Engineering intelligence,written down.

Beyond accuracy: Designing AI features engineers can trust

SPREAD AI Raises $30M Series B to Propel Software-Defined Defense, Vehicles and Machines from Concept to Mission

BERLIN and SAN FRANCISCO, April 29, 2026 – SPREAD AI, the Engineering Intelligence Platform transforming how the world's most complex products are developed and operated, today announced it has raised $30 million in ...

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

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: ...

From many shades to one family: the design story behind our colors update

Integrating AI into product workflows: Insights from Future Product Days 2025

Why Speed Will Define Europe's Defense Advantage

In November, political leaders, industrial executives, and technology builders gathered in Berlin for the Summit on European Digital Sovereignty. German Chancellor Friedrich Merz and French President Emmanuel Macron ...

CUBE 2025: Engineering’s Next Era Begins with AI-Ready Teams

On November 6th, CUBE 2025 gathered leaders from across automotive, defense, aerospace, and industrial machinery to answer a defining question for the decade ahead: How do we make engineering AI-ready, not someday, but ...

Inside the Industrial AI Summit 2025: What Europe’s Leaders Agreed Must Happen Next

On September 4, 2025, more than 60 senior executives, policymakers, and AI researchers gathered at Schloss Donaueschingen for the Industrial AI Summit 2025, co-hosted by SPREAD, Pelico, and EthonAI, fellow members of ...

What is Engineering Intelligence?

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

SPREAD completes SOC 2 Type II Examination

SPREAD Successfully Completes SOC 2 Type II Examination, Raising the Bar for Data Security in Digital Engineering We’re proud to announce that SPREAD has completed its SOC 2 Type II examination, demonstrating that our ...

A product that works isn’t enough: why thoughtful UX defines customer happiness

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.

The Ontology Shortcut That Costs You Tomorrow: Why Custom Schemas Create New Data Silos

Life at SPREAD: Becoming a Product Manager – How I moved from UX Research to Product, almost over night

Read faster, decide faster: why sentence case delivers clarity in complex engineering software

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.

One Platform, one experience: Introducing SPREAD’s new sidebar

Closing the Feedback Loop: What Europe Can Learn from China’s Software-Driven Auto Strategy

This article is an impulse from Christian Ringwald, Senior Product Manager at SPREAD AI. Christian brings a background in data analytics, E/E integration, and product development at Volkswagen, combining deep ...

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 ...

SPREAD completes SOC 2 Type I Examination

SPREAD Successfully Completes SOC 2 Type I Examination, Raising the Bar for Data Security in Digital Engineering We’re proud to share a major milestone in our commitment to enterprise‑grade security and organizational ...

AI in PLM: How Intelligent Product Lifecycle Management (iPLM) Is Transforming Systems Engineering

As software complexity increases and late-stage software changes become the norm, traditional PLM systems are reaching their limits. Built for governance, not intelligence, they lack the cross-functional traceability ...

Industrial AI in Discrete Manufacturing: Unlocking Higher FPY with Engineering Context

Why Software-Defined Vehicle Projects Stall and How Functional Control Restores Confidence

Product Twin Across the Product Lifecycle: Turning Product Data into Operational Decisions

AI in Systems Engineering: Why Most Pilots Fail and What Top OEMs Do Instead

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 ...

From Reactive Service to Strategic Uptime: Refining Commercial Vehicles Aftermarket for Complexity

The Cost of Complexity: Why Commercial Vehicle R&D Needs Architecture Transparency Now

Managing Requirement Chaos & Variant Complexity With Digital Product Twins

Software-Defined Defense: Engineering Intelligence for Europe’s New Era of Defense

Agentic Engineering Intelligence: Transparency & Efficiency through AI

In this talk with Prof. Dumitrescu (Director Research, Advanced Systems Engineering at Fraunhofer-Institut), Philipp Noll, founder and CEO of SPREAD, discusses the challenges and opportunities in modern engineering in ...

Agentic Engineering Intelligence: Transparency & Efficiency through AI

In this talk with Prof. Dumitrescu (Director Research, Advanced Systems Engineering at Fraunhofer-Institut), Philipp Noll, founder and CEO of SPREAD, discusses the challenges and opportunities in modern engineering in ...

SPREAD joins the EU AI Champions Initiative: Shaping the future of Engineering Intelligence in Europe

Imagine a world where complex engineering challenges are solved in the blink of an eye. At SPREAD, we’re working to turn this vision into reality. Now, as part of the EU AI Champions Initiative, we're set to amplify ...

SPREAD's Technology: How We Build Trusted, Scalable Engineering AI on Product Data and Semantics

At SPREAD, our mission is to make product data accessible, intuitive, and actionable for engineering teams, empowering them to lead the next era of software-defined product innovations through creativity and Engineering ...

Closed-Loop Manufacturing: Can Digital Twins enhance innovation and efficiency in Production?

Short answer is: No! Because in this environment, traditional manufacturing systems with loosely connected design, production, and operations processes often fall short, as the demands of new technologies, stricter ...

French National Railways meets SPREAD: How Digital Twins and unified product data redefine rail operations

Picture a depot manager arriving at dawn, just after spotting an abnormal vibration in the undercarriage of a high-speed train set. Normally, this would trigger a scramble to find the right parts and documentation - if ...

Joining SPREAD to bring actionable Product Knowledge at engineers’ fingertips

Engineering for Engineers Joining SPREAD feels like the perfect alignment of my passion for engineering and my experience in applying cutting-edge technology to solve real-world problems. As someone with a background in ...

Agentic Engineering Intelligence explained

For every engineer, time is one of the most valuable resources. Experts are constantly juggling intricate product architectures, massive datasets, and evolving system requirements, leaving little room for creativity and ...

Knowledge Graphs explained: How you turn data into valuable insights

Then came the introduction of a Knowledge Graph—and with it, a new way to navigate data, collaborate with colleagues, and get to the root of challenges faster. Below, we’ll walk through what this transformation looks ...

Mastering SDVs: Why innovative CTOs and R&D Teams turn to Agentic Engineering Intelligence

By the time he reaches his office, he's uneasy. Disconnected systems and scattered data could mean hours of chasing down teams, reviewing outdated spreadsheets, or reconciling conflicting reports. The model line ...

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.

Back to the future - Inside CUBE 2024 and Agentic Engineering Intelligence

What happened at CUBE 2024 CUBE 2024 was a dynamic gathering of industry leaders, innovators, and engineers, all focused on exploring the role of AI in shaping the future of engineering. The event featured the unveiling ...

Practical demonstration: How Agentic Engineering Intelligence (AEI) empowers engineers

At CUBE Conference 2024, SPREAD’s CTO, Tomas Karlsson, delivered an electrifying live demonstration of how Agentic Engineering Intelligence (AEI) is set to transform engineering workflows and redefine data utilization. ...

CUBE Expert Panel: How we drive AI in Engineering

As industries embrace AI-driven transformation, the engineering sector is at the forefront of leveraging AI to accelerate development cycles, enhance efficiency, and drive business success. The CUBE Expert Panel brings ...

Agentic Engineering Intelligence (AEI) - The future of engineering

The next era of engineering is unfolding before us, driven by the need to overcome data silos, bridge fragmented information, and eliminate legacy PLM challenges. At CUBE Conference 2024, Philipp Noll, Co-Founder of ...

Back to the future: 5 years of Engineering Intelligence - A journey into the future of engineering

At CUBE Conference 2024, SPREAD takes us on an extraordinary journey—tracing its evolution over the past five years, from its founding in 2019 to the next groundbreaking innovation: Agentic Engineering Intelligence.

How Rheinmetall Air Defence improved change impact analysis - with a Defense Digital Twin

Driving sustainable long-term growth as global demand surges The defense market is experiencing significant growth in sales and attention as international conflicts become more unpredictable. This surge in demand for ...

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 ...

How SPREAD Enables Automotive R&D Leaders to Eliminate SOP Delays Maturity Control

Automotive R&D: Increasing complexity meets siloed engineering

Speeding up chip-to-cloud-architecture: Have end-to-end product transparency and efficient change management to be rethought?

As regulatory requirements become increasingly stringent, clean data management and system integration are now critical priorities for automotive manufacturers. One key regulation, UNR 156 on software update management, ...

Enhancing Engineering Intelligence with AI Agents

"We believe, something has to change" begins Philipp Noll in his talk at CUBE Stuttgart. But how can engineers break free from the limitations of traditional siloed Systems Engineering once and for all?

How 3D diagnostics unveil efficiency in data-driven troubleshooting[DE]

Did you know that automotive software complexity has now surpassed even aerospace systems? While Boeing aircraft operate with around 12 million lines of code, modern automotive software can exceed 100 million lines. As ...

AI-powered Systems Engineering: our solution explained

See SPREAD Studio in action: How to build an application in a few clicks

Today, teams rely on accurate, real-time insights to make informed decisions. However, accessing and consolidating engineering data across complex vehicle architectures, software-defined components, and fragmented ...

CUBE'23 recap: how to master product complexity on a whole new level

Connecting minds at CUBE 🧊 At SPREAD, our goal is to connect people and information through the product they are working on.

Mastering product complexity: how to meet industry standards and customer expectations

As software becomes a critical revenue driver in the automotive industry, manufacturers are facing an unprecedented challenge—managing the increasing complexity of connected, software-defined vehicles. The transition ...

How we integrate AI and LLMs to make product data more accessible

At SPREAD, we are committed to making engineering intelligence more intuitive and user-friendly. To take this to the next level, we have integrated Large Language Models (LLMs) into our platform, introducing SPREAD ...

John Deere, Rheinmetall, and TU Berlin share their experiences with Systems Engineering to manage product complexity

As products become more digital and interconnected, their complexity skyrockets. Engineering teams can no longer rely on analog documentation and disconnected workflows—they must transition to digital collaboration to ...

CARIAD and Renumics on the opportunities of AI applications and LLMs in Manufacturing

AI and Large Language Models (LLMs) dominate the headlines, but can they truly be 100% accurate and safe in real-world manufacturing environments? While AI is often portrayed as a game-changer, its limitations and risks ...

Introducing our platform: 4 steps to an end-to-end product journey

As mechatronic systems become more digital and interconnected, their complexity is increasing at an exponential rate. Engineers must not only manage vast amounts of engineering data but also ensure that different ...

How can we demonstrate the added value of replacing blow fuses with semiconductors in a car?

Demonstrating the enhanced value of innovative products can be challenging, particularly in industries like automotive manufacturing, where traditional blow fuses are the norm. Simply introducing a semiconductor-based ...

How we use a GraphQL schema as a contract to efficiently build applications

Modern engineering workflows are becoming increasingly data-driven and interconnected, yet many teams still struggle with fragmented engineering data and siloed systems that slow down collaboration. SPREAD Studio, our ...

How to break knowledge silos for innovation: Empower engineers through access to product data

This summer, we had the pleasure of hosting a delegation of CXOs from the Google Cloud Learning Expedition. 40 top executives from various industries visited SPREAD as part of the opening of the new Google Campus in ...

How engineers can design more efficient products

As vehicles become more sophisticated and interconnected, manufacturers face increasing challenges in maintaining high first-pass yield rates. The growing complexity of software-defined vehicles, intricate electronics, ...

Infineon, Stadler, Mercedes-Benz and FAPS in discussion on data transparency

The wiring harness value chain involves multiple stakeholders—OEMs, suppliers, and engineers—each contributing to design, manufacturing, and maintenance. With so many players involved, is increased transparency and ...

What are the advantages of a data-centric architecture and knowledge graphs?

As products grow increasingly complex due to the integration of hardware, electronics, and software, seamless communication becomes essential for ensuring optimal performance. However, data silos among engineers hinder ...

A few thoughts about SPREAD’s recent $16 million Series A round

Two years ago, an engineer at a huge automotive organization told me: “I often feel like a handyman without a hammer.” I answered: “I think you are more like an artist without a brush. Because you manage to build ...

Efficient troubleshooting for faster rework and repair

Rework and repair processes in automotive and industrial manufacturing are often plagued by inefficiencies, high costs, and time-consuming diagnostics. As product configurations become more complex, traditional ...

SPREAD Cube: 6 degrees of Engineering Intelligence in the product lifecycle

It’s been one week since #CUBE22 and we’re still buzzing with excitement. Our first annual event for the SPREAD community was a big win for many reasons, so I wanted to share some insights for those who couldn’t make it:

How Production workers can achieve a higher first-pass yield

For automotive and machinery manufacturers, inefficiencies in production and aftermarket services can lead significant rework costs, delays, and miscommunication across teams. As vehicles and industrial machinery become ...

How engineers can design more sustainable and efficient products[DE]

Requirement-led wiring harness optimization

The wiring harness is often referred to as the central nervous system of a vehicle, responsible for ensuring seamless communication between electronic control units (ECUs), sensors, and actuators. As software-defined ...

For better automotive wiring harnesses: SPREAD visits COFICAB in Portugal

Wiring harnesses — the electrical systems that manage a vehicle’s communication signals — are among the biggest drivers of innovation (and thus complexity) for the auto industry. I’ve spent over a decade working on them ...

The Swedish King & Engineering Intelligence Across the Product Lifecycle: A Royal Technology Mission at SPREAD

The IVA — the Royal Swedish Academy of Engineering Sciences — came by SPREAD and brought along a very special guest. We had the honor of hosting the King of Sweden, H.M. King Carl XVI Gustaf, along with a delegation of ...