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Empowering the future of semiconductors design and verification with AI Agents. Book a demo now! https://xitter.twitterapi.xyz/t.co/S8E5g2i6G3

ChipAgents.ai
Joined July 2024
🏆 ChipAgents made The Information’s 50 Most Promising Startups of 2026! We started with a big question: What if AI could make chip design cycles 10× faster? From our first demo to 200+ deployments worldwide, it's incredible to see how far that idea has come. We're grateful to our incredible team and to the customers and partners who believed in us from the start. Thank you to @theinformation for this recognition!
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Thanks @theinformation for highlighting Build-A-Chip-Bench. In 2024, we started exploring how AI could help design chips, from digital to analog. That work kept bringing us back to one question: can AI carry design intent all the way through implementation while meeting both functional and physical requirements? In collaboration with @nvidia, we created Build-A-Chip-Bench to put that question to the test. In our initial evaluation, the highest frontier model score was only 16.6%. There’s a lot of work ahead. But these failures are also encouraging: they help us clearly see the next research questions. We’d welcome AI research and engineering teams to explore these questions together and bring chip superintelligence to reality.
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Build-A-Chip Bench has joined @FireworksAI_HQ's Specialized Intelligence Index (SSI) 💫 Developed by ChipAgents with contributions from @NVIDIA, @ADI @Mediatek and other partners, Build-A-Chip-Bench evaluates AI agents across the entire digital design flow: from workload specification through architecture, RTL, verification, and physical implementation to layout. We’re excited to bring this perspective to #SII, helping semiconductor teams compare models on measurable engineering outcomes across the specification-to-GDS workflow. Learn more: fireworks.ai/specialized-int…
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Introducing IC-star, the chip neural engine powering autonomous digital and analog design. “It is not enough to make an individual model stronger or add more agents to a workflow. The #AI needs to understand the organization’s design knowledge, coordinate the right models and tools, evaluate real engineering results and account for the physical consequences of each decision. We built ChipAgents around that entire system so engineers can focus on the design objective while AI handles more of the execution underneath.” - @WilliamWangNLP, Founder & CEO of ChipAgents Read the announcement via @Forbes: forbes.com/sites/karlfreund/…
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Rambus is adopting ChipAgents companywide and joining us as a strategic investor to advance AI-driven chip design. Together, we’ll work to speed chip design and IP integration across customers’ preferred design environments, advancing automation from specification to verified GDS. Read more: investor.rambus.com/press-re…
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We’re a 2026 @Inc Power Partner Award winner! 🎉 Our customers are reducing chip design cycles by half and turning their boldest ideas to silicon. That’s the power of AI + human ingenuity. Big thanks to everyone building alongside us!
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Thanks to the NVIDIA team for collaborating on Build-A-Chip-Bench. Now we can put AI to the test across the entire design flow and see what still needs work.
Replying to @NVIDIAAIInfra
The ecosystem goes even further: Advantest, @ADI_News, @AlphaDesignAI, @COMSOL_Inc, @FANUCAmerica, @HonHai_Foxconn, @imec_int, Luminary, @OMRON, @Teradyneinc, and Voltai are also advancing AI-defined fabs—from chip design and simulation to inspection, testing, and automation. 👏
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Introducing Build-A-Chip-Bench, a new end-to-end benchmark for the complete chip design flow, developed in collaboration with @NVIDIA. Generating correct RTL is one milestone. Delivering a physically implementable design is a much more challenging test. The initial results show how far #AI still have to go. Anthropic’s Fable 5.1 led at 16.6%, while other frontier models scored below 10%. Build-A-Chip-Bench gives the industry a rigorous way to measure progress from design intent through physical implementation. Learn more: chipagents.ai/newsroom/chipa…
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Full-flow autonomy across digital and analog is here. On October 29, ChipAgents unveils IC-star, the new chip neural engine: ready to take on real-world chip design workflows, from spec to silicon. Join the launch: event.on24.com/wcc/r/5507421…
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From spec to silicon. Across digital and analog. Meet IC-star on October 29, a new chip neural engine. Four innovations. Full-flow autonomy. Get your first look: event.on24.com/wcc/r/5507421…
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Timing closure in minutes? See how physics-aware models bring timing intelligence earlier into your design flow, cut up to 90% of the iterations and converge faster. Save your seat: register.gotowebinar.com/reg…
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AI is driving greater #processor customization. The competitive edge is how fast you can get the design right. With ChipAgents, @Andes_Tech has dramatically compressed critical design and verification workflows: • 8.5 weeks → 6 weeks for processor customization • 2–3 months → 3 weeks for BIU verification • 1–2 weeks → as little as 1 day for verification stimulus generation Learn more about how we can help streamline custom ASIC development: businesswire.com/news/home/2…
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The autonomous #semiconductor design era is here. Seeing the ChipAgents logo light up @Nasdaq is a powerful reminder of how far we’ve come and how much opportunity lies ahead. Today, ChipAgents is deployed across more than 200 semiconductor companies. This momentum strengthens our commitment to helping more teams tackle some of the industry’s hardest challenges and accelerate the journey from design intent to silicon with #AI. We’re just getting started! Thank you to our customers, partners, investors, and incredible team for believing in this vision and helping make it real.
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Ready to move beyond point accelerations and experience full-flow autonomous #semiconductor design in action? Join us on September 11 for ChipAgents Essentials Training, a hands-on workshop at our Santa Clara office designed for IC design and verification engineers ready to put agentic #AI to work. Register now: luma.com/of917d2v
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Ten years ago, ChipAgents Founder and CEO @WilliamWangNLP presented his thesis on scalable inference and locally grounded statistical relational learning for formal theorem proving. Today, that foundational work continues at ChipAgents, advancing how #AI can enable autonomous formal verification workflows. Our latest SemiWiki article explores: • Why formal verification remains difficult to scale • How design intent, assumptions, environment models, proof quality, and sign-off evidence can be connected into a complete workflow • What meaningful, trustworthy formal sign-off truly requires Read more: semiwiki.com/eda/chipagents-…
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Last week marked an important milestone for ChipAgents: we expanded our Series A financing with an additional $60 million, following 6× ARR growth in the first half of 2026 and deployments across more than 120 #semiconductor companies. “We’re enabling the industry to move beyond AI assistants toward autonomous agents that can execute meaningful engineering work. Our customer growth shows that semiconductor companies are ready for this shift, and this financing allows us to bring that capability to even more engineering teams.” — @WilliamWangNLP, Founder and CEO of ChipAgents The age of chip superintelligence is here. And we are only getting started.
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Today, we’re proud to announce that ChipAgents has raised an additional $60 million, bringing total funding to $134 million to advance our #AgenticAI platform and bring autonomous chip design to more engineering teams around the world. We are grateful to @BCapitalGroup, @BessemerVP, @MicronTech, @MediaTek, @ericsson, @ScOpVC and our other investors, as well as the customers, partners, and team members who continue to support our mission to innovate AI-native design reference flows. Read the Reuters exclusive: reuters.com/business/nvidia-…
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We’re excited to expand our collaboration with @NVIDIA to advance Renoir, our domain-specialized agentic #LLM. • Co-optimized with ChipAgents’ #agentic system for better production-scale performance • Deployable on-premises to protect sensitive design data and IP • Matching Fable performance at as little as 22% of the cost Read how Renoir and our partnership with NVIDIA are redefining what’s possible in autonomous chip design: chipagents.ai/blogs/nvidia-c…
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