connected data layer. Its core technology creates a “product twin,” a graph-based representation that models how mechanical, electrical, and software components interact within a product. This allows engineering teams to understand dependencies, assess the impact of changes, and make informed decisions based on a complete view of product behavior.

SPREAD AI integrates with existing enterprise systems rather than replacing them, acting as a layer that connects data sources and enables real-time analysis and workflow automation. It also provides customizable applications and low-code tools that allow teams to build domain-specific solutions tailored to their engineering needs. The platform incorporates artificial intelligence and automation capabilities, including AI agents that assist with tasks such as data mapping, validation, troubleshooting, and requirements analysis. These tools help reduce manual work and enable faster resolution of engineering issues across development, production, and aftersales processes.