AI-accelerated UI testing

Rainforests’s deep integration of AI means we can accelerate your test coverage, and you can
ship with velocity.

Unlike other AI models, our AI is optimized using a patent-pending process to perform reliable QA in automated UI testing workflows.

Talk to us

Unlike all the vanity-driven AI implementations I’ve seen, Rainforest QA’s self-healing tests feature is an awesome use case for AI that has been executed really well and adds immediate value.

Abhinav Agrawal

Abhinav Agrawal

Chief Product & Technology Officer at Netchex

Get test coverage fast

Rainforest’s experienced Test Managers give plain-English prompts to the AI, which quickly generates automated test scripts based on its ten years of QA training.

Your Test Managers verify all AI outputs, giving you confidence in your coverage.

Generative AI

Avoid hours of test maintenance

Rainforest’s AI-powered features help you avoid delays from false-positive test failures and time-consuming test maintenance.

Reliable tests

Avoid false-positive test failures when you make minor changes to buttons, links, and other app elements.

Rainforest uses several different methods to reliably identify elements, including screenshots, DOM selectors, and AI-generated descriptions. Learn more

Self-healing test scripts

When you make intended changes to your app, Rainforest’s AI can automatically update the relevant test steps, removing the need for maintenance.

All updates are fully transparent, and you have final control. Learn more

Better judgment via machine learning

If a visual change in your app is so minor that a human tester wouldn't notice or care, Rainforest will ignore it. (Though you can set it to be particular about every pixel.)

Because automated testing is better when it can use human-like judgment.  Learn more

See how it works in less than 60 seconds

Save hours of test maintenance preview video

Rainforest QA is seriously one of the coolest services I’ve seen lately.

Perry Raskin

Perry Raskin

Software Engineer at Coverdash

Optimized for QA and reliability

Rainforest's AI combines multi-modal analysis with a novel, patent-pending approach to drawing conclusions, making it more reliable at end-to-end testing of web applications.

Secure

Rainforest takes deliberate steps to protect your data in all of our systems, including our AI systems. Learn more

OpenAI’s API

Rainforest uses OpenAI’s API, which is certified for SOC 2 Type 2. OpenAI:

Doesn’t use data sent to their API to train their models

Encrypts data at rest (AES-256) and in transit (TLS 1.2+)

Uses strict access controls to limit access to data

Learn more about their privacy policies.

Rainforest's AI pipeline

We use a Retrieval Augmented Generation (RAG) pipeline
to improve OpenAI’s LLM models for QA.

No customer data is ever used verbatim — our systems abstract data into instructions for the AI agent. (E.g., “Most users in this situation fill an email address in the first field.”)

No data from Rainforest automated tests is included in
the pipeline.

Rainforest's AI addresses two major obstacles for maintaining a healthy QA program — creating tests and, more importantly, fixing broken tests.

Tim Glenister

Tim Glenister

CTO at mindbodygreen

Get your smoke suite up and running. Up to 3x faster than engineers using open source.

QA should be about helping your team focus on shipping code that makes customers happy. Rainforest can help you get there.

Give me test coverage