AI Agents Powered by Tabular Foundation Models.
Turn structured data into probabilistic forecasts and automated decisions. Stabilize supply chains. Optimize energy systems. Unlock alpha.
Powered by TFMs • TB-to-PB scale • Enterprise-ready
Active Series
12,847
+2.4%
Forecast Accuracy
94.2%
+1.8%
Runs Today
38
+12
Recent Runs
Trusted by forward-thinking teams
Forecasting shouldn't be this hard.
Traditional approaches require months of pipeline engineering, domain-specific model training, and infrastructure management. We think there's a better way.
The status quo
- Time series data scattered across silos with inconsistent formats
- Forecasting pipelines take months to build and are fragile to maintain
- Infrastructure complexity blocks data scientists from shipping
- Uncertainty is ignored - point forecasts give false confidence
With eomer
- Unified data connectors with automatic alignment and validation
- Foundation model inference: zero-shot accuracy, no training pipeline
- One-click scaling from laptop to distributed clusters
- Full uncertainty quantification with prediction intervals and quantiles
From raw data to reliable forecasts.
Three steps. No ML engineering required.
Connect Your Data
Bring your time series from S3, CSV, XLSX, or databases. Our connectors handle schema detection, alignment, and validation automatically.
Prepare & Validate
Automated cleaning, imputation, and feature engineering. Preview data quality metrics before committing to a forecast run.
Forecast at Scale
Run TFM inference across your series with our distributed execution engine. Monitor progress, review results, and export predictions.
Everything you need for enterprise forecasting.
From zero-shot foundation models to production monitoring - a complete platform for time series intelligence.
Zero-Shot Foundation Forecasting
Leverage state-of-the-art Tabular Foundation Models for accurate forecasts without domain-specific training.
Uncertainty Quantification
Full prediction intervals and quantile distributions - understand not just what will happen, but the range of outcomes.
Backtesting & Drift Detection
Automated backtesting pipelines and distribution drift monitoring to ensure forecast reliability over time.
Multi-Series & Hierarchical
Handle thousands of correlated time series with hierarchical reconciliation for coherent forecasts across levels.
Scalable Execution
Distribute inference across clusters with our proprietary distributed computing engine. Go from prototype to production without re-architecture.
Enterprise Connectors
Native integrations with S3, CSV, XLSX, and database sources. Automated data validation and alignment built in.
Built for critical industries.
Supply Chain & Logistics
Predict demand, lead times, and disruptions. Automate procurement, supplier risk scoring, and dynamic inventory optimization.
Energy Systems
Forecast production, consumption, pricing, and asset performance. Enable scenario planning, predictive maintenance, and adaptive grid optimization.
Quantitative Finance
Generate alpha signals with calibrated confidence intervals. Agents autonomously explore, backtest, and monitor strategies across massive market datasets.
Foundation model forecasting, visualized.
Explore how our Tabular Foundation Models generate probabilistic forecasts across different domains and horizons.
Forecast — Retail
Forecast Distribution
End-of-horizon density estimate
MAPE
4.2%
RMSE
127.3
Coverage
93.8%
Quantiles
9
Built for teams that take security seriously.
Enterprise-grade security controls, compliance alignment, and deployment flexibility - because your data is your competitive advantage.
SOC 2-Ready Posture
Controls aligned with SOC 2 Type II requirements. Audit-ready from day one.
ISO 27001 Framework
Internationally certified partners with systematic, risk-based information security management.
Encryption Everywhere
AES-256 at rest, TLS 1.3 in transit. Managed key lifecycle with encrypted backups.
Tenant Isolation
Isolated execution environments per client. Your data never mixes with other tenants.
Privacy by Design
No model training on customer data. Your data is processed only to deliver your forecasts.
GDPR-Aligned
GDPR-aligned data handling practices with support for internal IT risk assessments.
Audit Logging
Complete audit trail of all data access, model runs, and configuration changes.
Data Residency
Choose where your data lives. Support for regional deployments and data sovereignty.
Deploy your way.
From fully managed to fully on-prem - choose the deployment model that fits your security and compliance requirements.
Managed Cloud
Get started in minutes. We handle the infrastructure so you can focus on insights.
- Zero infrastructure management
- Auto-scaling distributed compute
- 99.9% uptime SLA
- Managed updates and patches
Private Cloud (VPC)
Dedicated compute in your own virtual private cloud. Full isolation, full control.
- Runs in your AWS/GCP/Azure VPC
- Network-level isolation
- Custom security policies
- Dedicated support channel
On-Premises
Deploy entirely within your data center. Maximum control for regulated industries.
- Air-gapped deployment option
- Full data sovereignty
- Custom hardware acceleration
- Enterprise support agreement
Real impact, illustrated.
Illustrative examples based on typical outcomes. Not actual customer testimonials.
“We replaced three separate forecasting pipelines with eomer. What used to take our data team weeks now runs automatically with better accuracy.”
Sarah Chen
VP of Data Science, Example Retail Co.
Forecast accuracy
+12%
Time to forecast
3 weeks → 2 days
“The uncertainty quantification changed how we make inventory decisions. We finally have confidence intervals we can trust and act on.”
Marcus Webb
Head of Supply Chain, Example Manufacturing Inc.
Overstock reduced
−23%
Service level
94% → 98.5%
Meet the Founders
Built by engineers who understand both the science and the business of forecasting.
Lukas Voss
Co-Founder
Lukas brings experience in machine learning, quantitative finance, and strategy, with work spanning quantitative hedge funds, strategy consulting, and research in theoretical physics. He holds a double Master’s degree in Physics and Management and has published his academic work from NUS.
Thomas Kopfmuller
Co-Founder
Thomas brings over seven years of experience in applied AI for process industries, with leadership roles spanning AI implementation and portfolio management across EMEA. His background combines research in supply chain analysis, chemical engineering and business administration from TU Munich and MIT.
What's new at eomer.
Product launches, engineering insights, and roadmap updates.
Latest TFM Integration Now Available
Our state-of-the-art Tabular Foundation Models are now fully integrated. Achieve best-in-class forecasting accuracy out of the box.
Read moreScaling Guide: Distributed Inference
Learn how to scale from single-machine inference to distributed clusters handling millions of time series.
Read moreConnector Expansion & Classification
Coming soon: direct database connectors, Snowflake integration, and classification workloads for operational alerts.
Read moreBuild reliable forecasts in days, not quarters.
Join teams using foundation models to transform their forecasting and decision intelligence workflows. Start with a demo, ship to production.