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eomer: Agentic Data Science Pipelines
See how to build end-to-end data science pipelines for forecasting, regression, and classification from raw data to deployable APIs, including calibrated uncertainty, without custom engineering.
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.