SPREAD AI

SPREAD AI is tackling one of the most stubborn problems in modern manufacturing: the fragmentation of product data scattered across legacy systems, ERPs, PLMs, and unstructured documentation. Rather than patching over the chaos with yet another data layer, the company has built a Product Twins platform that aggregates, structures, and makes that information queryable across the entire industrial lifecycle. The result is a living digital twin of the product — not just its geometry, but its history, its compliance records, its engineering decisions — all accessible in a single, coherent environment. For manufacturers in automotive, aerospace, and heavy industry, the practical impact is substantial. Faster decisions, lower quality costs, and accelerated product engineering all follow from having reliable, interconnected data at every stage of development and production. These are sectors where a single documentation error can cascade into costly recalls or regulatory failures, and where institutional knowledge has historically lived in silos or in people's heads. SPREAD AI's infrastructure changes that equation. The platform is designed as operational AI — not a dashboard bolted onto an existing process, but a foundational layer that becomes the connective tissue of the manufacturing organization. That distinction matters. Many industrial AI tools promise insight but stop short of genuine integration with the systems engineers and quality teams actually use. SPREAD AI's approach is to go deeper: ingest the messy reality of legacy data, make it coherent, and expose it through interfaces that fit into how product teams already work. The company's Series B round of $30 million, led by DTCP Growth, signals a strong vote of confidence in this infrastructure-first thesis. The investor lineup — which includes Salesforce, HV Capital, OTB Ventures, and IQT — reflects both the commercial and strategic dimensions of what SPREAD AI is building. IQT's involvement in particular points to the national security relevance of robust, sovereign industrial data infrastructure, especially in European defense-adjacent manufacturing sectors. With this round, SPREAD AI is positioned to consolidate its role as the backbone AI layer for strategic European manufacturing. The opportunity is large: the fragmentation problem it solves is endemic across the industrial base, and no dominant solution has yet emerged at scale. For manufacturers looking to compete on speed and quality in an increasingly demanding global market, having a product data infrastructure that actually works is no longer optional — it's the baseline.