SPREAD AI

🚘 “𝘞𝘩𝘢𝘵’𝘴 𝘵𝘩𝘦 𝘮𝘢𝘵𝘶𝘳𝘪𝘵𝘺 𝘰𝘧 𝘵𝘩𝘢𝘵 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯?” ⚠️ “𝘞𝘩𝘺 𝘪𝘴 𝘵𝘩𝘢𝘵 𝘧𝘦𝘢𝘵𝘶𝘳𝘦 𝘴𝘵𝘪𝘭𝘭 𝘧𝘢𝘪𝘭𝘪𝘯𝘨?” 🧩 “𝘞𝘩𝘰 𝘰𝘸𝘯𝘴 𝘵𝘩𝘦 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯?” Just another day in the life of a Product Line Manager. Across systems and suppliers, confusion builds fast. When key functions lack traceability and errors only show up late, well, well, well… delays and cost risks are almost guaranteed. But with SPREAD, the product maturity becomes clear. 💡 Maturity status. Error curves. Functional traceability. All visible. All connected. All in real time. 📊 Here’s what a typical day looks like, with and without SPREAD. 👉 Swipe through for the full story. #SPREADai #AgenticEnineeringIntelligence #ProductLineManager #VehicleDevelopment #ProductLifecycle 

Mark Micnik is #hiring!

𝐌𝐚𝐧 𝐯𝐬. 𝐦𝐨𝐮𝐧𝐭𝐚𝐢𝐧: -9°C at the summit ❄️ 80 KM through snow, ice, and solitude 🏔️ This was the brutal backdrop for the #BrockenChallenge. For our partner, ultrarunner Thomas Röhricht, the challenge intensified just kilometers into the race. Running in the dark, relying on tech, a crucial moment arrived. Something felt 𝘸𝘳𝘰𝘯𝘨. The lead pack, following the official GPS, seemed to be heading off course. Doubt crept in. Thomas's own smartwatch confirmed his gut feeling: the coordinates were drifting. 𝐓𝐡𝐞 𝐝𝐢𝐥𝐞𝐦𝐦𝐚: Trust the provided tech & the group ahead, or trust his 𝘰𝘸𝘯 data and instinct? 🤔 Thomas chose his 'system'. He made the hard call to turn back, confirming a GPS malfunction had indeed led others astray. The cost? Significant time lost, the main field far ahead. A moment of frustration that could end a race. Giving up would be easy. But Thomas embodies resilience. As he said: “I didn’t want to be thrown off by external noise. I needed to rely on my own system, and run my own race.” Head down against the biting wind, blocking out the solitude and doubt, he focused only on his rhythm, his data, his goal. Little by little, he clawed back the distance with relentless focus. 🏃♂️➡️ And he didn't just recover. 𝐇𝐞 𝐬𝐮𝐫𝐠𝐞𝐝 𝐚𝐡𝐞𝐚𝐝 𝐭𝐨 𝐖𝐈𝐍 𝐭𝐡𝐞 𝐫𝐚𝐜𝐞. 🏆 Result: 1st place in 7 hours, 41 minutes 🥇 Thomas's incredible performance proves there's no perfect run, especially when climbing 1,500+ meters on frozen trails. There's only rigorous planning, trusting your data, adapting fast, and recalibrating extremely fast. ✨ We're incredibly proud to partner with Thomas this season. His journey mirrors the decisiveness, data-driven approach, and dedication we bring to helping our customers conquer their own complex engineering challenges. What challenge are you recalibrating for today? #SPREADai #PerformanceEngineering #DataInformedDecisions #SystemsOptimization #Ultrarunning

Most engineering teams don't need 𝒎𝒐𝒓𝒆 data. They need data that makes sense: connected, contextual, and actionable. In the latest episode of #digdeep, our Co-Founder Philipp Noll joins Dr. Christof Horn to talk about one of the biggest blind spots in product development today: 🚨 Product data is scattered across hundreds of tools and formats. 📄 It’s buried in PDFs, stuck in silos, or duplicated across disconnected systems. ⚙️ And that’s a huge blocker for automation, AI, and future-ready development. The fix? Not a 3-year IT overhaul. But smarter infrastructure—knowledge graphs and connectors that make engineering data interoperable across the entire product lifecycle. From R&D to Production to Aftersales. 🧠 Context is everything. 💥 AI needs structure. 🛠️ Product development deserves better. If you care about speed, quality, and innovation in hardware engineering—tune in to the podcast (in German), link in comments. #SPREADai #EngineeringExcellence #KnowledgeGraph #DigitalEngineering #DeepTech #digdeep 

Keeping complex products on track starts with getting scattered product data in sync 🧩 Our VP of Engineering, Steinunn Arnardottir, shares how even one broken data connection can derail everything. This is why our AI-native Engineering Intelligence platform unifies mechanical, electrical, and software data into a single “vocabulary,” unlocking the hidden intelligence within. No chaos, just flow. If your setup feels out of tune, it might be time to rethink how your systems connect. Let’s chat. 🤖 #SPREADai #BuiltForComplexity

𝐄𝐦𝐞𝐫𝐠𝐞𝐧𝐜𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥-𝐬𝐭𝐚𝐜𝐤 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫? 🤖 R&D tech is changing fast. Are R&D roles keeping pace? We're inspired by organizations leading this shift: they're not just building innovative software-defined products, but fundamentally redesigning their R&D teams and processes for this new era – moving beyond old playbooks. 🔊 A recent Andreessen Horowitz podcast (link in comments) perfectly captured this trend, discussing the rise of the "full-stack engineer". These are the high-demand talents fluent across code, firmware, electronics, mechanics, 𝘢𝘯𝘥 system troubleshooting – essential for weaving AI into complex hardware like vehicles. But this deep integration, as Erin Price-Wright highlighted, means constant iteration where "things aren't fixed in time", inevitably breeding significant system complexity. Understanding the ripple effects across hardware and software domains is paramount. Navigating this complexity successfully demands clear, system-level visibility. At SPREAD, we're focused on providing that clarity across data spread between PLM, ALM, ERP and in spreadsheets or PDFs, enabling teams to manage dependencies across domains and accelerate robust development. 💡 How are you adapting your R&D setup for this increasingly integrated world of SDPs? #SystemEngineering #Automotive #HardwareSoftware #AI #FullStack #Engineering #RnD #a16z #FutureofWork #SoftwareDefinedProducts

🤯 From ‘WHAT’S GOING ON?’ to ‘PROBLEM SOLVED.’ 🦾 (because engineers shouldn’t need countless meetings to find the root cause of errors) Last week, we had the chance to take the stage at the Volkswagen #TechCooperationSymposium in Berlin – big thanks to Dr. Ludwig Fazel and Dr. Sasa Aleksic for the opportunity and for opening up the space to rethink how we tackle complexity in automotive engineering. In an interactive session, our very own Max Zehmisch walked through a scenario many know too well: 🚗 A multi-OEM vehicle is close to launch. 📞 The CTO calls: ‘The navigation screen keeps going black.’ ⏳ Two weeks later… 20+ stakeholders involved, countless meetings. And still no solution. With SPREAD, that story ends differently: 🧠 Our platform unifies all your existing product data — across tools, domains, and silos. 🤖 AI agents with domain expertise help your engineers cut through the noise, surface interdependencies, and get to the root cause. Fast. Supersonic fast. 💡 Increase troubleshooting speed in R&D and Production by 4x while reducing your R&D, IT and collaboration cost by up to 50%! No more chasing symptoms. No more wasted time. Just clarity, confidence, and real innovation. Curious how SPREAD fits your level of complexity? 🎥 Watch the full demo and see how our AI-powered Engineering Intelligence platform helps engineering teams go from chaos to control. Link in comments below. #SPREADai #EngineeringIntelligence #AgenticAI #RootCauseAnalysis #AutomotiveEngineering #DigitalTwin

🤖 Agentic AI in action at Hannover Messe 2025 🌟 We had a blast joining the incredible showcase of innovation and collaboration at HANNOVER MESSE! Here are our top learnings: 🦾 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐡𝐚𝐬 𝐭𝐚𝐤𝐞𝐧 𝐜𝐞𝐧𝐭𝐞𝐫 𝐬𝐭𝐚𝐠𝐞 This year's big conversation? Agentic AI -- where multiple specialized, purpose-built agents work in harmony instead of relying on one massive monolithic system. It's modular, scalable, and truly intelligent, moving AI from concept to real-world impact. 🚀 𝐅𝐫𝐨𝐦 𝐡𝐲𝐩𝐞 𝐭𝐨 𝐫𝐞𝐚𝐥𝐢𝐭𝐲 Agentic AI -- not as a buzzword, but as a tangible solution addressing various pain points across the product lifecycle. From speeding up R&D cycles, reducing late-stage errors in Production, and guiding technicians in the field, concrete use cases are emerging now, delivering clear results. 🤝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐝𝐫𝐢𝐯𝐞𝐬 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 The biggest impact we've seen comes from joint ecosystems. By partnering up with digital.industry, Bosch Software and Digital Solutions, and Ferdinand-Steinbeis-Institut, we joint forces to share resources, data, and knowledge to co-develop solutions -- harnessing the power of AI in ways no single player could achieve alone. Agentic AI was undoubtedly the star of the show, and we're proud to be at the forefront of this transformational shift. Huge thanks to industry leaders like Prof. Dirk Slama, Kai Hackbarth, Christian Schweizer, and all dedicated collaborators for making this possible. #AgenticAI #HannoverMEsse #Industry40

👋 ENGINEERS 👋🏾 Ever wondered what SPREAD actually does? Tomas Karlsson and Daniel Wilms, our CTO and Principle Platform Architect, break it down: How we virtualize a complete product understanding and bring the power of AI to Engineering. From information overload, data chaos, and stress – we provide a new ability to realize the enormous value of previously “useless” historical data. 🎯 Clarity instead of complexity 📊 Data that works for you, not against you 🚀 Built for engineers, by engineers 👉 Watch the video. And see how SPREAD is transforming fragmented product data into intuitive, actionable insights to drive faster, more efficient, and groundbreaking innovations in Software-Defined Product (SDP) development. #SPREADAI #EngineeringIntelligence #Automotive #ProductDevelopment #DigitalTwin #InnovationInAction

🔍 Imagine a 30-ton excavator that can predict its own wear and tear — no guesswork, no downtime. Sounds impossible? 🏗️ That’s exactly what Leon Friedrich and Felix Dutschke from our team is showcasing at bauma 2025 with our partner, HAZEMAG. 📈 As machines become more complex and software-defined, traditional approaches to uptime, repair, and spare parts management can’t keep up — especially across 20+ year lifecycles, global fleets, and configuration-heavy systems. Meanwhile, technician shortages, rising service costs, and 98% availability targets add even more pressure ‼️ 💡 Enter Engineering Intelligence by SPREAD. Our solutions unify mechanical, electrical, and software data to enable fast, accurate, and variant-specific service — across parts, repairs, and technician enablement. Results? 📊 Up to 50% faster spare-part identification 🔧 Up to 75% faster troubleshooting and higher first-time fix rates 🚀 30% faster onboarding of technicians with real-time product data 👉 Come see how Engineering Intelligence can increase uptime, cut costs, and enhance quality for the heavy industry sector. Find us at: 📍 Hazemag booth at Messe München, B2.407 📅 April 7–13 #SPREADai #EngineeringIntelligence #BAUMA2025 #HeavyIndustry #SmartMaintenance