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Designing a New Interface for Physical Law

A modular, Python-based simulation engine built for education, industry, R&D and future quantum compatibility. Designed by chemical engineers for chemical engineers. 

Why We're Building Equilibria
 

Rebuilding Simulation Tools from First Principles
 

Equilibria was born from a frustration many engineers share: simulation software hasn’t evolved fast enough to meet the demands of modern research, education, and design. You deserve intuitive tools, closer approximations, and an experience you enjoy.

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Built by chemical engineers who code, Equilibria fuses process engineering with modular software, AI optimization, and quantum-readiness, offering tools that scale with you from classroom to cutting-edge R&D with a seamless transition. 

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How It Works

Modular Simulation Engine

Simulate full chemical processes

Our backend models individual unit operations that can be connected into a process flowsheet, allowing you to simulate material and energy flow across an entire system.

 

Each unit calculates mass and energy balances using real thermophysical properties from CoolProp, so you can explore both the structure and behavior of chemical processes in a controlled, editable environment.

Academic Mode

Learn with just enough complexity, then scale up

Academic Mode lets users choose how much technical detail they want to see. Toggle between simplified and more detailed views of each unit operation. Start with core concepts like flow rates and heat exchange, then dive deeper concepts like fouling factors and friction coefficients. Our Certainty Index, embedded in Academic Mode, helps students understand the tradeoffs of simplified scenarios and how those tradeoffs affect model accuracy in each complexity level.

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It’s designed to support students and instructors alike, bridging the gap between textbook diagrams and real process simulation. Instructors will be able to set the complexity level available to their students, tailoring the simulation experience to each course.

Engineered for What's Ahead

AI & Quantum Ready

Equilibria’s modular architecture supports future plug-ins for quantum solvers and machine learning layers without rewriting the core engine. This keeps the simulation fast and flexible today, while making space for more advanced computation tomorrow.

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Whether you’re simulating a basic separation or experimenting with quantum-enhanced heat integration, the same engine supports both without changing how you build.

Our Team.

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