Data Auto-Labelling Toolset

Data auto-labelling is the next stage of self-supervised AI evolution. Auto-labelling technologies leverage human expertise to maximally benefit from autonomous learning systems, improve AI capabilities and achieve AI alignment objectives.

Powered by a proprietary three-layer intelligent optimisation architecture, Alaya AI empowers AI users and developers by providing a set of exclusive data auto-labelling toolsets designed to support a wide range of data types and optimisation technologies.

Alaya AI’s proprietary data auto-labelling models utilise RLHF fine-tuning to maximally harness human knowledge and expertise through decentralised data contributor networks and knowledge communities, vastly improving data labelling efficiency while significantly reducing costs. Our system is able to achieve over 80% verification rate for most common AI data categories and is capable of processing both static and dynamic visual data in real time.