10× the tests.
same QA team.
Your manual QAs describe the flow in plain English. Drizz's agents run it on real devices, fix it when your UI moves, and hand back the failure already debugged. No automation engineers. No selectors. No new headcount.
Rather try it yourself? Download for Mac
Trusted by mobile teams at
200
tests/month per QA vs 15 on Appium
5%
flakiness down from 15%
1.0×
iOS + Android effort write once, run both
0
selectors to maintain
Why Legacy Mobile Test Automation Can’t Keep Up?
High TAT to author tests
Selector-based tests take weeks to author and break with every UI change. Self-healing automation fixes this.
High Flakiness
When 1 in 7 tests fail randomly, automation becomes noise. Vision AI reduces this flakiness drastically
Coverage Risk
Traditional tools can't handle dynamic UIs, leaving login, payments & checkout untested. Vision AI covers critical flows.
The problem isn’t automation.
It’s how mobile automation works today.
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Solution
Human-Level Understanding.
Code-Level Speed.
Enterprise-grade vision AI that tests like a human, without the flakiness, maintenance, or slow authoring of traditional tools.
Author Tests in Minutes
Connect your app. Write tests in plain English. Start testing in minutes.
Self-Healing Test Automation
Tests adapt when UI changes. Broken steps fix themselves. Zero maintenance.
End-to-End Mobile Test Management
Manage apps, suites & runs in one platform. Track history across teams. Built for scale.
CI/CD Integration for Mobile Testing
Run tests on real devices in your pipeline. Consistent results. Zero flaky failures.
How it works
Building Tests That Last.
1/4
Upload Your APK
Connect your build and start instantly.
2/4
Describe Tests in Plain English
Write steps the way you use your apps.
3/4
Execute Reliably with Vision AI
Real-device runs that adapt in real time.
4/4
Debug with Precision
Every failure comes fully unpacked.
Impact
Real Outcomes for
Fast-moving Mobile Teams.
QA Teams
Stable execution. Lower effort. Faster cycles.
- Reduced flakiness through Vision AI
- Self-healing tests across UI changes
- Reliable result across devices & OS
- High coverage without maintenance
Developers
Clear intent. Verifiable behaviour. Faster fixes.
- Catch regressions & defects earlier
- Screen state & step history included
- Debug faster with fewer repro cycles
- Detailed reports for faster fixes
Tech Leadership
Predictable releases. Lower risk. Higher ROI.
- Monitor test suite health 24/7
- Less triage, higher velocity
- Reduce operational costs
- Scale releases with confidence
Automate fast. Ship with confidence.
- Replace repetitive test with Vision AI
- Cover more devices with same team
- Consistent release validation
- Fewer escaped bugs, faster releases
Stable automation. Minimal maintenance.
- Fewer breaks from UI changes
- Cut false failures & re-runs across CI
- Reliable across devices & OS
- Increase signal quality, reduce noise
Release governance. Measurable ROI.
- Higher suite stability, less noise
- Scale on real devices & across OS
- Faster triage with clear evidence
- Lower TCO without slowing delivery
All the Power Your QA Team Needs.
E2E Testing with Vision AI
UI, APIs, flows, multiple OS. Real devices, zero maintenance.
Centralized App Management
Apps, builds, plans, devices, environments, all in one platform.
Real-Device Execution
Run your tests where your users actually are.
Self-Healing AI
Tests that repair themselves automatically.
Precision Debugging
Accessibility Testing
Built-in accessibility testing for every flow.
Enterprise-Grade Security. Without Compromise.
Built for financial services, healthcare and regulated industries where security isn't optional but mandatory.
Built for Teams That Ship Fast.
Keeping high-volume purchase flows stable around the clock.
Drizz validates checkout, search, cart, payments, recommendations and delivery flows in minutes, catching UI failures and logic breaks before customers hit them.
Stability you can trust for high-risk financial journeys
Drizz catches critical failures in KYC, login, payments, transfers, UPI flows, wallets and dashboards before users ever experience them.
Ensuring seamless playback, streaming and subscription experiences
Drizz tests video playback, content loading, onboarding, subscription flows and player controls across device types, networks and OS versions.
Keeping dynamic maps and navigation rock-solid
Drizz validates real-time map rendering, gestures and navigation behavior across dynamic states. Test panning, zooming, live route updates, markers and location-driven UI changes under real-world conditions.
Ensuring flawless tracking, subscriptions and wearable sync
Drizz validates onboarding, goal setup, workout logging, subscription flows, scheduling, sensor states and other integrations.
Integration-Ready for Any Environment.
Why Teams Switch to Drizz
See how Drizz outperforms traditional testing on every critical metric
Why High-Velocity
Teams Trust Drizz
Confidence to ship at velocity without compromising quality
With Drizz, we've simplified automation and ensured quality with less effort - no more broken tests or tedious setups.
The AI-driven stability and ease of execution have helped us move faster while maintaining confidence in our releases. Drizz has become a valuable addition to our QA toolkit for scaling automation efficiently.Kudos to the Drizz team for building a practical and effective solution for modern QA teams.
Our testing cycle time dropped dramatically, close to 10× in our main release path. Support has been consistently fast and practical. You get clear steps that unblock you.
The debugging tools have saved us a ridiculous amount of time, especially when a run fails in CI and you need answers fast. Support was quick, and they walked us through a couple of advanced configs without any back-and-forth.
Our biggest pain was flaky tests on dynamic screens. Drizz handled those flows way better than what we had before
Drizz helped us simplify automation and maintain quality without the usual grind. Broken tests and painful setups are not something we deal with anymore.
The AI-driven stability and ease of execution have helped us move faster while maintaining confidence in our releases. Drizz has become a valuable addition to our QA toolkit for scaling automation efficiently.Kudos to the Drizz team for building a practical and effective solution for modern QA teams.
Writing tests in plain English made automation something the whole team could contribute to and not just QA engineers. With quick help from the team, we shipped 20 tests in a single day.
We started catching noticeably more issues after switching, easily 5× compared to our earlier setup. We also hit an integration snag on day one, and support had it sorted in under an hour.
Setup took literally minutes. The team was incredibly helpful during onboarding, answering all our questions promptly and professionally throughout the process.
With Drizz, we've simplified automation and ensured quality with less effort - no more broken tests or tedious setups.
The AI-driven stability and ease of execution have helped us move faster while maintaining confidence in our releases. Drizz has become a valuable addition to our QA toolkit for scaling automation efficiently.Kudos to the Drizz team for building a practical and effective solution for modern QA teams.
Drizz made it easier for us to trust what we were shipping. What surprised me most was how quickly the team supported our rollout with fast answers, practical guidance, and it scaled across the org without friction.
API integration was seamless thanks to excellent documentation. Support team jumped on a call within hours to help troubleshoot successfully.
Vision AI handles our complex app perfectly. The supportive team helped us fine-tune tests and optimize performance beyond expectations.
With Drizz, we've simplified automation and ensured quality with less effort - no more broken tests or tedious setups.
The AI-driven stability and ease of execution have helped us move faster while maintaining confidence in our releases. Drizz has become a valuable addition to our QA toolkit for scaling automation efficiently.Kudos to the Drizz team for building a practical and effective solution for modern QA teams.
Our QA team is finally ahead of developers. Support responded to our weekend inquiry within 30 minutes with a comprehensive solution.
Drizz felt genuinely plug-and-play. We didn’t have to fight setup or spend days wiring things together. When we had questions, the team responded fast and actually knew the technical details
I was skeptical about the 97% claim, but after a couple weeks of real usage, it held up. Getting started was smooth, and support felt like having an extra engineer on the team with fast replies and practical answers.
Practical Guides on Modern Mobile Test Automation.
Vision AI, plain English testing, and beyond.
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Questions? We've got answers.
What is Drizz?
Drizz is a mobile test automation platform that helps teams automate mobile UI testing using plain-English test steps and AI-powered execution.
Does Drizz support Android and iOS?
Yes. Drizz supports automated testing for both Android and iOS apps on real devices.
Do I need to write code to use Drizz?
No. Tests are written in readable, natural language. Advanced users can still build complex workflows when needed.
Can Drizz run in CI?
Yes. Drizz is designed for CI pipelines and provides reliable, repeatable test execution.
Do we need coding experience to write tests?
No. Drizz lets you describe tests in plain English. The AI converts your steps into executable test flows, while still supporting advanced logic when engineering teams need it.
Can Drizz run on real devices?
Yes. Drizz executes tests on real Android devices with different OS versions, screen sizes, and network conditions for accurate, production-level validation.
How is data handled and stored?
All test data, logs, and screenshots are encrypted in transit and at rest. For customers with strict data policies, Drizz supports region-locked storage and custom retention settings.
How does Drizz handle asynchronous events or delayed UI states?
Drizz uses adaptive wait logic powered by state detection instead of static timers. The engine detects expected UI conditions before executing the next step, eliminating flakiness caused by timeouts.
Can Drizz test multi-step flows that involve deep links, push notifications, or app restarts?
Yes. Drizz supports deep links, background/foreground transitions, cold starts, push notification validation, and state-based branching logic within tests.
How are test artifacts stored and retrieved?
All test artifacts - logs, videos, screenshots, device metadata - are stored in encrypted storage with unique execution IDs. APIs and webhooks allow exporting artifacts to CI dashboards.
How does Drizz handle list views, infinite scroll, and dynamic content?
The engine detects list boundaries, scroll positions, and element visibility in real time. It identifies target items based on visual and semantic cues, not index-based assumptions.
Is Drizz suitable for high-security environments?
Yes. On-prem and VPC deployments ensure all test data stays within your network. SSO/SAML, audit logs, RBAC, and encryption are supported for enterprise security teams.
Does Drizz process or store application binaries (APK) securely?
Yes. Uploaded builds are stored in isolated, encrypted buckets with strict access policies. Builds can also be auto-deleted after test runs based on retention policies.
