EvoPhase

EvoPhase is an AI-driven engineering technology company that specializes in evolutionary design for industrial processes and equipment. The company uses proprietary evolutionary algorithms, often paired with discrete element methods (DEM) and computational fluid dynamics (CFD), to simulate and optimize industrial systems. Unlike traditional deep learning, their technology does not rely on massive training datasets; instead, it utilizes natural selection principles to generate, test, and refine thousands of potential designs autonomously. This approach allows the company to create bespoke mathematical geometry kernels that can describe and optimize complex configurations, such as mixing blades or turbine designs, to reach high-performance targets beyond human intuition.

By integrating predictive modeling and real-world material characterization—including the use of Positron Emission Particle Tracking (PEPT)—EvoPhase addresses complex industrial challenges involving granular materials and fluids. This technology helps companies in sectors such as pharmaceuticals, food and beverage, and sustainable infrastructure significantly reduce energy consumption, waste, and design timelines from years to weeks. The company provides a human-centered, transparent design process that enhances existing engineering expertise rather than replacing it, offering solutions that lead to measurable efficiency gains, higher throughput, and increased operational sustainability.