Heronic Technologies offers design services to develop bespoke, specialized AI accelerator architectures for FPGA devices. Using our in-house design automation toolflow and an IP portfolio, we can create designs suited to the unique demands of your AI application. We can design for many different applications, including but not limited to, Object Detection, Image Segmentation, Super Resolution, Image Classification, Action Recognition, Keyword Spotting and Anomaly Detection. Our accelerators build upon the strengths of both streaming-based and single engine-based design approaches, operating via AXI-Stream interfaces in and out, and with minimal AXI4-Lite control signals. Additionally, our expertise in computer vision enables us to assist with any software-level integration. We are committed to fostering a collaborative environment to integrate seamlessly within existing design processes and deliver unparalleled efficiency for your most challenging AI workload...
Heronic Technologies offers design services to develop bespoke, specialized AI accelerator architectures for FPGA devices. Using our in-house design automation toolflow and an IP portfolio, we can create designs suited to the unique demands of your AI application. We can design for many different applications, including but not limited to, Object Detection, Image Segmentation, Super Resolution, Image Classification, Action Recognition, Keyword Spotting and Anomaly Detection. Our accelerators build upon the strengths of both streaming-based and single engine-based design approaches, operating via AXI-Stream interfaces in and out, and with minimal AXI4-Lite control signals. Additionally, our expertise in computer vision enables us to assist with any software-level integration. We are committed to fostering a collaborative environment to integrate seamlessly within existing design processes and deliver unparalleled efficiency for your most challenging AI workloads.
Heronic Technologies addresses the critical industry challenge of low hardware compute occupancy in Edge AI and TinyML devices, where generalized architectures such as GPUs and NPUs lead to significant inefficiencies in energy consumption, performance, and cost. By leveraging advanced automation, we enable the rapid development of highly efficient, application-specific AI hardware that maximizes performance per dollar and achieves microsecond-level latency, far surpassing the capabilities of current off-the-shelf solutions. Our unique approach has already yielded groundbreaking results, demonstrating state-of-the-art performance on industry benchmarks like MLPerf Tiny, and outperforming comparable NVIDIA offerings.