AI chip design | SoC chip design | System on chip design

IDS-Verify

IDS-Validate

IDS-Integrate

IDS-IPGen

Tool for faster AI Chip Development

Accelerating Innovation in Semiconductor Design

Transform Your AI Chip Design Process

Discover how our advanced tool IDesignSpec™ can streamline your workflows, enhance productivity, and bring your AI Chips to market faster.

Key Features

Spec Drive Automation

Accelerate chip design with powerful automation of RTL for Designers, UVM for Verification Engineers, C/C++ for Firmware Engineers and Documentation for the entire team.

Fast Register Map Design,
Silicon Proven Bus Interface IP

Your team is more focused on your AI secret sauce so your chips get to your customers faster & at lower cost.

Industry’s Best Support

Timely and efficient responses means your team avoids downtime.

What we do

One of the large sections in any AI chip is the register-map which provides the ability to program the AI engine with weights, parameters, hyper-parameters, etc. These flexible and configurable elements in the AI design are created automatically from a single text based specification. Not just that, the way data moves in and out of these configurable elements is typically done thru standard hardware buses like AMBA, TileLink or CXL. These IPs are created by the Agnisys tool. Some studies suggest a saving of about 30% in time to market.

Advanced areas of chip design such as Clock Domain Crossing, Functional Safety, Low Power, Low Area, High performance are inherently dealt with by Agnisys’ Advanced EDA tool.

Paper : Hardware Based Handwritten Digit Recognition for MNIST

In recent years, hardware acceleration has become a significant area of research for speeding up machine learning tasks, particularly deep learning applications. Field Programmable Gate Arrays (FPGAs) offer unique advantages in terms of parallelism, reconfigurability, and energy efficiency compared to traditional CPU and GPU architectures. The handwritten digit recognition task, particularly using the MNIST dataset, is a classic problem in the machine learning community and serves as a benchmark for evaluating model performance.

This paper focuses on the direct implementation of a handwritten digit recognition model on an FPGA to explore how hardware-based solutions can enhance the speed and efficiency of deep learning models. The primary goal is to detail the FPGA configuration process, data precision handling, and overall performance analysis.

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Our Latest Press Release

Etched Selects IDesignSpec™ to Streamline AI Chip Development

Etched has made a bold bet that AI transformers would take over the world, and has spent the past two years developing Sohu, the world’s first specialized chip for transformers—the “T” in ChatGPT. Unlike other hardware, Sohu is purpose-built to optimize transformer-based models, outperforming traditional chips that handle a broader range of AI architectures. Etched is burning the transformer architecture directly into the chip, creating the world’s most powerful servers for transformer inference.

Upcoming Webinar: Verification Automation Using AI

As verification complexity continues to rise with larger IPs and SoCs, manual test creation and coverage closure are no longer scalable. In this webinar, “Verification Automation using AI,” Agnisys demonstrates how Artificial Intelligence can be applied to automate and accelerate key verification tasks while maintaining accuracy and quality.

You will learn how AI-driven verification solutions can analyze design specifications, RTL, and register descriptions to automatically generate UVM components, test scenarios, assertions, and coverage models. The session will also cover how AI helps identify verification gaps, optimize stimulus generation, and reduce redundant simulations leading to faster coverage closure.

What Our Customers Say

Eugin Liu, R&D Vice President

iCatch Technology

"Integrating IDS-Integrate into our design workflow allows us to automate complex SoC assembly tasks, reducing manual errors and accelerating our development timeline. This aligns with our commitment to delivering high-performance, cost-effective solutions to our customers–particularly in the development of our ThetaEyeTM AI solution SoC through our Vision-ASIC design services model".

Joon Kim, Director of TPM

Etched

"With Agnisys’ IDesignSpec, we have a powerful tool that automates our specification-driven workflow, allowing us to work more efficiently and eliminate risks associated with manual processes”.

Yukio Watanabe, IC Expert at Wacom

Wacom

With Agnisys as a trusted EDA partner. We look forward to reducing our overall IP and chip risks and speeding quality products to market for our eagerly awaiting customers.

Advanced HTML Documentation

ByAgnisys January 27, 2026 Semiconductor Design & Verification

IDS generates rich, interactive HTML documentation hosted within the Collaboration Framework (IDS-CF), enabling fast navigation, smart search, sorting, filtering, and...

DFT Feature Image Picsart BackgroundRemover

Design for Testability (DFT)

ByAgnisys January 27, 2026 Semiconductor Design & Verification

IDS generates DFT-aware RTL by introducing configurable control and observe points across critical logic such as read data, address decode...

Why Are AI Companies Rushing to Adopt Agnisys Solutions?

ByAgnisys January 14, 2026 Semiconductor Design & Verification

As you may have seen, we publish quite a few blog posts here on the Agnisys site. We cover...

AI/ML in verification

In this webinar, we explored an innovative framework for automated hardware verification using Genetic Algorithms and Value Change Dump (VCD) files. By leveraging evolutionary techniques, we demonstrated how optimized test vectors can efficiently identify anomalies, simplify signal analysis, and enhance verification throughput. designs.

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