How does the self-healing actually work?

When a UI change breaks a test, Studio re-observes the live application's DOM and state. It uses its proprietary models to identify the correct element despite selector changes, distinguishing between a real regression and a harmless UI update.

Do I need to write code to use Studio?

No. You can describe test scenarios in plain English, and Studio generates and executes the test. It also provides a visual UI for test creation and management.

How does pricing work for large teams?

Teams purchase per-user plans (Growth/Scale) with a shared credit pool. Enterprise plans offer custom credit pools, pooled billing, and invoice/PO options for large-scale deployments.

What is the core architectural difference from tools like Testim or Mabl?

Functionize uses a purpose-built generative + deterministic ML core, not a general LLM wrapped in prompts. This hybrid approach, running on Kubernetes for scale, is designed for higher fidelity and speed in test verification.

How does the MCP integration work?

The Model Context Protocol (MCP) integration allows Studio to connect directly to your coding agent's context (like a VS Code extension). It sees your codebase structure and changes, enabling it to test the exact impact of your code in real-time without switching tools.

Can I test on-premise or internal applications?

Yes. A lightweight, secure tunnel agent can be deployed in your network to allow Functionize's cloud platform to test internal applications without exposing them to the public internet.

Directory/Automation/Testing & QA/Functionize Studio

Functionize Studio

Functionize Studio is an independent AI testing agent for full web UI workflows. It automatically generates, runs, and self-heals tests from natural language descriptions or existing scripts, ensuring quality scales with your application. The platform uses purpose-built ML models (not wrapped general LLMs) for high-fidelity element recognition, speed, and reduced input complexity. Targeted at QA engineers, developers, and engineering leaders, it integrates with CI/CD pipelines and supports cross-browser, device, and on-premises testing. It handles complex scenarios including API, visual, email, and SMS validation, with self-healing to adapt to UI changes.

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Added on

Sep 16, 2026

Agentic testingSelf-healingLive app testingIDE integrationCredit-based

Product information

Everything worth knowing about Functionize Studio

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

AI-Driven Test Creation

Describe what to test in plain English. Studio's Create Agent builds executable, self-healing tests from your description.

Self-Healing Tests

When the UI changes, Studio re-observes the live app and automatically repairs broken selectors, distinguishing real regressions from flaky drift.

Continuous Verification Against Live App

Every test runs against your live application, capturing DOM, state, and behavior before and after changes to ensure real-world fidelity.

Agent-Native Integration (MCP)

Works from inside your coding agent (e.g., Cursor, VS Code) via Model Context Protocol (MCP), testing every change without leaving your IDE.

Technical capabilities

Multi-Agent Architecture

Dedicated agents handle specific tasks (Create, Diagnose, Maintain, Document), using a hybrid of generative intent and a deterministic ML core for verification.

Credit-Based Execution

Tests run on Functionize's own purpose-built models, consuming credits instead of your general LLM or coding agent credits, optimizing cost and speed.

Must watch videos

Functionize Studio 101: Ask Studio What to Test

3:10

Tutorial3:10

Functionize Studio 101: Ask Studio What to Test

Already have a test? Use it as a starting point. In this episode, we create new tests off an existing one — and let the agent suggest what to build next. You will see how reusable components capture shared steps like login and navigation, how the agent prompts you to create a component when it spots repetition, and how "suggest new" turns one test into three ready-to-generate ones — each with a prompt already written for you. What you will learn: - How to reuse steps across tests with components - How the agent offers to build a component when steps repeat - How to ask the agent to suggest new tests from an existing one - How suggested tests come with prompts pre-written - How to generate them in the background while you work Chapters 00:00 — Start from an existing test 00:29 — Reusable components 01:19 — Ask the agent to suggest tests 02:01 — Generating in the background Start a free trial: https://www.functionize.com/free-trial Book a demo: https://www.functionize.com/demo #Functionize #TestAutomation #AITesting #QA #SoftwareTesting

Functionize Studio 101: Build Your First Orchestration

2:20

Tutorial2:20

Functionize Studio 101: Build Your First Orchestration

An orchestration is a group of tests you run together. In this episode, we set one up two ways: manually through the UI, and by simply asking the agent. You will see every scheduling and alerting option — parallel or sequential runs, rerun rules, and email notifications — then watch the agent configure the same orchestration from a plain-language prompt. What you will learn: - What an orchestration is and when to use one - How to build one manually through the navigation - How to schedule runs and set parallel or ordered execution - How to configure rerun rules and email alerts - How to have the agent set it all up from a prompt Chapters 00:00 — What is an orchestration 00:10 — Build it via the UI 00:56 — Build it via the agent 02:02 — Orchestration created Start a free trial: https://www.functionize.com/free-trial Book a demo: https://www.functionize.com/demo #Functionize #TestAutomation #AITesting #QA #SoftwareTesting

Functionize Studio 101: Create Your First Test from a Simple Prompt

6:26

Tutorial6:26

Functionize Studio 101: Create Your First Test from a Simple Prompt

In this first episode, we create, validate, and run a test in Functionize Studio using a single plain-language prompt: no scripts, no manual selectors, no orchestration setup. You describe what to test. The agent handles the rest: it reads your app, generates the steps, adds the actions you didn't spell out, corrects for required fields, and runs the test on a fresh cloud machine. What you will learn: - How the chat-based agent turns a prompt into a working test - How Projects and encrypted execution presets keep you organized - Why you never write click or input steps yourself - How the agent handles required fields on its own - How generation and execution differ: and why runs get faster over time Chapters 00:00 — Meet the Functionize agent 00:50 — Projects: staying organized 01:04 — Execution presets & encrypted variables 01:31 — Your first prompt 02:21 — Background generation & parallel work 02:47 — Inside the run: agent thinking + live VM 03:25 — Actions generated automatically 04:03 — Handling required fields 04:36 — Generation vs. execution speed 05:16 — Running & verifying the test Start a free trial: https://www.functionize.com/free-trial Book a demo: https://www.functionize.com/demo #Functionize #TestAutomation #AITesting #QA #SoftwareTesting

Who uses it

Real use cases, no hype

AI-Powered Regression Testing

Automatically generate, run, and heal regression test suites against live web applications.

CI/CD Pipeline Integration

Validate every pull request and build against the live application within your existing pipeline.

Cross-Browser & Device Validation

Test application consistency across multiple browsers, OS versions, and real devices.

Enterprise Application Testing

Validate complex workflows in systems like Salesforce, Workday, and SAP.

QA Team Productivity Boost

Enable non-technical QA to author and maintain robust test suites using natural language.

Legacy Test Modernization

Import existing Selenium/Appium scripts and transform them into maintainable, AI-driven tests.

MFA & Complex User Flow Testing

Handle multi-factor authentication, OTPs, and email/SMS verification within automated tests.

What's great

True AI agent for testing, not just a script recorder.
Self-healing tests adapt to UI changes automatically.
Natural language test creation lowers the barrier for QA.
Direct integration with coding agents via MCP for in-editor testing.

Technical strengths

Dedicated, purpose-built ML models for test fidelity, not general LLM wrappers.
Hybrid architecture: generative AI for intent, deterministic core for verification.
Kubernetes-based auto-scaling supports thousands of parallel sessions.

Where it falls short

Credit-based pricing can be opaque and unpredictable for large workloads.
Enterprise features like private deployment and SSO are gated behind high tiers.
Limited integrations (e.g., MCP) are still on a waitlist.

Technical limitations

Core value is tightly coupled to Functionize's proprietary model ecosystem.
Vendor lock-in risk due to proprietary test format and AI models.
Advanced capabilities (e.g., SMS/email testing) only available on higher-cost plans.
No on-premises execution option; relies on a secure tunnel for internal apps.

For technical folks

The deep-dive specs

Architecture

Generative intent agents with a deterministic machine learning core

Execution

Cloud-native, multi-tenant SaaS on Google Cloud with Kubernetes auto-scaling

Integration

Model Context Protocol (MCP) for IDE integration; supports import from Selenium, Appium, Playwright, Cypress

FAQ

Includes technical Q&A

Functionize is a higher-level AI agent that can import and execute tests from Selenium, Playwright, Cypress, and Appium. It adds self-healing, natural language authoring, and maintenance automation on top of the execution.