Encord Launches Data Agents for Automated AI Workflows

Encord has launched its new Data Agents, a tool aimed at automating AI data workflows by integrating state-of-the-art models directly into data pipelines. According to Encord's website, this innovation allows AI teams to build agentic data workflows that can automate tasks across millions of multimodal files simultaneously.

The Encord Data Agents enable the integration of both foundation models and custom models into data workflows. This flexibility allows for the automation of various data tasks, such as pre-labeling, routing by reasoning, and evaluation, significantly reducing the time required to achieve high-quality multimodal datasets at scale. The platform supports models like Claude-3.7, GPT-4o, and others, facilitating seamless integration into existing data workflows.

Encord's solution is designed to enhance data throughput while maintaining label accuracy, making it a valuable tool for AI teams looking to streamline their data processing operations. The company is also hosting a webinar to demonstrate how these Data Agents can be customized to fit specific AI data workflows.