ENERZAi’s Optimium has been awarded the 2025 Edge AI and Vision Product of the Year Award in the Edge AI Development Platforms category.
Optimium is a software development platform designed to overcome the functional limitations of existing engines and facilitate the convenient deployment of edge AI models with optimal performance. It enhances the inference speed of AI models on target hardware without sacrificing accuracy and simplifies deployment across various hardware using a single tool. Utilizing our proprietary optimization techniques, Optimium has shown superior performance compared to existing engines. AI models deployed with Optimium achieved significantly faster inference speeds than those deployed with traditional engines on various hardware platforms, including Arm, Intel, and AMD. In fact, it is the fastest inference engine for deploying computer vision models on CPUs. By performing hardware-aware inference optimization tailored to each device, Optimium is the ideal solution for implementing high-performing and power-efficient edge AI applications on resource-constrained edge devices.
Optimium aims to accelerate AI model inference on target hardware while maintaining accuracy and enabling seamless deployment across different hardware platforms with a single tool. To achieve high performance and flexibility, we developed Nadya, our proprietary metaprogramming language. Nadya plays a crucial role in model tuning, which involves finding the optimal parameter combinations for each layer of an AI model. Specifically, it generates code based on various parameter combinations through metaprogramming and compiles the code for optimized execution on the target hardware. Unlike programming languages commonly used for high-performance computing, such as C, C++, and Rust, which require manual coding tailored to the target hardware, Nadya allows programmers to automatically generate compatible code for various types of hardware from a single implementation. This metaprogramming feature enables convenient deployment across diverse hardware platforms with one tool. In contrast, existing inference engines often require different tools for each target hardware, which complicates and slows down AI model deployment. With Optimium, the time and costs associated with AI model deployment can be significantly reduced.
“ENERZAi team is incredibly honored and thankful to the Edge AI and Vision Alliance for this prestigious recognition. Our next-generation AI inference engine, Optimium, is purpose-built to overcome the functional limitations of current inference backends, enabling deployment of edge AI models with unparalleled performance by significantly accelerating AI inference on target hardware without compromising accuracy. We are expanding our coverage to providing extreme low-bit & low-memory models combined with powerful kernels to successfully run on edge and we are more than happy to kick-off this journey with this amazing award. Big thanks to Edge AI and Vision Alliance – can’t wait to explore what’s ahead for us together!” – Daniel Chang, CEO and Cofounder of ENERZAi
ENERZAi is an edge AI startup company dedicated to delivering the best AI experience on everything for everyone. Notably, our expertise and experience lie in AI inference optimization technology, crucial for deploying and utilizing AI models effectively in real-world applications. We have developed an AI inference optimization engine, ‘Optimium’, aimed at significantly enhancing inference speed on the target hardware environment while maintaining accuracy.
The award trophy will be presented at the 2025 Embedded Vision Summit May 20-22 in Santa Clara, CA. The awards program is organized by the Edge AI and Vision Alliance. The Edge AI and Vision Product of the Year Awards celebrate the innovation and achievement of the industry’s leading companies that are enabling and developing products incorporating edge AI and computer vision technologies.
