/ 0132% error reduction
32%
Cut prediction error
Median error fell by 32% across migrations from classical baselines. The comparison covers forecast, regression, and calibrated classification targets.
Decision intelligence
for the enterprise
eomer connects tabular foundation models, domain context, and enterprise workflows to support operational decisions.
One platform for enterprise decision intelligence
Forecasting
Regression
Classification
Domain applications
Applied to enterprise decisions
across industries.
Forecast market prices before battery dispatch
Energy · Case studyOne foundation model. Three prediction tasks.
Platform · Overview
Evaluate vessel arrival forecasts across horizons
Maritime · Use case
Forecast demand across products and stores
Retail · Case study
Estimate advertising response across channels
Advertisement · Case studyIntegrations
eomer connects to your existing data stack through native platform interfaces.
- Snowflake
- Google Cloud
- Microsoft
- Databricks
- SAP
- AWS
Platform
One operating systemfor enterprise decision intelligence.
- 01
- 02
A complete decision intelligence stack
One system connects tabular foundation models, domain context, deployment infrastructure, and enterprise workflows.
Platform
One operating systemfor enterprise decision intelligence.
eomer combines tabular foundation models, domain context, deployment infrastructure, and decision applications in one platform that integrates with enterprise workflows.
A complete decision intelligence stack
One system connects tabular foundation models, domain context, deployment infrastructure, and enterprise workflows.
- 01Infrastructure
- 02Foundation Models
- 03Covariate Intelligence
- 04Decision Agents
- 05Enterprise Workflows
The modular stack
Each layer can serve a defined application, while the full platform provides one integrated path from data to decisions.
- InfrastructureDeploy eomer inside your cloud, private VPC, on-premise environment, or confidential-compute boundary.
- Foundation ModelsApply foundation models across datasets, markets, and time horizons without training a separate model for every use case.
- Covariate IntelligenceCombine weather, prices, promotions, calendars, sensor data, and market fundamentals with historical signals.
- Decision AgentsValidate forecasts, compare scenarios, orchestrate model runs, and turn quantified uncertainty into recommendations.
- Enterprise WorkflowsDeliver predictions through APIs, dashboards, ERP, EMS, trading systems, and internal tools.
Improvements from eomer migrations
Measured improvements
/ 02>100x shorter time to production
>100x
Shorten time to production
Across measured migrations, the time from prepared data to production predictions fell by more than 100x. One shared model removed repeated training and deployment work.
/ 033.5 FTE capacity reclaimed
3.5
Reclaim FTE capacity
Teams recovered an average capacity of 3.5 full-time equivalents (FTEs) after they replaced separate models with one system. Automation reduced routine tasks.
Across eomer migrations
Measured improvements across eomer migrations
/ 0132% error reduction
32%
Cut prediction error
Median error fell by 32% across migrations from classical baselines. The comparison covers forecast, regression, and calibrated classification targets.
/ 02>100x shorter time to production
>100x
Shorten time to production
Across measured migrations, the time from prepared data to production predictions fell by more than 100x. One shared model removed repeated training and deployment work.
/ 033.5 FTE capacity reclaimed
3.5
Reclaim FTE capacity
Teams recovered an average capacity of 3.5 full-time equivalents (FTEs) after they replaced separate models with one system. Automation reduced routine tasks.
The advantage of a unified decision layer.
A shared foundation for the data, models, and workflows
that support each enterprise application.
Tabular foundation model
Use one pre-trained model for forecasting, regression, and classification through a common interface.
Domain context
Configure the data, evaluation criteria, and review rules around each decision process.
Connected data
Connect enterprise data to a shared application layer through datasets and APIs.
Controlled access
Manage team access and API keys within the enterprise workflow.
Production workflows
Place model outputs inside existing processes with APIs and deployment controls.
Calibrated outputs
Review predictions alongside uncertainty to inform decisions and exception rules.
Applications for decisions
in your industry.
Built for enterprise workflows.
Explore securityManage team access, organization settings, and API keys through a shared platform interface.
Connect datasets and APIs to the infrastructure that supports each enterprise deployment.
Use domain criteria to evaluate model outputs and define review rules for uncertainty and exceptions.
The team that develops
eomer decision intelligence.
We connect research in tabular foundation models with the data, applications, and workflows that enterprises use.