Engineering intelligence,written down.

SPREAD joins the AWS Partner Network and launches on AWS Marketplace to scale Engineering Intelligence

Berlin, Germany – SPREAD, the decision intelligence layer for engineering, today announced that it has joined the Amazon Web Services (AWS) Partner Network (APN) and is now available on AWS Marketplace. Together, these ...

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

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

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.

What is Engineering Intelligence?

Engineering is changing fast. Products like cars, aircraft, and industrial machines are now software-defined systems, complex networks of mechanical, electronic, and digital components that evolve continuously.

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 ...

Purpose-built AI for Engineering Excellence

Engineering leaders in automotive, defense, and machinery are rethinking how AI supports development, production, and service. This session shows how purpose-built AI delivers measurable impact across the full product ...

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 ...