Machine learning, without the ML team
Bayanii is a no-code platform that lets analysts, researchers and domain experts build machine-learning models from their own data — in Arabic and English.
Who it's for
If you have a spreadsheet and a question — "can I predict this?" — but you don't write ML code, Bayanii is for you. It's built for business analysts and domain-expert researchers who have data and a problem, not a machine-learning background.
How it works
You upload a CSV and pick the column you want to predict. Instead of asking you to choose an algorithm, Bayanii trains a lineup of models in parallel — linear models, tree ensembles and gradient boosting — grades them, and keeps the best. It supports three kinds of problems: regression, classification, and time-series forecasting.
Transparency by default
Every model comes with a model card: which algorithm won, how it scored, what preprocessing was applied, and any data-quality findings. The goal is an honest read on what your data can do — not a black box.
Who built it
Bayanii is built and maintained by Turki Alzahrani.