About CREI

Enterprise modeling revealed a problem upstream of the model.

CREI — Capital Returns & Equity Intelligence — was founded on a pattern observed over ten years and hundreds of enterprise decisions: the model was right, but the decision still failed. We exist to close that gap.

From simulation engine to decision intelligence.

Logyc began by building end-to-end models of how enterprises actually operate — from financial commitments and raw materials through capacity, distribution, customers, cash flow, and capital.

As the models became more complete, a recurring pattern emerged. Outcomes depended not only on the accuracy of the analysis, but on the quality of the decision that configured the system in the first place. The most consequential variable was often upstream: Had the real decision been clearly framed? Had the load-bearing assumption been identified? Had cross-functional intelligence reached the recommendation? Had adverse conditions been examined? Had leading indicators and correction mechanisms been agreed before commitment?

CREI was created to operationalize that discovery. Today, CREI works directly with leadership teams across finance, accounting, operations, strategy, transactions, technology, and governance. Logyc supplies the enterprise modeling, simulation, decision memory, monitoring, and learning infrastructure that makes the discipline repeatable and scalable.

CREI delivers Decision Intelligence. Logyc powers it.

Built on outcomes, not credentials.

10+
Years
Enterprise simulation in production across capital allocation, supply chain, and risk
Weeks
Not Quarters
Logyc delivers actionable intelligence from messy data — no “clean data” prerequisite
6
Active Briefs
Intelligence briefs continuously updated across tariffs, rates, energy, governance risk, supply chain, and enterprise AI — across 6 monitored coverage domains
Partner Partner Partner Partner Partner Partner
“The enterprise often possesses the intelligence required to improve the decision. The failure is that the intelligence does not reach the commitment in time.”

A secondary insight follows: the spreadsheet is often correct — the assumptions are not. The analysis is thorough, the model defensible, and the decision still fails because the risk that mattered was never in the model. CREI exists to bring it in before commitment.

Founded and led by a practitioner.

Andrew Vasserman

Andrew Vasserman

Founder & Chairman — CREI · Founder — Logyc

Andrew built Logyc over ten years into an enterprise simulation platform used by leadership teams to test capital allocation, supply chain, and risk decisions before committing resources. That work — and the recurring pattern of technically correct models leading to flawed decisions — led to the founding of CREI.

He is a member of the Harvard Business Review Advisory Council, where he contributes practitioner insight on capital allocation and decision-making under uncertainty, and participates in the AWS Advisory Customer Council, contributing perspective on decision-critical enterprise systems.

Andrew engages selectively — through private strategic decision reviews for executives navigating moments where internal consensus has formed too quickly, or where institutional incentives have distorted risk perception.

Three layers of intelligence.

Decision Advisory

Independent analysis for boards and CFOs on capital decisions where the cost of being wrong is asymmetric. Scenario modeling, threat assessment, and hidden liability surfacing — before the commitment is made.

Enterprise Simulation

Logyc's platform turns messy data and operator expertise into ranked decisions with clear trade-offs. End-to-end models across capital allocation, supply chain, and risk — delivered in weeks, not quarters.

CREI Intelligence

Continuous threat monitoring, enterprise vulnerability mapping, and scenario modeling through a secure interface — calibrated to the capital decisions your organization is facing right now.

A major decision on the horizon.

If you are responsible for a decision that will still matter five years from now,
you already know why this work exists.

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