Perle offers a platform for managing training data for artificial intelligence. The system is built around a workflow that incorporates human experts in the data annotation process, aiming to support multi-modal AI models across text, image, audio, and video. It includes tools for data acquisition, quality control, evaluation, and rapid iteration, with support for domain‑specific oversight and reinforcement learning from human feedback. The platform also features tools for translating high-level goals into precise specifications, cleaning and enriching raw datasets, and assessing models for robustness and safety. Perle operates with a distributed network of trained professionals who perform annotation and validation tasks.