SpecForge Wins EdgeTech+ AWARD 2025

We are pleased to announce that our product SpecForge has been selected for the “EdgeTech+ AWARD 2025 AI Design Support Excellence Award” at EdgeTech+ 2025, hosted by the Japan Embedded Systems Technology Association (JASA). The EdgeTech+ AWARD recognizes products and services that contribute to the development of the embedded systems industry and the enhancement of domestic industrial competitiveness. Winners are selected through a rigorous screening process from applications submitted by exhibitors.

We would like to express our sincere gratitude to everyone involved in the selection process for this award. Encouraged by this recognition, we will redouble our efforts to contribute to the further development of the embedded systems industry.

Award Overview

AI Design Support Excellence Award
  • Product Name: SpecForge

  • Product Overview: With the spread of AI, there is an increasing number of systems that continue to evolve after market launch, making it crucial to ensure quality and accountability. SpecForge is a “Specification-Driven Development” platform that solves reliability and explainability issues in mission-critical systems. It supports “mathematically rigorous” specification descriptions, moving away from abstract and ambiguous requirements. These logical and consistent specifications not only improve design quality but also directly serve as system monitoring rules, enabling automatic verification of operational behavior. This achieves continuous quality assurance for systems based on consistent specifications throughout design, operation, and improvement.

  • Reason for Award: This product is an innovative tool that leverages AI to support specification formulation in system design, featuring advanced initiatives aimed at improving efficiency in the early stages of development. By automatically generating and managing formal specifications, it aims to enhance the consistency of the development process and significantly reduce the burden associated with specification changes and document management. The use of AI as a support tool for designers in a form close to actual operation was particularly noted. The judging committee highly evaluated the approach of directly addressing the most challenging issue of “specification definition” in the design process. The key point of evaluation was the presentation of a practical solution through human-AI collaboration for areas where automation remains difficult even with AI technology. Additionally, its potential for practical use in development sites and its social significance are substantial, presenting a new form of design process in the AI era, with expectations for future development.