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HOW IT WORKS

A Living Product Twin for Software‑ Defined Vehicles & Machines

Integrate all your fragmented product data from PLM, ALM, CAD, ERP and MES plus (un)structured documents and logs in one Engineering Intelligence Platform.  See what changes what, and carry confident decisions into Production and Aftermarket.

Trusted by

 

OUR PLATFORM

SPREAD integrates disconnected product data into virtual Product Twins and offers AI-powered ready-made or customizable apps that turn product knowledge into actions and decisions.

1. Rapidly Ingest Data

1. Rapidly Ingest Data

Connect all of your structured and unstructured product data with our out-of-the-box connectors and AI-assisted mapper.

Structured Data

Product information from PLM, ALM, CAD, ERP, MES and other systems (e.g. architecture, components, tickets)

Unstructured Data

Product information in PDF, Excel, PowerPoint and other files (e.g., wiring, requirements)

2. Product Twin

2. Product Twin

Contextualize your product data into functional product twins with our leading knowledge graph and engineering ontology.

Knowledge Graph

Realistic representation of the intricate relationships between mechanical, electronic and software elements of complex products.

3. Action Cloud

3. Action Cloud

Harness Engineering Intelligence in our open platform with out-of-the-box solutions and customizable applications.

Flows

Visual interface to automate data workflows by defining rules, connecting sources and transforming data

Studio

Low-code interface to quickly build your own applications and dashboard

Solutions

Proven pre-configured solutions across the product lifecycle

+ AI Agents

+ AI Agents

Deploy our pre-trained multi-agent network to automate routine engineering tasks, letting your engineers concentrate on critical innovation. Our agents help you map, validate, transform and analyze your product data across the product lifecycle.

The SPREAD advantage

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Start fast without ripping out engineering systems

Our SaaS platform sits as an integration & orchestration layer over your existing tools, so you can realize value in weeks, not months

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Contextualize your data with our ontology

Our ontology and knowledge graph capture relationships across mechatronic products building a structured foundation

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Deploy proven solutions, scale modularly

Proven pre‑configured solutions can be live in weeks and scaled across the lifecycle and teams

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Build your own solutions in a low‑code environment

Studio & Flows let engineers and process owners create governed apps quickly – without heavy IT involvement

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Harness AI agents with product context in place

Run pre‑trained or custom AI agents on your governed data backbone to automate analysis and actions safely

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Enterprise‑grade security & flexible deployment

Run in the cloud or on-premise with role-based access and audit trails. SOC 2 Type I, ISO27001, TISAX and GDPR-ready

Engineering success in action

See how industry leaders steer projects
confidently and unlock innovation with SPREAD.
Mitigating €2B SOP risk at a leading automotive OEM
Mitigating €2B SOP risk at a leading automotive OEM
European Auto OEM ensured planned SOP and time-to-market, while saving >€20m of costs
>€20M+
through error reduction & delay avoidance
60%
faster troubleshooting via interdependency clarity
€2B
risk mitigated through SOP assurance
Learn more

Industries that run on SPREAD

Deploy AI-powered solutions along the entire product lifecycle with immediate impact.

FAQ

See more FAQ’s

What is Engineering Intelligence (EI)?

SPREAD’s Engineering Intelligence is an AI-driven, federated system designed for engineering teams. It consists of three core layers:

  1. Rapid Data Ingestion – Smart connectors integrate structured and unstructured data from CAD, PLM, ERP, IoT, and other sources into the Engineering Intelligence Graph.

  2. Product Twin (PT) – A federated Knowledge Graph that contextualizes data across the product lifecycle, providing engineers with a unified, queryable data model.

  3. Action Cloud – AI-driven automation and analytics enable engineers to conduct compliance checks, optimize requirements, and analyze dependencies efficiently.

This architecture transforms raw engineering data into context-aware, AI-actionable knowledge, reducing manual effort and improving decision-making.

What is an Engineering Intelligence Graph (EI Graph)?

SPREAD’s Engineering Intelligence Graph (EI Graph) is a federated supergraph that unifies structured and unstructured product data across domains (R&D, Production, Aftermarket).
It leverages:

  • GraphQL-based schema to standardize data models.

  • Subgraphs optimized per domain, aggregated into a unified, scalable supergraph.

  • Automated AI-assisted data mapping to integrate diverse engineering data sources.

This enables cross-domain insights, real-time querying, and advanced analytics, making complex product data machine-readable and actionable. 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 provides out-of-the-box connectors, API integrations, and graph federation to ingest data from CAD, PLM, ERP, and IoT systems. Features include:

  • Declarative data mapping – Standardizing heterogeneous data formats.

  • Real-time synchronization – Ensuring up-to-date insights.

  • Federated query capabilities – Allowing seamless interaction with external data sources.

SPREAD enhances existing tool chains by unifying, structuring, and contextualizing data, eliminating silos.

What types of data can be connected and analyzed with SPREAD?

SPREAD integrates and analyzes diverse product data across the entire lifecycle. This includes CAD design data, engineering specifications, production metrics, test results, maintenance logs, and real-world usage feedback.

By unifying structured and unstructured data from multiple sources, SPREAD creates a comprehensive, interconnected view that enables engineers to understand complex dependencies, make data-driven decisions, and optimize product development and support processes.

How does SPREAD differ from or relate to PLM software?

SPREAD extends beyond traditional PLM by creating a federated Engineering Intelligence Graph that integrates:

  • Design (CAD), Engineering (PLM), Production (ERP), Testing, Aftermarket, and IoT data.

  • Real-time system-wide dependency analysis.

  • AI-driven automation for compliance, issue resolution, and requirement validation.

Unlike traditional PLM, SPREAD harmonizes disparate data into a single Product Twin, enabling engineers to analyze relationships, automate workflows, and make data-driven decisions efficiently.

What are Engineering Intelligence Agents (EI Agents)?

EI Agents are AI-driven routines operating within SPREAD’s Engineering Intelligence Graph. They can be taught to automate engineering tasks by interpreting queries, accessing structured and unstructured data, and providing validated, context-aware insights.

These agents streamline workflows, enhance data mapping, and support high-value tasks like requirements analysis, error pattern detection, and specification generation.