Product Twin, AI Agents and Action Cloud in an intelligent low-code environment
Our Product Twin represents how a system works. Together with our underlying Knowledge Graph, 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 supported by intuitive solutions with an agentic layer.
10x
faster time-to-market
50%
costs reduction
Superior
quality
4 steps to an end-to-end product data journey
From distributed product data to actionable Agentic Engineering Intelligence.
Connect data from various sources
Create a standardized interpretation of your data by integrating your different data sources, including existing systems, structured, or unstructured data.
Map data into context
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 and customize our out-of-the box solutions
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, AI Agents that allow you to interact in natural language and automate engineering tasks.
Get fast value from Agentic Engineering Intelligence
With data in context, you can simply select your solution and apply the insights where you need them – in R&D, Production, and Aftermarket.
Enhancing Engineering Intelligence with AI Agents
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.
FAQs
SPREAD’s Agentic EI is a specialized network of AI agents designed specifically for engineers. It is built on three core layers: Rapid 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.
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
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.