How does Browse AI leverage Artificial Intelligence (AI)?

Browse AI leverages Machine Learning (ML) for a few different purposes behind the scenes that include automatically adapting to website changes, which can happen quite frequently on popular websites, and learning from robot trainings to offer better instructions and highlighting while training new robots or re-training existing robots. This has enabled our users to create custom web automations on tens of thousands of websites with no technical knowledge, which has never been possible before.

We also use ML to emulate human behaviour so that robots are indistinguishable from people using websites. This lets our users extract the most accurate data possible at scale. The robots can open a website in a browser, scroll, click, fill out forms, and even solve many types of captchas using image recognition and other techniques. We were able to increase our task success rate from 85% to 98% (near 100% after built-in auto-retries) in 2022 because of this.

In addition to expanding and advancing our current use cases, we've made significant strides in leveraging OpenAI's API to simplify robot creation using natural language. This breakthrough introduces a new feature called Recommended Datasets, where our robots intelligently guide you towards the most suitable datasets based on your training goals during the robot-building stage, making data extraction more efficient and user-friendly than ever.

💪🤖