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SPREAD: Engineering Intelligence Platform

SPREAD helps organizations in the automotive, aerospace, and industrial sectors manage complex product data. It is designed for teams that need to map dependencies across mechatronic products to support R&D and production workflows.

At a glance

Best for
Automotive and Aerospace engineers, Industrial machinery manufacturers, R&D and Production teams, Organizations managing software-defined products
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
Key use cases
Supporting bid and proposal creation, Analyzing product architecture, Technical troubleshooting, Managing product changes
Integrations
PLM import, ALM import, CAD import, ERP import, MES import
Official website
spread.ai
Screenshot of spread website

SPREAD is an Engineering Intelligence platform designed to consolidate fragmented data from various engineering sources into a unified, graph-based functional model. It is primarily built for organizations in the automotive, aerospace, and industrial machinery sectors that manage software-defined products.

The platform connects structured and unstructured data from systems like PLM, ALM, CAD, and ERP to create a Product Twin. This helps engineering teams navigate product architectures, track maturity, and identify electronic or software issues across different variants.

The software includes a low-code environment called Studio for building custom domain-specific applications and utilizes a multi-agent AI system to support data mapping and analysis tasks.

Buyers should confirm deployment options, as the tool supports cloud, client-cloud, and on-premise setups based on data governance and security requirements.

Key Features

Graph-based functional models

Creates Product Twins that represent relationships between mechanical, electronic, and software elements.

AI-assisted data mapping

Uses AI to help integrate and standardize structured and unstructured data from multiple engineering sources.

Requirements Manager

Links unstructured customer requirements to product architectures and historical data to support proposal creation.

Product Explorer

Provides a visual map of product architectures to show how functions are realized across components and signals.

Error Inspector

Designed to help identify electrical and software issues by linking errors to system dependencies.

Action Tower

Consolidates data across R&D, production, and aftermarket to track product maturity and performance.

SPREAD Studio

A low-code interface that allows users to build custom applications and dashboards.

Use Cases

Supporting bid and proposal creation

Matching incoming RFQs with historical project data and reusable components to help estimate costs.

Analyzing product architecture

Navigating mechatronic dependencies to understand how changes impact different components.

Technical troubleshooting

Identifying root causes for electrical and software issues in production or aftermarket settings.

Managing product changes

Identifying relevant engineers for approval processes based on product architecture and variants.

Best For

Automotive and Aerospace engineersIndustrial machinery manufacturersR&D and Production teamsOrganizations managing software-defined products

Integrations

PLM importALM importCAD importERP importMES importPDF importExcel importReqIF import

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

FAQ

What does SPREAD do for engineering teams?

It integrates disconnected data from systems like CAD, PLM, and ERP into a 'Product Twin' using a knowledge graph, which helps engineers analyze dependencies and solve technical issues.

Can SPREAD be deployed on-premise?

Yes, SPREAD offers flexible hosting options including SPREAD Cloud, a managed Client Cloud, and custom on-premise deployments.

How does SPREAD handle data security?

The platform is GDPR-compliant and holds ISO 27001, TISAX, and SOC 2 Type II certifications.

Source category: Software Development

Source subcategory: Analytics & Reporting

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