Listen to this articleCognichip secured a $60 million Series A, led by Seligman Ventures, bringing total funding to $93 million. The round strengthens the company’s push to transform semiconductor design through its physics informed ACI® platform, backed by new board members Umesh Padval and Intel CEO Lip-Bu Tan.
Cognichip announced an oversubscribed $60 million Series A funding round, led by Seligman Ventures with participation from SBI Investment and additional semiconductor focused investors. All prior seed investors (Mayfield, Lux Capital, FPV, and Candou Ventures) participated above their pro-rata allocations. This brings the company’s total capital raised to $93 million since its founding in 2024. The round underscores robust investor conviction in Cognichip’s position as the pioneer of ACI® (Artificial Chip Intelligence), a physics informed foundation model purpose built for semiconductor design.
The funding coincides with two high profile board appointments that signal deep industry validation. Umesh Padval, Managing Partner at Seligman Ventures and a veteran semiconductor CEO with board experience at companies including Integrated Device Technology, Mellanox Technologies (acquired by NVIDIA), Monolithic Power Systems, and P.A. Semi (acquired by Apple), joins the board. Lip-Bu Tan, CEO of Intel and a legendary figure who previously transformed Cadence Design Systems while serving on multiple semiconductor boards, also joins. Tan’s participation in the round and board seat reunites him with Cognichip Founder and CEO Faraj Aalaei, with whom he collaborated on two successful IPOs at Aquantia and Centillium Communications over three decades. These additions bring unparalleled operational, strategic, and ecosystem expertise at the intersection of chip design, manufacturing, and AI infrastructure.
What is Cognichip’s technology?
Cognichip’s core technology, ACI®, addresses the fundamental bottleneck constraining AI progress: the slow, serial, and extraordinarily expensive process of designing the chips that power AI models. Traditional electronic design automation (EDA) tools have relied on incremental optimization for decades, resulting in design cycles that stretch into years and cost hundreds of millions of dollars per chip. ACI® replaces this with a full stack, physics informed AI system that fuses logic and physics based reasoning, curated proprietary datasets incorporating complex design, verification, and manufacturing constraints, and unified planning/orchestration capabilities. Unlike agentic wrappers around general purpose large language models, ACI® integrates models, datasets, and infrastructure end to end to enable concurrent, adaptive, and highly automated workflows. The result is a claimed 50% reduction in design timelines, up to 75% lower development costs, and optimized power, performance, and area (PPA) metrics while maintaining full manufacturability standards.
The capital will accelerate commercialization and scaling of this platform. Over the past two years, Cognichip has assembled a team blending experienced chip architects from leading firms (Amazon, Google, Apple, Synopsys, KLA) with frontier AI researchers, including World Olympiad medalists in mathematics and physics. This domain depth has enabled the creation of one of the industry’s richest proprietary datasets for semiconductor AI. The company has already secured high quality enterprise engagements with more than 30 semiconductor firms, including many of the global top 20, spanning digital, analog, mixed signal, and foundry workflows. Early production deployments have reportedly delivered measurable reductions in design cycles and costs, validating the technology’s readiness for real world deployment.
Recommended: An Interview With Carolyn Wescott, Founder And President Of Plated Foodservice
From a market perspective, the round arrives at a pivotal moment. Explosive demand for AI accelerators has exposed the limitations of legacy design infrastructure, creating a circular constraint where AI software advances faster than the hardware needed to run it. Cognichip’s approach, reimagining chip design as an AI native, parallel process, positions the company to capture a transformative share of the multi billion dollar EDA and semiconductor tooling market. By democratizing access to advanced silicon (making it faster, cheaper, and available to a broader innovator base), ACI® could accelerate innovation across hyperscalers, automotive, edge AI, and beyond. SBI Investment’s participation, alongside its portfolio in companies like Preferred Networks, Tenstorrent, Majestic Labs, and EdgeCortix, further highlights the strategic alignment with next generation compute hardware.
Investor commentary reinforces the strategic thesis. Lip-Bu Tan emphasized that “an AI framework for innovation and efficiency will unlock massive global opportunity,” noting Cognichip’s rare combination of deep domain expertise, advanced AI research, and end to end integration. Umesh Padval highlighted the shift from serial to parallel design processes enabled by physics informed models and production ready tooling, calling out Aalaei’s track record as a third time founder and the team’s complementary strengths. Yoshitaka Kitao, CEO of SBI Holdings, projected that Cognichip’s ACI® could fundamentally transform semiconductor economics by slashing costs and timelines.
The Series A marks a decisive acceleration for Cognichip. With nearly $100 million in committed capital, elite board leadership, proven early traction, and a differentiated full stack technology that directly attacks the AI hardware productivity gap, the company is positioned to lead the industry’s transition to AI first chip design. This round not only de-risks execution but establishes Cognichip as a generational player capable of reshaping how the chips powering the AI era are conceived, built, and scaled.
Please email us your feedback and news tips at hello(at)superbcrew.com
Activate Social Media:
