Making forecasting accessible and reliable.
eomer was founded on a simple observation: the best forecasting models in the world exist in research, but getting them into production is still unreasonably hard. We're building the platform that bridges that gap.
By combining state-of-the-art Tabular Foundation Models with proprietary distributed computing infrastructure, we give enterprises the ability to forecast reliably - with proper uncertainty quantification - without building custom ML pipelines.
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 we believe
Accuracy First
We don't ship features that compromise forecast quality. Every decision is measured against prediction accuracy and reliability.
Infrastructure as Product
Scaling from one series to a million should be a slider, not a re-architecture. We invest in infrastructure so our users don't have to.
Honest Uncertainty
Point forecasts are comfortable but dangerous. We believe every prediction should come with a clear expression of confidence.
Enterprise by Default
Security, compliance, and deployment flexibility aren't add-ons. They're built into the foundation of everything we ship.
Want to work with us?
We're building a small, focused team of engineers and researchers who care about shipping great forecasting tools.