Decision science. Operational commitment.
AEVO is a technology company focused on enterprise decision intelligence. We combine quantitative expertise, business understanding and engineering to turn agreed priorities into repeatable operational decisions.
The bridge from strategy to daily decisions.
Our role is to make operating choices explicit, test them against constraints, and embed the resulting models into your workflows. We work with your leadership, domain experts and technology teams; accountability and the business context remain central throughout delivery.
One delivery path, from data to action.
AEVO brings data architecture, governance and decision modeling into a common delivery plan, with accountable owners at every handoff.
See our end-to-end approach →
Dr. YuLi Tsai
CTO & Co-Founder
Ph.D. in Engineering, The University of Tokyo
Industry-academic advisory network
Dr. Tsai is deeply engaged in frontier algorithmic model research worldwide. With strong academic depth and extensive practical experience, he has delivered advanced consulting and implementation services across finance, manufacturing, retail, and other industries. He combines cutting-edge Stochastic Control Theory with Complex Systems Engineering to build highly stable algorithmic models and provide end-to-end solutions from foundational logic to enterprise application, leading delivery from model design to production rollout. Focus: reliable execution, risk control, and measurable business impact.
What guides our work
Decision first. Governance by design. Value measured against a baseline. Explanations that support accountable action.
A disciplined path from insight to execution.
Frame the decision
Agree on business owners, data boundaries, constraints and the current performance baseline.
Validate in shadow mode
Compare model recommendations against existing decisions before changing live operations.
Integrate with control
Connect agreed systems, approval gates and exception handling with your operating teams.
Monitor value over time
Track agreed KPIs, review model behavior and adapt as business conditions change.
From business questions to decisions you can explore.
Explore the Enterprise Decision Engine with sample data. See how business priorities, constraints and recommended actions come together.
Decision EngineThe public decision engine has eight modules and uses sample data. Production planning and energy optimization are additional enterprise capabilities. Demonstrations illustrate scenarios, not customer results.
How the Decision Engine works →Demand & inventory
Explore how demand changes affect replenishment, shortage risks and inventory levels.
Working capital
Compare the effects of receivables, payables and inventory on the cash conversion cycle.
Supply chain risk
Review supplier concentration, delivery variability and sourcing alternatives.
Start with a decision that matters.
Tell us where cost, capacity, risk or cash is limiting performance. We will help define a focused evaluation before committing to a wider transformation.