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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 •
•
Featured on Forbes
Real numbers, not a sales pitch
A baseline most mobile QA teams already recognize. Here's what it costs to build yourself, next to what it costs with Drizz.
1000
Test cases
2
SDET engineers
9
Months
the journey
"Writing the test" is one of five stages and usually not the expensive one.
Think through the case
Same either way
Sort out locators
Manual lookup, Not needed
Write the test
12 min/test, 2.5 min/test
Run it
Breaks often, Self-healing
Maintain it
Grows monthly, Stays flat
Time your 2 engineers save
2,183
engineer hours, over 9 months
Money thats saves you
$109,040
at $50/hr — vs. building it in-house
Drizz
Build in-house
1,000 test cases
Over 9 months
2 SDET engineers
Over 9 months
4 Ul releases/month
Authoring + maintenance
now with your numbers
Drag to your real numbers the answer updates as you go.
TIME SAVED, PER ENGINEER
1,092
hours per engineer, over 9 months
Money thats saves you
$ 8,762
at $50/hr — vs. building it in-house
Drizz
Build in-house
300 test cases
Over 9 months
2 SDET engineers
Over 9 months
2 Ul releases/month
Authoring + maintenance
why the gap grows
Every broken selector is another block on the pile. Watch how unstable that gets and how flat the other side stays.
Build
0.5
hrs/mo fixing tests
Buy
0.1
hrs/mo maintaining tests
Month 1: both approaches are cheap. The gap hasn't opened yet.
which of these sound familiar
Real failure modes from the study, and the same test step written two ways.
Appium / Python
wait_visible(d, AppiumBy.ID, f"{PKG}:id/search_query_hint_layout" ),click()
search = wait_visible(d, AppiumBy.ID, f"{PKG}:id/et_search_query_v2")
search.click() search.send_keys('Laddoo')
d.press_keycode(66) # ENTER
time.sleep(3)
wait_visible(d, AppiumBy.ID, f"{PKG}:id/add_to_cart_btn").click()
assert find_elements(d, AppiumBy.ID, f"{PKG}:id/cart_badge") != []
Drizz / Plain English
01
Tap on the search box on the home page
02
Type "Laddoo" into the search input field
03
Tap the first result and add it to cart
04
Verify the cart badge shows an item
the honest part
• You have a dedicated Appium/Espresso team
• Your UI is stable, breakage is rare
• You need deep framework-level control
• You're extending an existing pipeline
• Your UI changes often, selectors keep breaking
• Your QA team doesn't write code
• You need one suite for iOS and Android
• You want CI gates that stay stable
Your test cases are plain-English steps, not proprietary code — you can export them and hand them to any team or tool. That's different from an Appium suite, which is genuinely yours, but also genuinely only usable by people who read Python.
One plain-English test suite runs on both. With Appium, iOS and Android almost always end up as separate scripts with separate locators — this is one of the bigger hidden maintenance multipliers teams underestimate.
Test runs happen against your own device or emulator; screenshots and debug reports stay scoped to your account. If your org needs a formal security review, that's a normal part of procurement — ask your rep for the documentation.
Most teams don't rip and replace — they point Drizz at the 10–20 flows that break most often and keep breaking, since that's where the maintenance tax is concentrated. The rest of the Appium suite keeps running until it makes sense to migrate.
Honestly — maybe not much. If your UI is genuinely stable and you have dedicated automation engineers, scripted automation holds up fine. The math in this page changes fast with release frequency — that's exactly what the calculator above is for.
If someone can write a user story, they can write a test — it's plain English, not a scripting language. That's the main reason non-engineers end up able to own and review tests directly, instead of filing a ticket for an automation engineer.
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