Decision intelligence that production teams can use.
Tabular foundation models provide common methods for forecasting, regression, and classification. Production teams also require domain context, repeatable data interfaces, calibrated outputs, deployment controls, and workflow integration. eomer combines these requirements in one application and intelligence layer.
To support enterprise decisions, the platform applies tabular foundation models to enterprise data and returns calibrated outputs through managed or private deployments. The shared platform removes the requirement for a separate model pipeline and operating interface for each target.
Product criteria
Accuracy and reliability
Each product change must preserve or improve the defined accuracy and reliability metrics before release.
A common model interface
The platform must support one series and large series sets through the same interface and deployment controls.
Calibrated uncertainty
Each prediction must report an uncertainty measure that a backtest can compare with observed coverage.
Enterprise controls by default
Security, compliance, and deployment controls form part of the standard production configuration.
Work with eomer
The team combines machine-learning research, distributed systems, and applied domain work to deliver production decision systems.