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 creative solutions and amazing products that millions of people love.”
Before founding SPREAD, my then-colleague, now-co-founder, Robert and I realized that engineers across large manufacturing organizations spend 70% of their time manually searching for product information.
They consist of tens of thousands of mechanical parts, and making them work together is a super complex task.
For manufacturers of such mechatronic products, the complexity was mainly driven by the mechanical dimension. Managing this complexity used to be relatively simple — just add more engineering power when needed. Today, however, machines are more connected and perform more and more functions through software and electronic components with trillions of variants, so they’re getting way too complex for this approach to be sustainable.
Electronic- and software complexity is growing so quickly that the tools used by engineers today — PLM systems, AML, PDM, etc — are not able to capture the complexity of the system as a whole. In fact, manufacturers are spending billions to prevent delayed product launches, failures, material waste, and recalls.
The fragmented tool landscape engineers have at their disposal causes essential information to be siloed, buried, or difficult to access. That’s what makes it even more impressive: engineers, with their know-how, manage to get those increasingly complex products to work.
We set out to create a tool that understands the product automatically and enables, through this knowledge, engineers and workers to solve their challenges much faster than ever before. So, they don’t have to spend all their time searching for data and translating it into usable information, and they can focus on solving bigger engineering challenges.
We made it our mission to make product information easily accessible and actionable for everyone.
Our goal in building the Engineering Intelligence Graph — a knowledge graph that connects, transforms, and standardizes all sources of product data — is to help the thousands of engineers working on a product quickly and intuitively get the knowledge they need.
SPREAD’s technology gives a holistic picture of how a product functions as a whole and understands the interplay of the mechanics, electronics, and software domains.
We developed use cases designed to tackle various domain-specific engineering challenges from development, to manufacturing, and maintenance.
SPREAD is trusted by giants in automotive, machinery, and aerospace & defense. Within three years, our client portfolio already includes all German automakers, and we’re expanding to more players in more markets.
At the beginning of May, we achieved a huge milestone. We closed a $16 million Series A round led by HV Capital. Also involved were our early investors Cavalry Ventures and angel investors such as Dylan Field, the founders of logistics unicorn Sennder, and Walter Kortschak.
We are grateful to have won the trust of our new partners and are even more excited about their support with the impressive and unique wealth of experience they bring:
The funding will help us develop SPREAD’s capabilities and expand our successes to other industries and to new markets.
But we would not have made it to where we are today without everyone who has supported us in this journey:
I’m excited to take the next steps on the journey ahead!