HumanSignal

Adala is an Autonomous DAta (Labeling) Agent framework developed by HumanSignal. It provides a robust framework for implementing autonomous agents specialized in diverse data processing and labeling tasks. These agents can independently acquire and refine skills through iterative learning, influenced by their operating environment, observations, and reflections. Users define the environment by providing a ground truth dataset, and agents learn and apply skills within a 'runtime' (synonymous with LLM). Adala is designed for AI engineers, machine learning researchers, data scientists, educators, and students, enabling them to architect AI agent systems, experiment with complex problem decomposition, preprocess/postprocess data, and use it as a teaching tool. It emphasizes reliable agents built on ground truth data, controllable output with configurable constraints, and flexible, extensible runtimes supporting dynamic scenarios like student/teacher architectures.