CoreWeave has agreed to acquire Monolith AI, a London-based company that builds artificial intelligence tools to help engineers design and test products more efficiently. The company said the deal will allow it to “expand AI cloud platform into industrial innovation,” connecting its computing infrastructure with industrial design, manufacturing and engineering applications.
Monolith’s software helps engineers interpret test data, identify potential problems early in the design process, and reduce the need for expensive physical testing. The system learns from both simulated and real-world data to predict how products will perform under different conditions. By integrating Monolith’s tools into its AI infrastructure, CoreWeave plans to offer industrial clients high-performance computing for large-scale simulations and modeling.
CoreWeave, which provides cloud-based computing for artificial intelligence, has been growing rapidly as demand for AI infrastructure accelerates. Earlier this year, it acquired Weights & Biases, a popular platform for managing AI experiments and workflows. That deal gave CoreWeave a stronger presence in the AI development process. Adding Monolith extends its capabilities into product engineering and industrial research, where AI is becoming a key tool for faster innovation and cost control.
CoreWeave Expands Its Footprint
To support its expansion, CoreWeave has made several large-scale investments. In May, the company secured a $7.5 billion debt facility led by Blackstone and Magnetar to build new data centers and increase compute capacity. In July, CoreWeave announced a $9 billion acquisition of Core Scientific, a data center operator that focuses on high-performance computing. The purchase gives CoreWeave greater control over its infrastructure, including energy and real estate, which helps reduce costs and improve reliability.
In September, CoreWeave signed a $14 billion multiyear deal with Meta to supply cloud capacity through 2031. The agreement highlights the increasing demand for specialized AI infrastructure as companies scale up data-intensive and generative AI workloads.
AI Adoption in Industrial Automation
Artificial intelligence is increasingly being used to modernize industrial production, combining data, robotics, and automation to improve performance and reduce costs. Manufacturers are using AI to predict when equipment needs maintenance, identify inefficiencies in production lines, and design more energy-efficient systems. These applications allow businesses to operate with greater precision and fewer disruptions while making better use of data collected from sensors and connected machines.
The acquisition also reflects a broader movement toward using AI in traditional industries such as manufacturing, energy and logistics. Companies are adopting AI systems to improve efficiency, reduce downtime and create digital twins that mirror real-world operations.
Siemens recently introduced new AI-based robotics software that improves the precision and autonomy of automated guided vehicles and mobile robots in factory settings. It also launched Simatic Robot Pick AI Pro, which allows robots to use vision systems to identify and pick up unknown items in warehouses. Similarly, KUKA partnered with Dassault Systèmes to combine robotics and digital design tools for manufacturing automation.
For CoreWeave, acquiring Monolith opens the door to these expanding markets. The company’s infrastructure already supports large AI workloads for technology clients, and Monolith’s engineering focus adds a new dimension, applying AI to physical systems where testing and reliability are critical. By linking its cloud resources with AI tools for design and manufacturing, CoreWeave is positioning itself to play a larger role in how industries integrate AI into everyday operations.
Source: https://www.pymnts.com/
