Kaius provides infrastructure for collecting high-quality human and real-world data to train and evaluate AI models and robotics. The company focuses on “human reality data”: specific, contextual information that reflects how people experience and interact with the physical world. Its platform lets customers define collection requirements, including modalities, locations, demographics, environments, and volume, and build projects around their models’ needs.

Kaius supports data collection across images, video, audio and speech, text responses, behavioral data, and surveys. It also offers annotation and labeling for newly collected data or customers’ existing sources, alongside evaluations such as preferences, rankings, classifications, and feedback. These datasets can support applications including speech recognition, scene understanding, model alignment, imitation learning, agentic tool use, and spatial computing.

Projects are tailored to defined specifications and acceptance criteria, with automated checks and human review used for quality control. Kaius says contributors provide explicit consent at collection, and its privacy program is designed to meet GDPR and CCPA requirements.