Claryn is an agentic automated ML as a service platform that builds and improves machine-learning models for teams needing instant, auditable outputs without hand-coding pipelines as well as people who want to build prediction models without formal training; it automates data profiling, model training, fairness checks, and artifact management while explaining its reasoning. Users can upload a dataset to have Claryn evaluate multiple algorithms and return a trained model, notebook, and metrics, or supply a baseline model plus new data to trigger automatic retraining with promotion/blocking guidance and refreshed reports. The platform also bundles tooling like a Database Hub, Auto-Train Studio, Model Improvement workflow, live runs/logs, and a model registry to manage datasets, orchestrations, and artifacts end to end.
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