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Functional testing platform

AI Functional Testing with Owlity

Record your critical functional flows or describe them and let AI build the tests. Expand them to full coverage with our QA team, and run them on every deploy — across every browser, every environment.

Teams already testing with Owlity

SimpliField – Owlity Client
agorapulse – Owlity Client
Koopert – Owlity Client
ThirdHome – Owlity Client
dinova – Owlity Client
learningbank – Owlity Client
vcreative – Owlity Client
YOOBIC – Owlity Client

Solving modern functional testing challenges — without a large QA team

Functional testing is time-consuming and repetitive

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Problem

Verifying that every feature works after every change means clicking through the same flows over and over — manually, before every release.

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Solution

Record a functional flow once, or describe it and AI builds the test. Then it runs on every deploy. Owlity handles the repetition so your team doesn't have to.

New features break existing functionality

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Problem

Every time a new feature ships, something that worked before has a chance of breaking. Without automated functional tests, you find out when users do.

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Solution

Owlity runs your full functional suite on every deploy and catches regressions before they reach production. When the UI changes, AI finds elements by meaning, so the suite keeps running — automatically, every time.

Why Owlity for AI functional testing

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Tests every layer of your product

Functional testing verifies that every feature works as expected — right inputs, right outputs, every time. Owlity captures the full picture: form submissions, validations, state changes and multi-step interactions. Write the expected result in plain words — "the form shows a success message and the record appears in the list" — and AI turns it into a check that reports what matched and what didn't.

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Handles real-world complexity

Modern web apps aren't simple. Owlity handles authentication flows, dynamic content, data-driven scenarios and conditional branching — with variables, DataTables and JS snippets for anything custom.

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Coverage backed by 16 years of expertise

Building what works is the easy part. Knowing what to test beyond the happy path takes experience. Our QA team builds out the functional coverage that actually catches bugs — based on 16 years of shipping production software.

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How to set up functional testing with Owlity

From first test to full functional coverage — step by step.

Step 1
Create
Install the desktop app and cover the features that need to work before every release — form submissions, user inputs, validation logic, state changes, multi-step interactions. Record them, or describe them in plain words: AI shows a plan, builds the test in your app and verifies it with a run. Add checks at every key step — as assertions, or written in plain words. Variables for dynamic values, DataTables for different inputs and user types.
Step 1
Step 2
Expand
Submit any flow for expansion if needed. Our QA team adds error states, boundary conditions, negative scenarios and cross-browser assertions — turning a happy path into a complete functional test. You review it, request changes if needed, and add it to your suite.
Step 2
Step 3
Run
Link Owlity to GitHub Actions, Jenkins or Azure DevOps. Trigger your functional suite on every deploy, on a schedule, or manually. Parallel runs across Chrome, Firefox, Safari and Edge mean results land before anyone approves the release. When the UI changes, AI finds elements by meaning, so tests keep running.
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Step 4
Review
Every run produces video, screenshots, network logs and a step-by-step timeline. When a functional test fails, AI gives you the likely root cause, what to check next and a failure label. Push failures to Jira or Linear, or export a CSV report for stakeholders.
Step 4

INTEGRATIONS

Fits into your development ecosystem

Owlity plugs into the tools your team already uses — CI/CD pipelines, issue trackers, and developer workflows — so functional testing runs where your work already happens.

Works with

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Zero config to get started.

See integrations
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Get started

Full functional coverage for every feature you ship

Describe your critical flows today. Expand coverage when you need it. Ship every release knowing your features work as expected.

FAQ

Questions? We have answers

Form validation, user input handling, state changes, conditional logic, error handling, authentication flows, data-driven scenarios, and multi-step interactions — anything that verifies a feature works as expected from the user's perspective.
Record the flow with valid inputs first, then use branching logic and variables to test invalid inputs, boundary values and error conditions — or describe the variant: "same form, but with an empty email field, expect a validation error" and AI creates a new test from the existing one. Our QA team can expand any flow to cover all input combinations and error states on demand.
Yes. DataTables let you run the same flow across multiple input combinations — different user types, form values, or edge case data — without duplicating tests.
Yes. Describe the feature in plain words — "fill in the signup form, submit, check the welcome email arrives". AI shows a plan of what it will do and check, builds the test in your app, verifies it with a run, and you review and save.
Add assertions at any step — on elements, URLs, cookies, variables, emails and screenshots. Or write the expected outcome in plain words — "the cart has 3 items and the total matches their prices" — and AI turns it into specific criteria you can edit. Every run shows what matched and what didn't, so a test can't pass while the page is in the wrong state.
Every failure produces video, screenshots, network logs and a step-by-step timeline. You see which assertion failed, what value came back and at which step — and AI tells you the likely root cause, what to check next, and whether it's a product bug, a test issue, test data or the environment. No reproducing it manually.
Yes. Run the same functional suite against staging, pre-production, and production from a single configuration — and compare results across environments.

I have more questions. Contact us