Rosenblatt’s 4th Annual Technology Summit - The Age of AI (Part II)
Logotype for Silvaco Group Inc

Silvaco Group (SVCO) Rosenblatt’s 4th Annual Technology Summit - The Age of AI (Part II) summary

Event summary combining transcript, slides, and related documents.

Logotype for Silvaco Group Inc

Rosenblatt’s 4th Annual Technology Summit - The Age of AI (Part II) summary

23 Jan, 2026

Strategic direction and market positioning

  • Focus on enabling both semiconductor design and manufacturing through AI-driven digital twin modeling, expanding beyond traditional EDA design focus.

  • Core markets include display technologies, power semiconductors, memory products, automotive, HPC, IoT, and 5G/6G.

  • TCAD business unit is the main revenue driver, accounting for 69% of business, with EDA at 20% and IP at 11%.

  • Only two companies globally offer a full TCAD platform; aiming to become the market leader.

  • Revenue is primarily derived from advanced R&D projects, supporting innovation in displays, power devices, and memory.

Product innovation and technology

  • Fab Technology Co-Optimization (FTCO) product leverages digital twins and AI to optimize semiconductor manufacturing, reducing the need for costly prototyping.

  • FTCO enables fabs to improve yield, lower costs, and accelerate time-to-market by simulating process changes virtually.

  • Successfully deployed with Micron, resulting in a five-year contract and $5 million investment.

  • Plans to expand FTCO to power and advanced CMOS markets, addressing challenges in silicon carbide and sub-7nm nodes.

  • Estimated serviceable addressable market (SAM) for FTCO is $500 million, expanding the industry’s total addressable market.

AI integration and future outlook

  • AI is applied to simplify user interfaces, optimize complex simulations, and manage massive fab data sets.

  • AI reduces simulation requirements by up to 100x, enhancing efficiency for designers.

  • Digital twin models powered by AI help fab operators focus on key parameters, improving yield and process control.

  • Full AI-driven design automation is seen as a decade away, but current applications already deliver significant value.

Partial view of Summaries dataset, powered by Quartr API
AI can get things wrong. Verify important information.
All investor relations material. One API.
Learn more