Engineering intelligence,written down.

The case for friction in AI UX: why "Accept all" is the wrong pattern

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 can solve this problem structurally. The focus is on ...

A Turning Point in the Defense Industry: Why R&D Needs to Move Faster Now

The Zeitenwende (turning point) is massively increasing the pressure on the European defense industry. Manufacturers must understand and configure complex systems comprising electrics, electronics, software and ...

Scaling Industrial AI from Pilots to Value: Target Architecture

Scaling Industrial AI from Pilots to Value: Target Architecture Many AI initiatives in engineering start with promising pilots but struggle to scale into production environments. The Scaling Industrial AI from Pilots to ...

Requirements Management in the Age of AI: Turning Past Projects into Tender Intelligence

This article was written by Pedro Vilhena, Senior Product Manager at SPREAD AI. With experience building and scaling software products across B2B SaaS and AI platforms, Pedro blends hands-on delivery with strategic ...

From AI Hype to Real Impact, How Enterprises Turn Artificial Intelligence into Measurable Business Value

This panel cuts through AI hype and inflated success stories to examine what actually works in practice. Stefan Tolle, Executive Advisor at SPREAD and former President and Senior Vice President at MAN+HUMMEL and Bosch, ...

Unifying icons at scale: lessons from a growing engineering tool

2025: The year SPREAD became a preferred software partner for Industrial AI in Engineering AND BEYOND.

This year marked a clear shift, not just in technology, but in how Europe chooses to move forward in the race to AI Sovereignty. Across industries, sectors, and borders, leaders aligned around a shared understanding: ...

Engineering Intelligence, Unlocked. The SPREAD AI Platform Explained

This presentation breaks down the three layers of the SPREAD AI platform and how they transform complex engineering work. It opens with the data ingestion engine that unifies PLM, ALM, ERP and other sources into an open ...

The Next Generation of Engineering Intelligence

The CUBE 2025 product keynote presents the newest evolution of SPREAD AI’s Engineering Intelligence Platform. The talk introduces the next generation of Requirements Management, built to ingest unstructured and ...

The Engineering Intelligence Index

75% of engineers now spend at least a third of their time on admin, coordination, and chasing information across siloed systems rather than on development work.

Digitalization of Complex Systems: Knowledge Graphs and LLMs in Systems Engineering

Modern vehicles and aircraft are no longer just machines. They are software-defined, data-driven ecosystems, with complexity rising exponentially. In automotive alone, software complexity has grown by 300% in the last ...

Back to the future: CUBE 2024 Report

Today's engineering leaders face a dual challenge: the pressure to innovate faster while managing ever-increasing product complexity.

Tech Deep Dive: Federated queries in Dataspaces

Global economic and legal challenges require innovative solutions that balance efficiency, security, and data sovereignty. Industries such as automotive, logistics, and manufacturing are facing mounting pressure to ...