Industrial Intelligence is Carrying Factories into the Future!

SAN FRANCISCO, November 7, 2025 - IndustrialMind.ai, aiming to revolutionize the industry, has announced the completion of its $1.2 million pre-seed funding round, founded by former Tesla engineering teams. This investment will be utilized to ensure that every factory reaches its optimal level. Investors include Antler, TSVC, Plug and Play, and an angel investor.

IndustrialMind.ai has developed the “AI Engineer,” which has capabilities such as drawing to process automation, real-time monitoring, and root cause analysis. This system aims to enhance efficiency, shorten product transition times, and boost productivity. Despite the widespread adoption of automation and digital tools in factories, converting data into timely operational decisions remains a challenge. This issue becomes even more pronounced during periods of rapid growth and complex new product launches.

The founding team of IndustrialMind.ai aims to rebuild the decision-making core of modern manufacturing processes by transferring the AI production platform they developed to solve critical bottlenecks at Tesla's Gigafactories to the broader industry. The system has the ability to understand drawings, interpret process data, and suggest concrete adjustments.

CEO Steven Gao states, "Engineers already have enough tools. They need a reliable AI Engineer that acts as a true teammate. The ultimate engineer on the factory floor combines production wisdom with AI capabilities, providing verifiable and actionable changes."

An angel investor involved in this funding round said, "This team possesses a rare knowledge in both high-volume production and cutting-edge artificial intelligence." IndustrialMind.ai is leveraging this experience to solve real problems in the industry across a wider sector.

AI Engineer encompasses processes from printing to performance. Thanks to its ability to understand drawings, it automatically generates material lists, process flows, and cost estimates by extracting features. During the production phase, it monitors processes in real-time to detect and predict anomalies. When an issue arises, the multi-agent root cause engine combines information and data to offer solutions and automatically generate reports, closing the process much faster than manual methods.

IndustrialMind.ai is already implementing AI Engineer with industry leaders such as Siemens, tesa, and Andritz, integrating the product directly into each customer's workflows to deliver measurable value within weeks.