
Author in minutes. Execute on real devices. Ship with confidence.

Selector-based tests take weeks to author and break with every UI change. Self-healing automation fixes this.

When 1 in 7 tests fail randomly, automation becomes noise. Vision AI reduces this flakiness drastically

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.
Enterprise-grade vision AI that tests like a human, without the flakiness, maintenance, or slow authoring of traditional tools.
Connect your app. Write tests in plain English. Start testing in minutes.
Tests adapt when UI changes. Broken steps fix themselves. Zero maintenance.
Manage apps, suites & runs in one platform. Track history across teams. Built for scale.
Run tests on real devices in your pipeline. Consistent results. Zero flaky failures.
Connect your build and start instantly.
Write steps the way you use your apps.
Real-device runs that adapt in real time.
Every failure comes fully unpacked.
Stable execution. Lower effort. Faster cycles.
Clear intent. Verifiable behaviour. Faster fixes.
Predictable releases. Lower risk. Higher ROI.
Automate fast. Ship with confidence.
Stable automation. Minimal maintenance.
Release governance. Measurable ROI.
UI, APIs, flows, multiple OS. Real devices, zero maintenance.

Apps, builds, plans, devices, environments, all in one platform.

Run your tests where your users actually are.

Tests that repair themselves automatically.


Built-in accessibility testing for every flow.

Built for financial services, healthcare and regulated industries where security isn't optional but mandatory.
Drizz validates checkout, search, cart, payments, recommendations and delivery flows in minutes, catching UI failures and logic breaks before customers hit them.

Drizz catches critical failures in KYC, login, payments, transfers, UPI flows, wallets and dashboards before users ever experience them.

Drizz tests video playback, content loading, onboarding, subscription flows and player controls across device types, networks and OS versions.

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.

Drizz validates onboarding, goal setup, workout logging, subscription flows, scheduling, sensor states and other integrations.



See how Drizz outperforms traditional testing on every critical metric
Confidence to ship at velocity without compromising quality

Vision AI, plain English testing, and beyond.
Drizz is a mobile test automation platform that helps teams automate mobile UI testing using plain-English test steps and AI-powered execution.
Yes. Drizz supports automated testing for both Android and iOS apps on real devices.
No. Tests are written in readable, natural language. Advanced users can still build complex workflows when needed.
Yes. Drizz is designed for CI pipelines and provides reliable, repeatable test execution.
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.
Yes. Drizz executes tests on real Android devices with different OS versions, screen sizes, and network conditions for accurate, production-level validation.
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.
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.
Yes. Drizz supports deep links, background/foreground transitions, cold starts, push notification validation, and state-based branching logic within tests.
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.
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.
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.
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.