Samsung Invests in AI Chip Startup Normal Computing

According to recent reports, artificial intelligence startup Normal Computing has secured $50 million in a new funding round, underscoring growing investor interest in AI-driven semiconductor design technologies. As reported by Korean media outlet The Guru, the round was led exclusively by Samsung Catalyst Fund (SCF), managed by Samsung Electronics’ Semiconductor Strategy Innovation Center (SSIC), although the exact investment amount was not disclosed.

Founded in 2022 by a team of engineers with experience at leading technology companies including Google, NVIDIA, Meta, and Apple, Normal Computing focuses on developing AI solutions tailored for the semiconductor industry. The company is actively building proprietary software and intellectual property (IP) related to AI-powered chip design, and has already established partnerships with several semiconductor firms.

At the core of its offering is “Normal EDA,” an AI-based electronic design automation platform that integrates large language models (LLMs) with auto-formalization technology. This approach enables the conversion of natural language into machine-verifiable formal representations, helping engineers address complex chip design challenges more efficiently. CEO Paris Svahi stated that the platform can more than double the speed of bringing custom chips to market, with a long-term goal of improving semiconductor design productivity by up to 1,000 times.

The funding round also attracted participation from several prominent venture capital firms, including early investor Galvanize, Brevan Howard Macro Venture Fund, Canada-based Arctern Ventures, and Celesta Capital, which specializes in semiconductor, enterprise software, and deep technology investments.

As demand for advanced chips continues to rise and time-to-market pressures intensify, the semiconductor industry is increasingly adopting AI technologies to streamline design processes. Samsung Electronics’ investment in Normal Computing highlights its strategic focus on AI-enabled chip design, signaling continued momentum in this rapidly evolving sector.