AI in PLM: How Intelligent Product Lifecycle Management (iPLM) Is Transforming Systems Engineering
Learn how AI in PLM is evolving, from siloed systems to real-time engineering intelligence. See how leading OEMs reduce troubleshooting time, unlock traceability, and scale insight.
Industrial AI in Discrete Manufacturing: Unlocking Higher FPY with Engineering Context
Industrial AI often misses the mark in discrete manufacturing. Root cause? Lack of engineering logic tied to VIN-specific configurations.
Digital Product Twins for Manufacturing and Field Intelligence
Most digital twins stop at visualization. Learn how product-centered twins enable VIN-specific diagnostics, faster repairs, and design feedback loops.
AI in Systems Engineering: Why Most Pilots Fail and What Top OEMs Do Instead
AI pilots in systems engineering often fail due to unstructured data, overused LLMs, and lack of domain context. Learn how top OEMs build scalable AI with structured product knowledge.
From Reactive Service to Strategic Uptime: Refining Commercial Vehicles Aftermarket for Complexity
Commercial vehicle aftermarket shifts from reactive fixes to strategic uptime using digital twins. See how SPREAD unifies data to cut downtime and costs.
The Cost of Complexity: Why Commercial Vehicle R&D Needs Architecture Transparency Now
Commercial vehicle R&D faces rising delays and costs as SDV complexity grows. Learn how SPREAD helps OEMs restore control and deliver on time.
Managing Requirement Chaos & Variant Complexity With Digital Product Twins
OEMs, Tier-1 suppliers, and machinery companies accelerate quoting and reduce rework by managing customer requirements and variants at scale, without replacing existing systems.
.png)
Software-Defined Defense: Engineering Intelligence for Europe’s New Era of Defense
Software-Defined Defense is here. Learn how leading OEMs use engineering intelligence to cut quote times, reduce errors, and speed up delivery across programs like MGCS and FCAS.
Agentic Engineering Intelligence: Transparency & Efficiency through AI
Insights into practical application of SPREAD AI, which is already driving innovation in the automotive, aerospace, and mechanical engineering industries.
SPREAD's Technology: How We Turn Data Chaos into Clarity
How SPREAD works: Leverage Rapid data ingestion, a graph-based Product Twin, and an AI-powered Action Cloud to unify structured and unstructured data.
Closed-Loop Manufacturing: Can Digital Twins enhance innovation and efficiency in Production?
Revolutionize manufacturing with closed-loop processes. Discover how digital twins, real-time feedback & data-driven insights cut costs & drive innovation.
Knowledge Graphs explained: How you turn data into valuable insights
Unlock the power of Knowledge Graphs: Transform siloed data into actionable insights, streamline workflows, and boost innovation. Read now!
Mastering SDVs: Why innovative CTOs and R&D Teams turn to Agentic Engineering Intelligence
Transform your SDV engineering with Agentic EI: Unify data, accelerate decisions, and drive innovation. Master complexity today!
How Rheinmetall Air Defence improved change impact analysis - with a Defense Digital Twin
Revolutionize defense with SPREAD’s Defense Digital Twin: Unify data, optimize change impact, and accelerate innovation. Discover breakthrough efficiency!
How SPREAD Enables Automotive R&D Leaders to Eliminate SOP Delays Maturity Control
Boost R&D efficiency and cut time-to-market by up to 2 years with SPREAD Action Tower—unify your data, reduce rework, and drive innovation. Read more now!