See Autonomous Chip Design in Action with ChipAgents at DAC 2026

For decades, semiconductor innovation has been constrained not by imagination, but by engineering capacity. While transistor density has continued to advance, the process of building chips has remained fundamentally manual, fragmented across specifications, RTL, verification, debugging, coverage analysis, and signoff. As chips become exponentially more complex, engineering teams have been forced to spend more time coordinating work than creating innovation.

MooresLabAI was founded to change that.

CEO Shelly Henry, whose career spans ARM, Microsoft, and some of the industry’s most advanced silicon programs, believes the next revolution in semiconductors will not come from a better EDA tool or a faster compiler. It will come from a new engineering paradigm: autonomous silicon development powered by intelligent AI agents that reason, collaborate, and execute alongside human engineers.

“The future isn’t AI generating snippets of RTL,” Henry has said. “The future is AI understanding the entire engineering problem.” That philosophy has shaped every aspect of MooresLabAI’s platform, which is designed to orchestrate the complete silicon lifecycle rather than optimize isolated tasks.

Today, the company is building an end-to-end ecosystem of specialized reasoning agents that support engineers from specification through tapeout. SpecAgent™ transforms fragmented requirements into trusted engineering specifications, ensuring that design intent remains consistent as projects evolve. DesignAgent™ and MooreIP accelerate RTL and IP development, while MooreSoC helps teams integrate increasingly complex heterogeneous systems.

The largest opportunity, however, lies in verification, the phase that now dominates modern chip schedules.

VerifAgent™ autonomously generates verification environments, functional coverage, and intelligent test plans. DebugAgent™ reasons across specifications, RTL, waveforms, and simulation logs to isolate failures in minutes instead of days. CoverageAgent™ continuously analyzes regressions, identifies meaningful coverage gaps, and recommends the shortest path to closure.

Rather than functioning as disconnected AI assistants, these agents share context across the development lifecycle, allowing engineering knowledge to persist from architecture through verification and signoff. The result is something fundamentally different from today’s generative coding tools: an AI-native engineering platform that understands silicon development as a complete system.

This distinction matters because semiconductor engineering has become an infrastructure problem as much as a technical one. Design complexity is exploding, experienced verification engineers are increasingly difficult to hire, and tapeout schedules continue to compress. Simply making engineers write code faster does little to solve these structural challenges. Henry argues that the future belongs to platforms capable of coordinating entire engineering workflows, allowing small teams to accomplish what previously required organizations many times their size.

Importantly, MooresLabAI is not asking customers to abandon their existing ecosystems. The platform integrates with industry-standard EDA environments from Synopsys, Cadence, and Siemens, augmenting established methodologies rather than replacing them. AI becomes another trusted member of the engineering team—one that never loses context, never tires of repetitive work, and continuously learns from the project’s evolving design intent.

That vision extends beyond productivity gains. Henry often speaks about democratizing silicon engineering—making advanced chip development accessible not only to the largest semiconductor companies, but also to startups, research organizations, and emerging innovators around the world. Just as cloud computing lowered the barrier to building software, he believes agentic AI will dramatically lower the barrier to designing world-class silicon.

The company’s current product suite—VerifAgent™, DebugAgent™, CoverageAgent™, SpecAgent™, DesignAgent™, MooreIP, and MooreSoC—is only the beginning. Together, they represent the foundation of a much broader vision: a future where AI doesn’t simply accelerate isolated engineering tasks, but collaborates across the entire chip development pipeline, transforming months of manual coordination into intelligent, autonomous execution.

In that future, engineers spend less time writing infrastructure, chasing regressions, and reconciling conflicting specifications—and more time solving the architectural problems that define the next generation of computing. That’s the future Shelly Henry believes is possible. And it’s the future MooresLabAI is building today.

Here is the calendly link for booking demos during DAC: https://calendly.com/mooreslab/book-mooreslabai-demo-dac2026

Also Read:

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

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We Need to Turn Specs into Oracles for Agentic Verification