep the platform useful, reliable, and customer-ready.
QA AI Automation for Web, Mobile, Wearables, and AR.
AI agents that test your apps, find real bugs, and help fix them.
Start with a test request and a URL or APK. FlagshipQA explores your app or runs a targeted flow, then returns bug reports with supporting evidence.
Built for QA across web, mobile, wearables, and Quest devices.
How It Works
An end-to-end QA workflow from input to verified results.
01
Define Tests
Start with a target platform and test goal. Choose targeted testing or full exploratory mapping, then confirm the test cases you want FlagshipQA to run.
02
Executes Tests
Our agents provision the appropriate device, then execute each requested test case by dynamically navigating the app like a manual tester would.
03
Review Results
Get a clear results dashboard with verdicts, step-by-step evidence, and likely root causes, so reviewers can understand exactly what happened and developers can fix it faster.
What Makes FlagshipQA Different
Built by a team with 10+ years in QA and experience building software tools at FAANG companies.
Evidence Focused QA
Every test run captures action logs, query traces, and visual artifacts, making results easier to parse, easier to audit, and more resilient to hallucinations.
Specialized QA Agents
Our agents use a growing arsenal of specialized QA tools to handle just some of many scenarios required for QA.
Built for Wearables and AR
FlagshipQA is designed for the interactions, device behaviors, and edge cases that make testing wearables and AR easier.
Built-In QA Expertise
Our tools are embeded with QA expertise, so anyone on the team can use our product and run tests without years of QA experience or engineering knowledge.
See It In Action
Built by a Team That Knows QA
FlagshipQA is built by a cross-functional team spanning product, engineering, and AI implementation.
The team behind FlagshipQA combines product leadership, platform engineering, and hands-on implementation work to build QA tooling that is practical for real teams and real release cycles.
JF
Julio Fuentes
Full Stack AI Engineering Lead
Leads the engineering of the platform and the systems that power AI-assisted testing across the product experience.
KN
Khush Naidu
AI Implementation Engineer
Works on implementing AI-driven testing workflows and turning product requirements into practical capabilities for customers.
BY
Brandon Yu
AI Implementation Engineer
Builds and refines implementation details across the platform to support scalable, real-world QA automation.
GG
Guiller Gamata
AI Implementation Engineer
Drives backend development across the platform, building the infrastructure and systems that keep everything fast, stable, and scalable.
KN
Kevin Nguyen
AI Implementation Engineer
Drives frontend development across the product, crafting polished user experiences that make powerful AI tooling feel simple and intuitive.
Connect
Visit the office, reach out directly, and connect with the team.
Visit or Get in Touch
Use this section for office visits, direct contact details, and the best way to reach someone on the team.
Coverage & Capabilities
The platforms, testing modes, and proof categories that help FlagshipQA stand out.
Supported Devices
Examples of physical devices and environments we can test across modern QA workflows.
Samsung Galaxy S25iPhone 17iPhone 16iPhone 15QuestWearablesAR Devices
Browsers
Browser coverage for teams validating modern web applications and legacy surfaces.
ChromeFirefoxSafariEdgeInternet Explorer
Testing Types
Use the same platform to support a range of QA needs across product surfaces.
Mobile App TestingBrowser TestingWearables QAAR QAExploratory TestingTargeted Flow Testing
Tooling & Frameworks
Coverage that aligns with the tooling stacks teams already use to ship and validate software.
PlaywrightSeleniumAppiumBrowser AutomationAgentic QA
Outputs & Evidence
The evidence and outputs that help FlagshipQA stand out.
Bug ReportsScreenshotsStep LogsRepro StepsFailure SummariesExecution Evidence
Request a Pilot
Tell us what you want to test. We'll set up a guided pilot with your real app and workflows.