Enhancing AI Performance at the Edge
The ML Overlay FPGA Core is dedicated to revolutionizing machine learning (ML), neural network (NN), and artificial intelligence (AI) systems by providing real-time hardware modules. Our goal is to enhance AI performance at the edge, enabling reliable, deterministic timing, and fail-safe control for ML pipelines.
With our cutting-edge FPGA core, we offer innovative solutions that transform the way AI systems operate. By leveraging our expertise and creativity, we develop tailored hardware solutions that address specific AI model requirements and drive tangible results for our clients.
Mission
Our Vision
Our mission at ML Overlay FPGA Core is to empower AI systems through real-time hardware technology, leading them towards enhanced performance and reliability. We strive to provide efficient and effective FPGA solutions that optimize ML processes, boost efficiency, and drive AI system performance.
By focusing on innovation and customer satisfaction, we aim to be the preferred partner for organizations seeking to elevate their AI systems through transformative hardware technology.
Team
Meet Our Experts
Our team building the ML Overlay FPGA Core consists of dedicated professionals with diverse backgrounds and expertise in FPGA development. We are passionate about creating impactful solutions that help AI systems thrive at the edge.
Daron Hill — Security & FPGA Specialist
CEO
Daron combines 20+ years of law enforcement and cybersecurity experience with a deep passion for emerging hardware innovation. During his cybersecurity training, he investigated computer crimes and identity theft, trained on digital security protocols, and earned multiple awards for outstanding public service.
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Over the past five years, he has shifted his focus to machine learning and FPGA systems, experimenting with models ranging from self-driving algorithms to adaptive learning architectures. Daron works hands-on with Arduino and UART-based FPGA boards such as OrangeCrab, ESP32, and Nexys A7, leveraging Vivado to push the limits of embedded intelligence.
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His unique background in security and machine learning fuels his mission to create secure, high-performance ML overlay cores that bridge safety and innovation.
312-856-7054
