Why Speed Will Define Europe's Defense Advantage
Discover how SPREAD’s Engineering Intelligence helps Defense Primes and National Defense Authorities cut time to capability and strengthen digital sovereignty.
What is Engineering Intelligence?
Discover how SPREAD's AI-powered Engineering Intelligence Platform revolutionizes complex product development by integrating data and enabling innovation across the product lifecycle.
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.
The New Reality in Automotive Engineering
In this video, Philipp Noll, Co Founder and Managing Director of SPREAD AI, explains why AI often cannot be used effectively in engineering today and how companies are structurally solving this problem.
A Turning Point in the Defense Industry: Why R&D Needs to Move Faster Now
In this video, Philipp Noll, Co Founder and Managing Director of SPREAD AI, explains why AI often cannot be used effectively in engineering today and how companies are structurally solving this problem.
From AI Hype to Real Impact, How Enterprises Turn Artificial Intelligence into Measurable Business Value
Industry leaders reveal how to overcome AI challenges and turn artificial intelligence into tangible business value, focusing on real-world implementation and operational results.
Scaling Industrial AI from Pilots to Value: Target Architecture
The Scaling Industrial AI from Pilots to Value whitepaper outlines a practical reference architecture for applying AI across the product lifecycle in manufacturing. The document focuses on how organizations can connect existing engineering systems, structure product data, and deploy domain-specific workflows that make AI usable in daily operations.
ENGINEERING INTELLIGENCE INDEX
The Engineering Intelligence Index 2025 examines how engineers are navigating the growing complexity of software-defined products. Based on survey data from engineering leaders across manufacturing industries in the US and Europe, the report provides a fact-based overview of current challenges, costs, operational and technology needs, AI-readiness, and emerging practices in engineering.
Digitalization of Complex Systems: Knowledge Graphs and LLMs in Systems Engineering
Streamline complex systems engineering with Knowledge Graphs and LLMs to enhance traceability, reduce costs, and accelerate development in software-defined vehicles and aircraft.