OrchestraML is a multi-agent AI platform that converts a natural-language ML objective and CSV dataset into a complete ML workflow. It guides users through dataset guardrails, EDA, cleaning, feature engineering, model training, evaluation, AI audit, PDF reporting, and downloadable model bundles - with Human-in-the-Loop checkpoints at key decisions. It is built for students, developers, and early-stage teams who want to build ML models faster without losing trust, explainability, or control.

OrchestraML turns plain English prompts into production-ready deployed ML models while keeping you in total control. Eight specialized agents handle datasets, clean data, engineer features, and train models via FLAML AutoML. Six strict checkpoint gates pause execution for your manual approval. You get a downloadable package with a pkl file and a predict.py script, or an instant live REST API. Safe, secure, encrypted dataset handling. Get two free pipelines daily.