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Our Engineering Intelligence Graph represents how a system works. Together with our analysis hub, it connects all product data and puts it into logical context. This makes it easy for engineers across all domains to consider critical dependencies in their flow of work in our low-code collaboration environment.
Create a standardized interpretation of your data by integrating your different data sources, including existing systems, structured, or unstructured data.
Create logical connections by mapping the data to SPREAD’s normalized information model. This helps you quickly establish a comprehensive understanding of the data across domains.
Use preconfigured applications or build custom ones that give you the control and flexibility you need over the product information required for your specific use case - with our low-code collaboration environment.
With data in context, you can simply select your app and apply the insights where you need them – from R&D, to Integration, Production, and Aftermarket.
SPREAD’s AI agents use structured data and contextual understanding to compare and optimize concepts, assisting engineers in refining and validating their work, improving efficiency, safety, and technological progress.
Understand the logical dependencies of your systems
Build a digital representation of your mechatronic systems including it’s components, relations and specifications. This helps engineers and experts in all stages of the product lifecycle to better understand how functions work.
Find faulty E/E, software & other components faster
With our error diagnostic application, engineers and service technicians reduce the time needed for troubleshooting malfunctions in mechatronic systems during R&D, Production, and Aftermarket.
Speed up assembly planning with algorithm-based suggestions
SPREAD combines 3D and product data to help you plan assembly steps faster and also optimize existing assembly processes, making them more work- and time-efficient.
SPREAD’s Agentic EI is a specialized network of AI agents designed specifically for engineers. It isa built on three core layers: Rapid Date Ingestion: Connectors integrate data from diverse engineering tools, creating a unified environment where AI agents access structured and unstructured data. Product Twin (PT): Powered by a robust Knowledge Graph, the PT is a digital replica of each product that organizes and contextualizes data, offering a single source of truth. It enables AI agents to analyze product relationships, anticipate challenges, and deliver context-aware insights. Action Cloud: This processing hub is where SPREAD’s AI agents operate, automating tasks like compliance checks, requirements optimization, and error management. Together, these layers enable engineers to focus on innovation while Agentic EI manages the data-intensive tasks.
What is an Engineering Intelligence Graph?
The Engineering Intelligence Graph (EI Graph) is the core technology behind SPREAD, mapping and linking various data points and relationships within product data to provide a comprehensive and actionable overview. If you like to learn more about it, please watch this video: https://www.spread.ai/resources/knowledge-hub/how-we-use-a-graphql-schema-as-a-contract-to-efficiently-build-applications
Can SPREAD be integrated with existing systems?
Yes, SPREAD can be seamlessly integrated with existing systems. It is designed to complement and enhance the tools you already use. Through smart connectors, APIs, and data mapping, SPREAD ensures a smooth integration process. This allows teams to leverage their current data infrastructure while gaining the added benefits of SPREAD’s advanced data contextualization, analysis, and collaborative capabilities, making it easier to access, manage, and act on complex product data.
What types of data does SPREAD connect and analyze?
SPREAD connects and analyzes various types of product data across the entire lifecycle. This includes design data from CAD systems, engineering specifications, production data, testing results, maintenance logs, and even feedback from real-world usage. By integrating structured and unstructured data from different sources, SPREAD creates a comprehensive, interconnected view that helps engineers understand complex relationships and dependencies. This unified approach enables teams to make data-driven decisions, troubleshoot issues more effectively, and optimize product development and support processes.
How does SPREAD differ from or relate to PLM software?
SPREAD complements product lifecycle management (PLM) software by providing advanced data analytics, real-time insights, and a low-code environment to build custom applications, enhancing PLM functionalities as "intelligent layer".
What are some of SPREAD’s key features and unique selling points (USPs)?
SPREAD’s key features include its Engineering Intelligence Graph for unified data connectivity, a low-code/no-code platform for custom app creation, and seamless integration with existing systems. A unique selling point is its use of AI agents, which assist with data analysis, validation, and workflow automation, providing real-time insights and boosting efficiency. These features help teams reduce development time, enhance decision-making, and improve product quality across the product lifecycle.
What security options does SPREAD offer?
SPREAD is TISAX certified (Scope ID: S1WZ1N) and efforts to be certified against ISO/IEC 27001:2022 are ongoing with a target certification timeline of Q3 2024.
Who are some of SPREAD’s notable customers?
Notable customers include Mercedes, BMW, Porsche, VW, as well as John Deere and Infineon.
Is SPREAD a mature supplier for enterprise customers?
SPREAD is a mature supplier trusted by enterprise customers across industries. With a robust platform that supports seamless integration, advanced data analysis, and scalable solutions, SPREAD is designed to meet the complex needs of large organizations. It has proven its reliability with successful deployments in sectors like automotive and aerospace, where high standards for data security, performance, and compliance are essential. This track record ensures that enterprise customers can rely on SPREAD for consistent, high-quality support and innovation.
How can I request a demo of SPREAD?
You can request a demo by filling out the contact form on the SPREAD website.
What kind of support does SPREAD offer to its users?
SPREAD offers comprehensive support to its users, including seamless onboarding, training, and continuous assistance. Users benefit from detailed documentation, training programs, and expert-led sessions to maximize platform use. SPREAD’s customer support team is available to address questions and provide solutions, ensuring smooth integration and effective use of its tools. Additionally, SPREAD offers guidance on customizing the platform to fit specific needs, enabling teams to leverage its capabilities fully and achieve their goals efficiently.
Can SPREAD be customized for specific business needs?
SPREAD offers customization options to meet specific business needs and requirements.
Which SPREAD deployment option is right for my business?
Most SPREAD customers are benefiting from the cost-effectiveness provided by SPREAD's SaaS deployment option ("SPREAD Cloud"). However, organizations with more stringent data governance policies or those required to comply with external standards and regulations might need the additional data isolation provided by Managed Deployments ("Client Cloud" or custom solution). Contact our Sales to help you with understanding the value of each deployment model.