Agentrys, a semiconductor design startup, has raised $24.5 million in total funding to advance its AI platform for chip design automation. The investment will fuel team growth and expand commercial deployments.
TL;DR
- Agentrys raises $24.5 million to develop AI-driven chip design automation tools.
- The funding will support team expansion and commercial deployments in chip verification and physical design.
- Agentrys' platform aims to optimize entire engineering workflows using autonomous AI agents.
What happened
Agentrys has secured $24.5 million in total funding, comprising a $19.1 million seed round led by Etna Labs and a $5.4 million pre-seed round backed by MediaTek. The startup, founded by Mark Ren, a former NVIDIA and IBM researcher, focuses on addressing bottlenecks in chip development.
The funding will be used to grow the engineering team, build advanced agent-based software, and expand commercial deployments. Agentrys' platform integrates with existing EDA software and enterprise tools, offering a flexible, AI-driven engineering environment.
The technology has already demonstrated its capabilities in practical tests, executing an autonomous multi-agent workflow for a 32-bit CPU design and achieving over 90 percent accuracy on NVIDIA's public CVDP verification benchmark.
Why it matters
Agentrys' approach, called Agentic Design Automation, uses autonomous AI agents to manage and refine entire engineering workflows, learning from past design activities and performance data. This differs from traditional EDA tools that focus on isolated tasks.
The investment highlights the growing interest in AI-driven solutions for chip design, as modern chip architectures become increasingly complex and development costs rise. Intelligent automation is becoming a priority for both legacy semiconductor companies and startups.
Agentrys' technology has the potential to significantly reduce development costs and address the shortage of specialized engineering talent. The platform's ability to capture and utilize institutional knowledge could revolutionize the chip design process.
Key facts
- Agentrys raises $24.5 million in total funding, including a $19.1 million seed round led by Etna Labs and a $5.4 million pre-seed round backed by MediaTek.
- The startup was founded by Mark Ren, an industry veteran with research experience at NVIDIA and IBM.
- Agentrys' platform successfully executed an autonomous multi-agent workflow for a 32-bit CPU design without human intervention.
- The technology achieved over 90 percent accuracy on NVIDIA's public CVDP verification benchmark.
- Agentrys has secured partnerships with major fabless chip companies, a global foundry, and several early-stage technology startups.
- The platform integrates with existing EDA software, internal enterprise tools, and underlying computing infrastructure.
- Agentrys aims to build comprehensive engineering systems capable of continuous learning across the entire chip design lifecycle.
- The funding will support team growth and expand commercial deployments in chip verification and physical design tasks.
Context
The semiconductor industry is facing increasing pressures due to the growing complexity of modern chip architectures. This complexity drives up development costs and highlights a persistent shortage of highly specialized engineering talent.
AI-driven solutions like Agentrys' platform offer a promising approach to address these challenges. By automating and optimizing engineering workflows, these solutions can reduce costs, improve efficiency, and capture institutional knowledge.
The surge in interest and investment in AI for chip design underscores the industry's shift towards intelligent automation. Both legacy semiconductor giants and agile startups are prioritizing AI-driven tools to stay competitive in a rapidly evolving market.