Thank you, Handelsblatt: At SPREAD AI we feel very honored to be featured next to German #AI champions such as Aleph Alpha, Parloa & Helsing 🚀 Also thank you, appliedAI Institute for Europe gGmbH, for recognizing SPREAD AI as one of the most promising AI #startups in Germany in 2024 🙏 Congratulations to all the other startups making the list! And of course, special thanks to our enterprise #automotive, #machinery & #industrial customers partnering with us on our mission to make product data the most accessible, intuitive, and actionable for every engineering mind with #EngineeringIntelligence. Access the full article from Luisa Bomke here: https://lnkd.in/e3NGzc7k
SPREAD AI
Dateninfrastruktur und -analytik
Berlin, Berlin 3.825 Follower:innen
Get accurate, intuitive, and actionable engineering information about mechatronic systems with SPREAD.
Info
SPREAD's mission is to make product data the most accessible, intuitive, and actionable for every engineering mind with Engineering Intelligence. SPREAD makes sense of complex mechatronic systems like cars, aircraft, and heavy machines. Our Engineering Intelligence collaboration software suite has our Engineering Intelligence Graph technology at the core that connects different data sources along the product lifecycle to make product information accessible, intuitive, and actionable for everyone who needs it. With applications from R&D to Aftersales, SPREAD is helping customers like Mercedes, Porsche, and VW leverage their collective engineering intelligence, so they can accelerate development cycles, eliminate millions in inefficiencies, and reduce the time and effort spent on information sharing.
- Website
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http://spread.ai
Externer Link zu SPREAD AI
- Branche
- Dateninfrastruktur und -analytik
- Größe
- 51–200 Beschäftigte
- Hauptsitz
- Berlin, Berlin
- Art
- Privatunternehmen
- Gegründet
- 2019
- Spezialgebiete
- Electronics and Wiring Software, Artificial Intelligence, R&D, Aftersales, Assembly Sequences, Deep Learning, Digital Twin, Automotive Engineering, Diagnostics, Rework, Complexity Management, Engineering Knowledge Management, Product Intelligence, 3D Visualization, Automated Knowledge Flows, Product Intelligence, Knowledge Graphs, Configuration Management, Systems Engineering, Systems Integration, Variant Management, Diagnosis & Troubleshooting, KI, Digital Twin, Digital Vehicle Twin, Engineering Intelligence und Engineering Intelligence Graph
Orte
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Primär
Wegbeschreibung
Prinzessinnenstr 8-14
EG
Berlin, Berlin 10969, DE
Beschäftigte von SPREAD AI
Updates
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3 characteristics of electronic #troubleshooting today: ⚠️ No transparency ⚠️ No Aftersales focus ⚠️ High dependency on experts Current troubleshooting tools are inadequate for modern E/E and software architectures, lacking transparency and consistency. Watch our presentation at the #Diagnosetagung in Dresden, where our expert Daniel Metzinger discusses how electronic 3D diagnostics boost efficiency in #Automotive troubleshooting. Access the video in the comments ⤵️
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Overcoming siloed engineering with #EngineeringIntelligence Last week, Frederik, our Head of Application, took the stage at the #INCOSEIS Systems Engineering Conference in Dublin 🇮🇪 He explained how engineers can connect and visualize existing product data with SPREAD AI's Engineering Intelligence Graph to gain a better understanding of complex #mechatronic systems ⚙️ Thank you very much for having us 🙏
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It’s time to empower engineers with #EngineeringIntelligence 🚀 Today, siloed engineering causes delays, budget overruns, and quality issues, costing OEMs millions in lost revenue. Our #EngineeringIntelligenceGraph allows engineers to integrate and connect data across the #product lifecycle, enhancing existing tools without replacing them ⚙️ Learn more about the next era of mechatronics powered by human creativity and engineering intelligence ⤵️
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We are excited to announce that we have been featured in the Sifted Industrial Tech Briefing as one of the early-stage startups to watch! 🚀 You can read the full article here: https://lnkd.in/ey3TcxxD
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Our impressions of CUBE Stuttgart 🧊 Big thank you to our panelists, Henning Lange (@STAR ELECTRONICS GmbH), Jochen Weiler (Mercedes-Benz Vans), Markus Kühl (@Getetec GmbH), Kamil Gaweda, Daniel Metzinger and to all the other experts from BMW Group, Porsche AG, Bosch, Daimler Truck AG, Hyundai Motor Company (현대자동차), and Plug and Play Tech Center, who joined us last week 🙏 We are looking forward to the next CUBE in Berlin on November 7th 📍 Want to join our next #EngineeringIntelligence conference? Learn more at the link below ⤵️
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Countdown for CUBE Stuttgart 🧊 In one week, experts from Mercedes-Benz AG, BMW Group, Porsche AG, Bosch, Daimler Truck AG, Plug and Play Tech Center, STAR COOPERATION GmbH, and many more will join us in Stuttgart on June 5th for these panel discussions: ⚙️ Troubleshooting from Engineering to Production and Aftersales: How to integrate product know-how along the product lifecycle. 🚗 Speeding up your chip-to-cloud architecture: How can we rethink functional chains to provide end-to-end product transparency and make Change Management more efficient? ... plus unveiling exciting company news & lots more surprises! Get some impressions of our previous editions of CUBE: Last chance to apply for a wildcard ⤵️
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🚀 100 reasons to celebrate 🚀 This month, we're thrilled to hit another milestone: we just welcomed our 100th SPREADster to the organization 🙌 It's amazing to see the handful of people who started in late 2019 grow into a diverse team representing more than 30 nationalities. From landing our first client to rolling out our platform to global customers, we've embarked on an incredible journey with one mission: making product information easily accessible and actionable for everyone. Want to join our team? Check out our open positions at the link below ⤵️
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How to implement #SystemsEngineering in your organization: learn the best practices from John Deere, Rheinmetall, and TU Berlin. In this panel discussion, Dr. Christian von Holst (John Deere), Prof. Dr. Lydia Kaiser (Technische Universität Berlin), Dr. Marc W. Honikel (Rheinmetall), and Kai X. Wang (SPREAD AI) discuss how to overcome the challenges engineering teams face when switching from analog to digital documentation. Video link in the comments ⤵️ Want to join us at CUBE Stuttgart on June 5th? Apply for your wildcard; there are only a few spots left 🎟
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