Jala provides an end-to-end automated interface for data labeling of a wide variety of data. It leverages AI models to ensure high accuracy and efficiency, reducing the time and cost associated with manual data labeling.
Currently, most data annotation is outsourced to several tens of thousands of annotators in what is an expensive, time consuming and inefficient process.
The current state of affairs is a fractured data acquisition, annotation and model training pipeline. The goal is to provide a streamlined automated platform for all your data labeling needs.