AutoML-Agent provides a versatile Python-based framework that orchestrates every stage of the machine learning lifecycle through an intelligent agent interface. Starting with automated data ingestion, it performs exploratory analysis, missing value handling, and feature engineering using configurable pipelines. Next, it conducts model architecture search and hyperparameter optimization powered by large language models to suggest optimal configurations. The agent then runs experiments in parallel, tracking metrics and visualizations to compare performance. Once the best model is identified, AutoML-Agent streamlines deployment by generating Docker containers or cloud-native artifacts compatible with common MLOps platforms. Users can further customize workflows via plugin modules and monitor model drift over time, ensuring robust, efficient, and reproducible AI solutions in production environments.

Graphite Note is a no-code AI platform that helps businesses create machine learning models in minutes. It automates data pre-processing, feature engineering, and model selection, making predictive analytics accessible to users without technical expertise. The platform leverages Auto ML and data storytelling to convert raw data into key drivers and actionable insights, accelerating business growth.