Secure ai solution

AILAY is a dedicated-AI solution, deployed on the customer's own server, all data is encrypted and secured at the customer's site


BLOCKX AILAY features a robust dashboard that includes ROI calculation, productivity tracking, and accuracy rates for design models. It efficiently monitors tool usage, manages tasks, and analyzes training costs, enabling workflow optimization. The charts display work trends and performance by design cells (7nm, 5nm, 3nm), facilitating effective evaluation and adjustment of design strategies.


This workflow diagram illustrates the operational flow of BLOCKX AILAY in IC layout design. It shows how new circuit schematics are trained and modeled to generate new layouts, followed by result verification. The deep learning models are continuously improved through feedback loops, with support from experienced microchip design experts.

Breakthrough Core Technology

Module architecture

The layout skills are modeled, trained and packaged into modules, each skill corresponds to a module. Allows connecting and customizing skill sets for each layout project

Support standard process

Supporting all standard layout stages: Setting transistor, placing contact (future), wiring (in the future), floor and planning (in the future).

Provide standard layout skills

Analysis of principle circuit, transistor arrangement according to the principle circuit, the order of the transistor, inserting dummy, diverse fingers ...

Professional scope

Support standard cell layout, memory layout (future), IO layout (in the future).


Outstanding features

Modular architecture

Modeling and packaging layout skills into modules, enabling reuse and customization across multiple projects

Packaging basic layout skills in AILAY

Schematic analysis, dummy insertion, layer flipping, multi-finger

Automated Gate-Level Layout Optimization
Support for Standard Cell Layout, IO, and Memory
GUI (Graphical User Interface), CLI (Command Line Interface), and providing APIs for integration into EDA suites.
Displayed Image

Technology

AI technology (machine learning)

Dedicated-Ai technology (who built and deployed on the internal server)