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Drizz raises $2.7M in seed funding •
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Featured on Forbes
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Drizz raises $2.7M in seed funding •
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Featured on Forbes

| Feature | Testsigma | Drizz |
|---|---|---|
| What it is | NLP-based codeless test automation platform | Vision AI test authoring + execution platform |
| Test authoring | Plain English via NLP engine | Plain English via Vision AI |
| Element detection | NLP maps to locators (XPath, CSS, ID) + Healer Agent | Vision AI reads screen visually. No locators |
| Self-healing | Yes (Healer Agent fixes broken locators) | Yes (Vision AI re-evaluates the screen) |
| Platform scope | Web + mobile + API + desktop + Salesforce | Mobile apps (Android, iOS, mobile web) |
| Real devices | 2,000+ cloud devices | Drizz Cloud + BrowserStack/LambdaTest integration |
| Cross-browser web testing | Yes (800+ browser/OS combos) | No |
| API testing | Yes (built-in) | No |
| Test management | Yes (built-in, launched mid-2025) | No (integrates with TestRail, Xray) |
| CI/CD integration | Yes (30+ integrations) | Yes (Jenkins, GitHub Actions, Bitrise) |
| Open source | Yes (Community Edition) | No |
| Pricing | Custom quotes, annual contracts, requires sales call | Free trial (300 tokens, about 30 runs), then $49/month |
| Best for | Teams needing one platform for web + mobile + API | Teams needing deep mobile testing without selectors |
Both tools let you write "Tap on Login" in plain English. What happens next is completely different.
How Testsigma executes "Tap on Login":
The NLP layer is authoring experience. The execution layer underneath is still locator based. Testsigma's own documentation lists supported locator types: XPath, ID, link text, CSS selector, and more. The Healer Agent mitigates maintenance problem, but architecture is built on locators.
How Drizz executes "Tap on Login":
There is no locator to break. When a developer renames button from "Login" to "Sign In," Vision AI sees a button in same position with similar visual context and taps it. The self healing isn't fixing a broken locator. It's re reading screen.
Why this matters in practice:
On r/QualityAssurance, a user who evaluated Testsigma described locator problem directly: "Most of time automatic locators aren't usable" and "50% of time I need to re edit steps." Another user in same thread noted that "test data is a hassle to maintain." These aren't complaints about NLP authoring. They're complaints about what happens underneath it: locators that don't hold up in practice.
On r/reactnative, a developer described same frustration from a different tool: "A lot of my flaky failures aren't actual bugs, [tool] just can't find elements that are clearly on screen." The element is right there visually. The locator can't find it. That's a locator problem, and it applies to any tool that uses them, with or without AI healing on top.
On r/AITestingtooldrizz, a tester who switched described difference: "I was pretty skeptical because 'AI testing' sounds like buzzword but it's actually different in a useful way, first thing I noticed was writing tests stopped being complicated."
This is biggest structural difference between two tools.
What Testsigma covers:
For teams that need one platform for everything, Testsigma's breadth is real. A single QA engineer can write web tests, mobile tests, and API tests in same tool without switching platforms. On r/QualityAssurance, testers frequently mention wanting a unified platform that lets developers participate. Testsigma fits that.
What Drizz covers:
No web browser testing. No API testing. No desktop. No Salesforce.
Why Drizz chose mobile only:
The tradeoff is clear. Testsigma covers five platforms at a good level. Drizz covers one platform deeper.
On r/softwaretesting, a tester running six projects described why depth matters: "It runs on Vision AI so there are no selectors at all, you write tests in plain English and it executes on real iOS and Android devices, tests stay stable even when UI changes which matters a lot when you are juggling 6 projects moving at different speeds."
You test web, mobile, AND APIs. If your product has a React web app, an iOS app, an Android app, and a REST API, Testsigma lets one QA team cover all four from one platform. Drizz covers only mobile apps.
You want built in test management. Testsigma's test management module (launched mid 2025) handles sprint planning, test case organization, and Jira integration. With Drizz, you'd need a separate tool like TestRail or Xray for test management.
You want an open source option. Testsigma's Community Edition is free and open source on GitHub. Drizz has no open source version. For teams with budget constraints who can self host, this matters.
Your locator maintenance is manageable. If your app's UI doesn't change much sprint to sprint, Healer Agent's 90% maintenance reduction is enough. The remaining 10% of manual fixes is a small cost.
You need Salesforce or SAP testing. Testsigma supports these out of box. Drizz doesn't.
Mobile is your only testing surface. If your product is a mobile app (or a set of mobile apps) and you don't need web, API, or desktop testing, Drizz goes deeper on mobile than Testsigma's broader platform can.
Your app's UI changes every sprint. On r/FlutterDev, a developer described problem with selector based tools: "Our UI isn't dramatically changing sprint to sprint but small things move around enough that someone always had to go back and fix scripts before a release." The Healer Agent catches most of these, but Vision AI catches them without needing a healing step at all.
Your QA team is non technical. Both tools let testers write in plain English. The difference shows up when something breaks:
On r/AITestingtooldrizz, a comparison post noted that Drizz teams see sprint maintenance drop from roughly 30% to about 10%, and that a single test runs cross platform: "Write one Drizz test, run it on Android and iOS." For non technical teams, that cross platform efficiency means fewer tests to write and fewer to maintain.
You need enterprise scale regression suites on mobile. Drizz's customer base includes a publicly listed company running 8,000+ test cases. The module system lets you change a shared login flow once and propagate it across thousands of tests. Self healing keeps suite stable as app evolves.
You want transparent pricing. Drizz offers a free trial (300 tokens, about 30 runs) and a published Solo plan at $49/month. No sales call required to start. Testsigma requires custom quotes with annual contracts. On r/Everything_QA, a team described frustration with opaque enterprise pricing: "cost has crept up and renewal conversations are getting uncomfortable." That applies to any tool that hides pricing behind a sales call.
You want test maintenance to drop, not just shrink. Testsigma's Healer reduces maintenance. Drizz's architecture removes category of problem that causes it.
For mobile only teams, yes. Drizz replaces Testsigma's mobile testing with a deeper, selector free approach. For teams that also need web, API, desktop, or Salesforce testing, Testsigma covers a wider surface that Drizz doesn't.
Yes. The NLP engine translates plain English commands into locator based actions (XPath, CSS selectors, accessibility IDs). The Healer Agent auto fixes broken locators. The authoring is codeless, but execution is locator dependent.
No. Drizz uses Vision AI to interpret each screen visually. It matches plain English commands to elements by their appearance on screen. There are no locators to store, break, or heal.
Testsigma is cloud based with minimal local setup for web testing. Mobile testing requires connecting devices through their agent. Drizz requires downloading desktop app and connecting a device or emulator (15-30 minutes for first test). Both are faster to set up than Appium.
Yes. Some teams use Testsigma for web and API testing and Drizz for mobile app testing. The tools don't conflict because they target different platforms.
The open-source Community Edition is free and self-hosted. The cloud platform has a free trial. Paid plans require custom quotes. Drizz offers a free trial (300 tokens, about 30 runs) and a published Solo plan at $49/month.