NEO, developed by the company WithNeo, is introduced as the first agentic machine learning (ML) engineer that automates the entire ML pipeline. Unlike traditional ML copilots that require manual coding, testing, and deployment, NEO operates as a multi-agent intelligence system composed of 11 specialized agents that independently handle data cleaning, model building, hyperparameter tuning, training, and deployment. It functions without the need for human intervention or stitching together scripts, effectively acting as a full-stack ML engineer on autopilot. NEO has demonstrated strong performance, including a 34% medal rate on Kaggle and outperforming Microsoft's RD Agent on the MLE Bench benchmark. The system is designed to simplify and accelerate ML workflows, delivering results in hours that typically take teams weeks. WithNeo is currently inviting users to join the waitlist for access to this technology.