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Our Engineering Intelligence Data 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 (video is in German).
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.
Ensure fact-based steering in every engineering project
Live dashboards for all management levels based on real, reliable product data create a data-based truth that enables your team to make effective decisions.
Engineering Intelligence (EI) refers to the ability to connect, analyze, and derive actionable insights from diverse product data across the entire lifecycle, enabling smarter decision-making and enhanced productivity, speed of innovation, and quality.
What is an Engineering Intelligence Data Graph?
The Engineering Intelligence Data 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 integrate with various existing systems and tools used by engineering teams.
What types of data does SPREAD connect and analyze?
SPREAD connects and analyzes various types of product data, including design, manufacturing, maintenance, and operational data.
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 unique selling points include the Engineering Intelligence Data Graph technology, the analytics hub and the collaboration environment for app creation. Key features include data integration, real-time analytics, collaboration tools and pre-built dashboards and applications that allow you to quickly leverage the value of connected data.
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 with a proven track record, supporting large enterprises with robust and scalable solutions.
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, including onboarding, training, and ongoing technical assistance, often in collaboration with partners.
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.