OrchestraML
Turn natural-language ML goals into auditable ML pipelines.
What it does
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.
Build trustworthy ML pipelines using nine specialized AI agents, dataset guardrails, Human-in-the-Loop decisions, explainable evaluation and reproducible exports.
Nine specialized AI agents transform your objective and dataset into a validated, explainable and exportable machine-learning workflow- with you controlling every critical decision. Black-box automation hides critical data issues. OrchestraML builds trust through explicit agent decisions and human oversight. A precise, multi-agent lifecycle that transforms raw data into a trustworthy pipeline. " Understands the objective, target, task type, risks and success metric. " Understands the objective, target, task type, risks and success metric. OrchestraML never hides critical decisions. At critical stages, the pipeline pauses. You review what the agents found, their reasoning, and their…from orchestra-ml.vercel.app
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