OrchestraML
From English prompt to deployed ML model with human approval
OrchestraML launched on June 9, 2026 with 82 votes, #516 of 22,647 launches that month and more than 95% of that year's launches.
What it does
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.
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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