Forloop is an easy-to-use data preparation and pipeline management AI tool for fast-growing data teams. It enables the creation of pipelines from various data sources such as data warehouses, storage, and drives. The no-code environment allows data scientists to work independently from DevOps teams.

Data privacy is our highest priority. We are fully compliant with GDPR and don't have access to any of your inserted datasets. We don't sell, and will never sell, any data about you or your usage of our platform. We only use limited metadata to improve our services, mainly our recommendation engine. Thus, your data is safe within our platform. If you have any questions, we are happy to answer.

Forloop is for data scientists who are not comfortable with infrastructure setup and configuration. The tool allows you to connect various data sources and build pipelines without extensive code writing. We primarily target our value proposition at fast-growing AI startups and companies with ML-powered products.

The easiest way to start building pipelines is to try out our latest cloud version by signing up. However, we highly recommend checking our Getting Started guide to learn the basic functionalities of the tool. Of course, we're happy to chat about your use case - just schedule a call.

Forloop allows you to build data pipelines for AI models. Connect any data source (data warehouse, data storage, drive) and create a pipeline using drag & drop canvas. In addition, you can also create workflows that web scrape data from websites and other sources like public API's (e.g. weather data).