eomer is an agentic operating system for data science that fine-tunes tabular foundation models on proprietary data to deliver production-ready forecasting, regression, and classification pipelines.
In this demo, I’ll show how we go from raw enterprise data (CSV / DB) → automated feature handling → model selection & fine-tuning → calibrated forecasts with uncertainty → deployable outputs (API/UI) in a single workflow, without bespoke ML engineering.
