Industrial AI company SPREAD AI has secured $30 million in Series B funding as it accelerates its mission to transform how manufacturers use data across the product lifecycle. The investment marks a significant step in the company’s global expansion strategy and reinforces its role in shaping the next generation of data driven industrial operations.
Strong Investor Participation
The funding round brought together a mix of new and existing investors, including DTCP Growth, IQT, OTB Ventures, Salesforce, and Thesiger Capital, along with angel investor Christian Schulz. Existing backers such as HV Capital and Nauta Capital also reinforced their support.
The diverse investor base reflects strong confidence in SPREAD AI’s technology and its potential to reshape how industrial companies manage and leverage data.
Bridging Gaps in Industrial Data
Modern manufacturing environments generate vast amounts of data across design, production, and operations. However, much of this information remains fragmented across different systems, making it difficult for teams to access insights and make informed decisions.
SPREAD AI addresses this challenge by integrating and contextualising product related data across the entire lifecycle. Its platform connects both structured and unstructured data, enabling organisations to gain a unified view of their operations.
This approach helps bridge the gap between engineering, customer expectations, and operational execution, an issue that has long limited efficiency in industrial settings.
Introducing Product Twins
A key feature of SPREAD AI’s platform is the creation of “Product Twins”. These digital representations allow engineering and operations teams to understand complex dependencies within products and systems.
By visualising how different components interact, teams can assess trade offs, identify potential issues, and make faster, more informed decisions. This capability is particularly valuable in industries where precision and reliability are critical.
The platform’s ability to provide actionable insights in real time enables organisations to improve performance while reducing risks and costs.
Strategic Collaboration with Salesforce
The funding round also strengthens SPREAD AI’s collaboration with Salesforce. By combining SPREAD’s product data capabilities with Salesforce’s Customer 360 platform, the partnership aims to deliver a more comprehensive view of product and customer data.
This integration allows companies to align engineering decisions with customer needs, creating a more connected and responsive operational model. It also enhances the ability of sales and service teams to access relevant information, improving overall efficiency and customer experience.
Impact Across Key Industries
SPREAD AI is already working with global manufacturers in sectors such as automotive, aerospace and defence, and industrial equipment. These industries often deal with highly complex systems and large volumes of data, making them ideal candidates for advanced data solutions.
The company reports that its platform has contributed to faster development cycles, improved troubleshooting processes, and significant cost savings for its clients. By enabling better visibility and coordination, SPREAD AI helps organisations optimise both performance and resource utilisation.
Supporting the Future of Industrial AI
Co founders Robert Göbel and Philipp Noll emphasise that the company’s focus is on building an AI native foundation that leverages existing engineering data. This approach ensures that organisations can adopt advanced capabilities without overhauling their entire infrastructure.
The investment comes at a time when European policymakers are placing increasing importance on AI in strategic industries. Initiatives aimed at strengthening regional leadership in industrial AI are creating opportunities for companies like SPREAD AI to play a central role.
Scaling for Global Reach
With fresh funding, SPREAD AI plans to expand internationally, enhance its platform capabilities, and continue supporting manufacturers in adopting data driven operations. The company is positioning itself as a key enabler of industrial transformation, helping organisations move from fragmented data environments to integrated, intelligent systems.
As industries become more complex and data intensive, the ability to turn information into actionable insights will be critical. SPREAD AI’s approach to engineering intelligence is designed to meet this need, offering a scalable solution for the future of manufacturing.
