About AEVO

The
Scientist-Practitioners

Uniting academic rigor with industrial warfare experience. We don't follow trends; we derive solutions from first principles.


Our Philosophy

AI + Evolution = AEVO

"AEVO" derives from the Latin roots of AI and Evolution. This embodies our core thesis: technology should catalyze fundamental transformation in enterprise capability, not merely automate existing processes.

We believe AI must not remain a passive tool. It should actively serve as the strategic engine of enterprise evolution, helping leaders navigate complexity, make precise decisions under uncertainty, and sustain competitive advantage in volatile markets.

"We don't just predict the future; we help you strategize it. Every model we build is a proof, not a guess."


Our Discipline

The Engineering Ethos

Bridging stochastic theory with industrial reality.

Rigorous Mathematical Foundation

Instead of relying on black-box algorithms, we ground our Agents in Operations Research and Applied Mathematics. Our research methodology prioritizes explainability and logical precision, ensuring that every automated decision is mathematically defensible.

Mission-Critical Architecture

Experience forged in high-concurrency, low-latency environments. We architect systems designed for resilience, handling complex supply chain signals and financial data streams where failure is not an option. We build for stability at scale.



Our Methodology

Perception & Decision Dual-Engine

The architectural principle behind decision-grade enterprise intelligence.

Perception & Decision Dual-Engine is not a buzzword; it is the architectural principle that separates decision-grade intelligence from probabilistic guesswork. By fusing the intuitive pattern recognition of cognitive networks (LLM + ML) with the logical rigor of symbolic systems (OR), your enterprise gains agents that perceive context, predict outcomes, optimize decisions, and execute autonomously. Every action is mathematically defensible and fully auditable.

Large Language Model

Context & Interface

Processes unstructured data: emails, contracts, news, and natural language queries. Provides the human-machine interface layer.

Machine Learning

Prediction & Pattern

Predictive pattern recognition for demand forecasting, risk scoring, and anomaly detection from structured historical data.

Operations Research

Optimization & Truth

Mathematical optimization with hard constraints. Finds the provably optimal solution, not just a good one. The mathematical truth layer.

AI Agents

Execution & Autonomy

Autonomous execution layer. Takes action based on optimized decisions, continuously monitoring and adapting in real-time.


Our Conviction

In an age of Generative AI, Truth is the most scarce resource. We do not build chatbots that guess; we build mathematical engines that solve.


Our Team

The Technical Core Driving Innovation

Dr. YuLi Tsai

Dr. YuLi Tsai

Chief Technology Officer & Co-Founder
Ph.D. in Engineering, The University of Tokyo
Advisory Team, Research Center for Advanced Science and Technology (RCAST), University of Tokyo

Dr. Tsai is deeply immersed in the world's most advanced algorithmic model research. With profound academic expertise and extensive hands-on experience, he has provided in-depth consulting and practical implementation services across finance, manufacturing, retail, and other industries. Beyond top-tier academic credentials, he has personally led teams deep into manufacturing and logistics frontlines, translating complex operations research formulas into deployable outcomes adapted to enterprise complexity and operational ambiguity. Dr. Tsai is dedicated to combining cutting-edge Stochastic Control Theory with Complex Systems Engineering to develop highly stable algorithmic models, delivering end-to-end solutions from foundational logic to application for global enterprises, ensuring AEVO's agents achieve aerospace-grade precision in volatile business environments.

"Reliability is not a feature; it is a constraint."

Dr. YuLi Tsai

Core Competencies

Stochastic Control Complex Systems Engineering Aeronautics & Flight Dynamics Quantitative Finance Agentic Architecture


Domain Expertise

Where We Go Deep

Stochastic Optimization

Mathematical modeling under uncertainty. We specialize in stochastic programming, robust optimization, and Monte Carlo methods for real-world decision-making.

Industrial Automation

End-to-end automation architecture for manufacturing and logistics. From sensor-level data ingestion to enterprise-level decision orchestration.

Cloud Architecture

Sovereign cloud infrastructure design at scale. We architect systems that serve millions while keeping every byte within your jurisdiction.


Operating Principles

What Governs Our Work

These are not marketing slogans. They are the non-negotiable constraints of our own objective function.

PRINCIPLE 01

Mathematical Rigor Over Heuristics

Every recommendation we make can be traced back to a formal proof or a validated model. We do not rely on intuition alone.

PRINCIPLE 02

Data Sovereignty Is Non-Negotiable

Your data never leaves your perimeter. Our agents operate on-premise or in your private cloud. Zero exceptions.

PRINCIPLE 03

Outcomes, Not Outputs

We measure success by the delta in your objective function, not by the volume of deliverables. If the math doesn't improve, we haven't succeeded.

PRINCIPLE 04

Radical Transparency

Every model is fully auditable. Every assumption is documented. You own the methodology, not just the result.


Join the Coalition

The Right Conversation
Starts Here

Whether you're optimizing a supply chain or rethinking your AI strategy, we're ready to apply mathematical precision to your challenge.

Schedule a Consultation