Partcl

Backed byKhosla Ventures
Total raised$5.0M
StagePre-seed
HQSan Francisco, United States
IndustriesAI/MLEDASemiconductorHardwareSaaS

About Partcl

Partcl is developing the next generation of chip design automation tools. The company uses GPUs and AI in its design tools, claiming that its solutions are 1000x faster than legacy options. Partcl notes that design feedback can go from weeks to minutes, enabling faster iteration. Its mission includes building the foundation of artificial intelligence.

Location

Funding History

EquityApr 2026

$5M

raised

Partcl, a startup building GPU-native chip design systems, raised $5M led by Khosla Ventures with participation from 468 Capital, Liquid 2 Ventures, Transpose Platform, Pioneer Fund, Tekedia Capital, Founders Capital, Paul Graham, and Y Combinator.

Khosla VenturesY CombinatorTranspose PlatformTekedia CapitalPioneer FundLiquid 2 Ventures+2

Frequently asked questions

Companies similar to Partcl

Ambi

Ambi is building the interface for the AI era - software and hardware that move at the speed of thought. We're creating a living memory system that turns conversations, meetings, and daily signals into one connected knowledge base, across phone, watch, and desktop. Backed and early-stage, headquartered in San Francisco with hybrid flexibility - this is a ground-floor seat on category-defining hardware.

AI/ML11-50
Arbio

Arbio, headquartered in Berlin, Germany, is building an AI-native property management platform for short-term rentals across Europe. It currently manages over 1,000 apartments and operates real properties in Berlin, Hamburg, Vienna, and Leipzig, with plans to expand to additional European cities. The company has raised a $36 million Series A funding and maintains an engineering team of five engineers. Arbio’s platform uses AI to observe, decide, and act on real-world property operations with humans in the loop, enabling AI-assisted management of short-term rental properties across Europe.

AI/ML51-200
Arga Labs

Arga Labs provides isolated sandbox environments equipped with API twins of third-party services, enabling developers and organizations to safely test and train AI agents without risking their production systems. By offering a controlled testing ground that mirrors real-world APIs, the company allows teams to experiment with AI implementations, validate workflows, and refine agent behavior in a risk-free setting. This approach addresses a critical need in AI development, where testing in live environments can introduce costly errors or security vulnerabilities.

AI/ML1-10