ML Agent
Autonomous end-to-end machine learning agent
The problem: building an ML model means juggling data prep, model
selection, training and evaluation — slow, repetitive, and easy to get wrong.
What it does: ML Agent uses agentic reasoning to drive the whole
workflow autonomously — it inspects your dataset, picks a strategy, trains and
evaluates candidate models, and explains its decisions end to end.
- Agentic reasoning plans each ML step
- Automated data prep & cleaning
- Smart model selection & tuning
- Evaluation with clear, explained results