Databricks vs Scale AI

Databricks and Scale AI are both American startups specializing in big data processing in the field of artificial intelligence. They utilize and develop machine learning technologies, but combine AI automation with a "human-in-the-loop" approach where precision is required. They provide infrastructure/platform solutions and partner with major cloud providers (AWS, Azure, Google Cloud and others) to ensure compatibility.

But Databricks (founded in 2013) is a data intelligence platform that extracts insights from corporate data. It develops an idea of lakehouse (a combination of a data warehouse and a data lake). Its platform is focused on analytical processes (data engineering, data science) and features advanced mechanisms for observability, monitoring and data workflow management. The company develops its own generative models, supporting Retrieval-Augmented Generation.

Scale AI (2016) specializes in data labeling for training AI models and evaluating trained models. It offers services for various data types: text, video, audio, 3D, sensor data and operates online platform that enables distributed collaboration with a large annotator base in several countries. The company has own research division, SEAL (Safety, Evaluations and Alignment Lab) that evaluates LLM and model safety issues.