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Silicon in weeks, not years.
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Our multi-agent platform automates the full silicon lifecycle.



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Chip design today is slow, expensive, and talent-constrained — a single ASIC can take years, cost tens of millions, and require scarce experts.
At the same time, demand for specialized AI chips is surging, with the edge AI market projected to hit $77B by 2030.
Every new generation of LLMs, vision models, robotics stacks, and multimodal systems demands new hardware. Slow chip design cycles are now the limiting factor for AI progress.
Chip design today is slow, expensive, and talent-constrained — a single ASIC can take years, cost tens of millions, and require scarce experts.
At the same time, demand for specialized AI chips is surging, with the edge AI market projected to hit $77B by 2030.
Every new generation of LLMs, vision models, robotics stacks, and multimodal systems demands new hardware. Slow chip design cycles are now the limiting factor for AI progress.
An AI-native, multi-agent platform that accelerates chip design from RTL and verification to optimization and physical layout.
50x
Silicon in weeks, not years.
Our Results →
200x
explore orders of magnitude more design points.
Our Results →
10x
lower R&D costs and human effort.
Our Results →
World-leading model
Chip Design LLM Leaderboard
We benchmarked our model against leading LLMs on RTL generation tasks. Our multimodal AI agent consistently outperforms state-of-the-art baselines across syntax correctness, functional accuracy, and Verilog benchmarks.
*Hover over data points to view details.
Our latest news
Blog & News
Our latest news
Blog & News
Jinwei Tang named ICLAD Fellow for GenChipUI, a multi-agent framework for trustworthy LLM-aided chip design.
Our multi-agent platform automates the full silicon lifecycle from spec to tape-out.
Partnering with Arm to accelerate AI-driven chip design and IP integration.
Our hierarchical Verilog generation framework won the ICLAD Best Paper Award.