Hyperscaler CoreWeave is acquiring Monolith AI, which offers solutoins that apply artificial intelligence and machine learning to solve complex physics and engineering challenges. The agreement will combine Monolith’s simulation and machine learning capabilities with CoreWeave’s AI cloud, enabling users to "shorten R&D cycles, accelerate product development and design, and unlock new levels of competitive advantage through AI-driven innovation," according to the company.
“Every leader we meet across the industrial and manufacturing sectors knows AI can transform their business. What they need are the right tools to use the technology to solve intractable physics and engineering problems. Those challenges have historically slowed industrial innovation, and Monolith has closed that gap,” said Brian Venturo, Co-founder and Chief Strategy Officer at CoreWeave. “Together we will help these enterprises better harness AI to accelerate breakthroughs and bring better products to market faster.”
“Monolith was founded to put AI directly into the hands of engineers, enabling them to create breakthrough technologies. Joining CoreWeave will allow us to scale that mission dramatically,” said Dr. Richard Ahlfeld, Founder and CEO of Monolith. “Together we will bring powerful tools and domain expertise to thousands more builders across industries who are eager to use AI but lack the infrastructure and know-how.”
Monolith's solutions apply AI and machine learning to physics and engineering problems. Its tools include anomaly detection, test plan optimization, and next test recommendation, which help engineers make faster, more reliable decisions without requiring in-house AI or coding expertise. By embedding machine learning directly into engineering workflows, Monolith reduces physical testing that has historically slowed progress, while improving quality, and accelerating innovation, the company says.
Terms of the transaction were not disclosed. The closing of the acquisition is subject to customary closing conditions.
Sources: Press materials received from the company and additional information gleaned from the company’s website.

Brian Albright is the editorial director of Digital Engineering.
Contact him at [email protected].

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