Focusing on the AI Big Picture with Moores Lab AI at DAC 2026

DAC 2026 proved that agentic AI design flows are here to stay. The news was conveyed both by familiar companies who we’ve seen at DAC many times before as well as new entrants to the show and the industry. Many of the solutions that were presented focused on a specific part of the design flow. Others took a broader view of the problem and discussed how the pieces fit together to create a complete solution.

Moores Lab AI is one of the companies in that latter category. The company is delivering a platform that enables silicon engineering at the speed of AI. I will share what I learned about focusing on the AI big picture with Moores Lab AI at DAC 2026.

About the Company

Moores Lab AI is a young company with remarkable momentum and impressive engineering expertise. In a short period of time, the team has built and launched a suite of products spanning the chip design flow, complementing and extending existing EDA tools. That progress is already translating into market traction: two companies are using Moores Lab AI tools in production, while more than 30 additional companies are working toward production deployment.

The breadth of coverage delivered by Moores Lab AI tools created significant interest at DAC. A lot of folks stopped by the booth to get a closer look at the company’s unique offering. It seems clear the team is developing something that is in demand. I had the opportunity to learn more at DAC.

The CEO’s Views

Shelly Henry is the CEO and co-founder of Moores Lab AI. He has over 25 years of semiconductor industry experience leading silicon teams that developed high-profile products at Microsoft and ARM. Shelly has successfully delivered chips that power billions of devices worldwide. He is passionate about driving efficiency and innovation.

I had the opportunity to spend some time with Shelly at DAC. First, we reviewed what products are currently available. The MooreIP™ product suite consists of:

• DebugAgent –Automates debug at scale so engineers stop chasing waveforms.
• CoverageAgent – Allows teams to go from coverage chaos to signoff confidence.
• VerifAgent – Collapses 7+ months of functional verification into 1 month.
• SpecAgent – Reduces spec-driven bugs before they happen.

The last item (SpecAgent) was recently launched. I’ll provide additional context on this product in a moment. There are additional products in the MooreIP pipeline. Watch for announcements.

There is also a MooreSoC™ product suite launching soon. Moores Lab AI was founded in 2025, so this level of progress is truly remarkable. I wanted to understand the motivation for the company, so we talked about current design trends and where the gaps are.

Shelly explained that current AI models cannot deliver the precision required for engineering applications such as chip design. The Moores Lab AI product suite fills this gap by automating the hundreds of skills required to get to a successful tapeout. This depth of understanding of the details is what sets the company apart.

He went on to point out there is a shift in design practices. Thanks to pervasive IP reuse, integration and validation of existing designs are far more prevalent than designing from scratch. In this environment, debug and verification become critical. The Moores Lab AI tool suite delivers strong capabilities here.

There is another important aspect of this process, the accuracy of the specifications that drive IP reuse. Shelly pointed out that architects do understand how a complex design should work. The challenge is to ensure what is captured in the written specifications and supporting documents is current, up-to-date and consistent. This information is what the chip design and implementation teams will use to drive assembly of the system.

The old adage, “garbage in, garbage out” is relevant here.  This is why SpecAgent was recently launched. The tool addresses the inconsistent spec problem, ensuring that what is being verified and debugged accurately reflects the detailed requirements of the system. 

We also discussed the cost of tokens. This is getting to be a challenge. By focusing on the engineering details of the process, Moores Lab AI enhances the efficiency and ROI of agentic flows and manage the runaway use of tokens.

Shelly explained that Moores Lab AI tools are generating test benches for hundreds of IPs. Given the newness of the company that represents substantial and fast progress. Shelly concluded by discussing the emerging chiplet market. The company will be having an impact here as well.

To Learn More

If you want to add agentic AI to your design flow (and you should), Moores Lab AI is a company you should explore. You can learn more on SemiWiki here. And you can probe deeper on the Moores Lab AI website here. You can also book a meeting on the website to learn more and find out how to start a pilot program. And that’s what I learned about focusing on the AI big picture with Moores Lab AI at DAC 2026.

Also Read:

MooresLabAI at DAC 2026: Why the Future of Semiconductor Engineering Is Agentic, Not Just Generative

Agentic AI and the Future of Chip Design: From Productivity Tool to Engineering Partner

Are You Ready for Spec-Driven Verification?