From Decades of Risk Modeling to the Future of Supply Chain Resilience
From Decades of Risk Modeling to the Future of Supply Chain Resilience
Who We Are
Built for Risk.
Evolved for Resilience.
Centrum-AI applies 20+ years of expertise in machine learning, big data, and risk modeling to solve today’s most urgent operational challenge: supply chain uncertainty.
Rooted in financial services — where precision and accountability are non-negotiable — we’ve built systems that demand clarity, not guesswork. Today, we bring that same discipline to global supply chains, delivering consistent, explainable intelligence in a world of constant disruption.
Our Mission
Fortifying democracy by strengthening industrial resilience on all levels in a rapidly changing world.
Fortifying democracy by strengthening industrial resilience on all levels in a rapidly changing world.
Fortifying democracy by strengthening industrial resilience on all levels in a rapidly changing world.
Fortifying democracy by strengthening industrial resilience on all levels in a rapidly changing world.
Fortifying democracy by strengthening industrial resilience on all levels in a rapidly changing world.
Our History
From Finance to Supply Chain, a Legacy in Risk Intelligence
From Finance to Supply Chain, a Legacy in Risk Intelligence
From Finance to Supply Chain, a Legacy in Risk Intelligence
From Finance to Supply Chain, a Legacy in Risk Intelligence
20+ Years of Building AI for High-Stakes Decisions
20+ Years of Building AI for High-Stakes Decisions
20+ Years of Building AI for High-Stakes Decisions
Our story begins in the financial sector — an environment where precision, accountability, and explainability are non-negotiable. Since the late 1990s, our team has been at the forefront of machine learning and big data, long before those concepts became buzzwords.
Our story begins in the financial sector — an environment where precision, accountability, and explainability are non-negotiable. Since the late 1990s, our team has been at the forefront of machine learning and big data, long before those concepts became buzzwords.
Our story begins in the financial sector — an environment where precision, accountability, and explainability are non-negotiable. Since the late 1990s, our team has been at the forefront of machine learning and big data, long before those concepts became buzzwords.
Our story begins in the financial sector — an environment where precision, accountability, and explainability are non-negotiable. Since the late 1990s, our team has been at the forefront of machine learning and big data, long before those concepts became buzzwords.
Our story begins in the financial sector — an environment where precision, accountability, and explainability are non-negotiable. Since the late 1990s, our team has been at the forefront of machine learning and big data, long before those concepts became buzzwords.
We designed early ML systems, pioneered GPU-based modeling as early as 2008, and built enterprise platforms that processed the majority of U.S. financial transactions. We also led the development of intelligent automation and document processing systems used by major institutions.
We designed early ML systems, pioneered GPU-based modeling as early as 2008, and built enterprise platforms that processed the majority of U.S. financial transactions. We also led the development of intelligent automation and document processing systems used by major institutions.
We designed early ML systems, pioneered GPU-based modeling as early as 2008, and built enterprise platforms that processed the majority of U.S. financial transactions. We also led the development of intelligent automation and document processing systems used by major institutions.
We designed early ML systems, pioneered GPU-based modeling as early as 2008, and built enterprise platforms that processed the majority of U.S. financial transactions. We also led the development of intelligent automation and document processing systems used by major institutions.
We designed early ML systems, pioneered GPU-based modeling as early as 2008, and built enterprise platforms that processed the majority of U.S. financial transactions. We also led the development of intelligent automation and document processing systems used by major institutions.
Along the way, we contributed to the open-source infrastructure behind today’s data stack — including technologies like Hadoop, Spark, Lucene, Weka, Eclipse, and JBoss.
Along the way, we contributed to the open-source infrastructure behind today’s data stack — including technologies like Hadoop, Spark, Lucene, Weka, Eclipse, and JBoss.
Along the way, we contributed to the open-source infrastructure behind today’s data stack — including technologies like Hadoop, Spark, Lucene, Weka, Eclipse, and JBoss.
Along the way, we contributed to the open-source infrastructure behind today’s data stack — including technologies like Hadoop, Spark, Lucene, Weka, Eclipse, and JBoss.
Along the way, we contributed to the open-source infrastructure behind today’s data stack — including technologies like Hadoop, Spark, Lucene, Weka, Eclipse, and JBoss.
This legacy of risk modeling and compliance continues to shape our philosophy. Today, we bring the rigor of financial modeling to the world of supply chains — ensuring that decisions are fast, explainable, and built to withstand disruption.
This legacy of risk modeling and compliance continues to shape our philosophy. Today, we bring the rigor of financial modeling to the world of supply chains — ensuring that decisions are fast, explainable, and built to withstand disruption.
This legacy of risk modeling and compliance continues to shape our philosophy. Today, we bring the rigor of financial modeling to the world of supply chains — ensuring that decisions are fast, explainable, and built to withstand disruption.
This legacy of risk modeling and compliance continues to shape our philosophy. Today, we bring the rigor of financial modeling to the world of supply chains — ensuring that decisions are fast, explainable, and built to withstand disruption.
This legacy of risk modeling and compliance continues to shape our philosophy. Today, we bring the rigor of financial modeling to the world of supply chains — ensuring that decisions are fast, explainable, and built to withstand disruption.
Investors
Backed by Leaders in Risk, Finance, and Enterprise Tech
Investor
Stephan
Cizmar
Co-Founder at Lorimer Ventures
Former VP of Product Strategy at Unqork, the no-code platform that helped streamline and modernize digital operations across leading financial institutions. Stephan brings deep expertise in enterprise platforms and innovation in highly regulated industries.
Investor
Stephan
Cizmar
Co-Founder at Lorimer Ventures
Former VP of Product Strategy at Unqork, the no-code platform that helped streamline and modernize digital operations across leading financial institutions. Stephan brings deep expertise in enterprise platforms and innovation in highly regulated industries.
Investor
Stephan
Cizmar
Co-Founder at Lorimer Ventures
Former VP of Product Strategy at Unqork, the no-code platform that helped streamline and modernize digital operations across leading financial institutions. Stephan brings deep expertise in enterprise platforms and innovation in highly regulated industries.
Investor
David
Magerman
Co-founder at Differential Ventures
Former CTO at Renaissance Technologies, one of the most successful quantitative hedge fund management company. David brings unparalleled insight into data science, statistical modeling, and large-scale software infrastructure.
Investor
David
Magerman
Co-founder at Differential Ventures
Former CTO at Renaissance Technologies, one of the most successful quantitative hedge fund management company. David brings unparalleled insight into data science, statistical modeling, and large-scale software infrastructure.
Investor
David
Magerman
Co-founder at Differential Ventures
Former CTO at Renaissance Technologies, one of the most successful quantitative hedge fund management company. David brings unparalleled insight into data science, statistical modeling, and large-scale software infrastructure.
Investor
Stefan
Groschupf
Founder Centrum-AI
Founder of Datameer and Automation Hero, platforms that powered AI adoption across Fortune 500s. Stefan brings deep expertise in machine learning, large-scale data infrastructure, and enterprise-grade automation systems.
Investor
Stefan
Groschupf
Founder Centrum-AI
Founder of Datameer and Automation Hero, platforms that powered AI adoption across Fortune 500s. Stefan brings deep expertise in machine learning, large-scale data infrastructure, and enterprise-grade automation systems.
Investor
Stefan
Groschupf
Founder Centrum-AI
Founder of Datameer and Automation Hero, platforms that powered AI adoption across Fortune 500s. Stefan brings deep expertise in machine learning, large-scale data infrastructure, and enterprise-grade automation systems.
Why Centrum-AI
From Financial Discipline to Supply Chain Intelligence
We don’t build black boxes or probabilistic guesses. We build deterministic systems — predictable, explainable, and policy-aligned.
Deterministic Decisions You Can Trust
Our AI gives the same output for the same input — always. Transparent, explainable, and audit-ready automation built for high-stakes operations.
Causal Insight into Global Disruptions
Go beyond alerts — understand how disruptions ripple through the global supply chain and act before the damage is done.
Self-Healing, Always Cleaned Data
Our AI detects and corrects data errors before they impact decisions — with up to 99.7% accuracy, no training data or heuristics needed.
Let’s Build Resilience Together
Let’s Build Resilience Together
Supply chain certainty doesn’t begin with better guesses — it begins with better foundations. Let’s build the future of global operations with AI that’s explainable, reliable, and built for the real world.
Supply chain certainty doesn’t begin with better guesses — it begins with better foundations. Let’s build the future of global operations with AI that’s explainable, reliable, and built for the real world.
Supply chain certainty doesn’t begin with better guesses — it begins with better foundations. Let’s build the future of global operations with AI that’s explainable, reliable, and built for the real world.
Supply chain certainty doesn’t begin with better guesses — it begins with better foundations. Let’s build the future of global operations with AI that’s explainable, reliable, and built for the real world.