Siana

🚀 Getting Started with Predictive Maintenance in Just 2 Minutes 🕒 From time to time, we find that people believe getting started with Siana and machine monitoring is a large, time-consuming task 🤔 Usually, it's because many technicians working in manufacturing, who install and use industrial technology, are used to IT implementations turning into large, almost endless projects. We wanted to showcase that this is not the case with Siana. What better way to do it than by actually timing the installation process of Siana, and showing you how easy it’s done? ✅ And that’s exactly what we did💡 Are you interested in learning more about how AI-driven Predictive Maintenance can help you avoid Breakdowns and Downtime? Then let’s get in touch 👋: https://lnkd.in/dY_tCQT7

Why Is So Much Machine Data in Manufacturing Never Used? 😮 Manufacturers are collecting more machine data than ever: runtime, sensor readings, maintenance logs, production data etc. But in many cases, that data isn’t being used to its full potential. Not because companies don’t want to, but because systems don’t talk to each other. I see this all the time: ➡️ Machine data is stored in standalone platforms, often provided by the OEMs, with no easy way to export or integrate it. ➡️ Maintenance logs are buried in CMMS (maintenance) systems, making it hard to link past repairs to actual machine performance. ➡️ ERP systems track production and resource planning but don’t include real-time machine insights. ➡️ Manual reports are still common, technicians document service tasks on paper or in spreadsheets that aren’t linked to real-time machine data. The result? Critical insights get lost, and decisions are made without the full picture. This isn’t just an inconvenience, it’s a huge missed opportunity. Machine data holds valuable insights that could improve efficiency, reduce downtime, and optimize resources. But if that data isn’t accessible where it’s needed, it’s just numbers sitting in a system. That’s why Siana Usage and Siana Health integrate with CMMS systems, ERP systems etc., so machine runtime and health insights can be accessed directly within the platforms teams already use. No more jumping between systems or manually combining data. Just actionable insights where they matter. There’s a lot of talk about data-driven manufacturing, but without integration, most of that data simply goes unused.....

Check out our latest demo of Siana Usage and see how it works in action! 👇 With Siana Usage you can track machine operating hours, set usage-based service intervals, and gain insights into the utilization of your machines. Sign up for a free trial here: https://siana.ai/usage

🎉 Introducing Siana Usage – Usage-based Maintenance for Manufacturing 🛠️ It’s now easier than ever to go from calendar-based maintenance, to maintenance scheduling based on machine operating hours. And you can try it out for free! 😃 While our predictive maintenance technology (Siana Health) has already transformed how equipment care is handled, we know that certain tasks still depend on the operating hours of your machines. And that’s exactly why we’re launching Siana Usage, which bridges the gap between predictive and the standard time-based/calendar-based maintenance approach 🕒✨ With Siana Usage, you’ll be able to: 🔹 Implement Usage-based Maintenance in just 2 min., with our Siana Device and simple installation process 🔧📱 🔹 Track the activity of your machines, to know exactly when they have been running. 🔹 Set “Timers” that trigger maintenance alerts based on actual machine operating hours ⏲️ 🔹 Gain deep insights into machine utilization, adjusting maintenance schedules according to real data, not estimates 📈 🔹 Through integrations, automatically transfer data and create work orders in your existing CMMS/ERP system. Siana Usage is available now, both as a standalone offering - or in combination with our original Siana Health service! Click here to read more and get a chance to test it out for FREE: https://siana.ai/usage

✖️ ➂ AI startups to WATch ✖️ We know everyone’s talking about AI, but these three startups are doing more than just talking. They’re showing how AI can actually transform industries. Trust us, you’ll want to follow their journey!! NEVER ANOTHER creates wire-free bras tailored to individual body measurements. Their proprietary sizing algorithm customizes each bra to ensure optimal fit and comfort, accommodating diverse body types and preferences. Fruity-AI enables businesses to interact with their data through a conversational interface, similar to ChatGPT. Their platform, "Marmalade", allows employees to query company data effortlessly, promoting a more data-driven operational approach. Siana specializes in AI-driven predictive maintenance solutions for manufacturing companies. Their technology monitors the health of rotating machinery such as motors, pumps, and gears, predicting potential failures to prevent unplanned downtime.

Forebyg nedbrud – spar ressourcer og undgå spild ⚙️ Uventede nedbrud i produktionsudstyr kan føre til store omkostninger, spild af ressourcer og driftsstop, som påvirker hele produktionen. I samarbejde med Siana har vi hos Artlinco A/S udviklet en løsning, der tager produktionsindustrien et skridt nærmere mod en mere bæredygtig og effektiv drift. Med Siana’s AI-drevne sensorløsning kan virksomheder overvåge maskiners vibrationsmønstre og forudsige fejl, før de sker. Det betyder mindre spild, færre uventede driftsstop og optimeret produktivitet – en løsning, der skaber reel værdi for både miljøet og bundlinjen. Når bæredygtighed møder teknologi, skaber vi smartere produktion. Følg vores LinkedIn-serie, hvor vi hver uge deler nye cases og viser, hvordan vi gør bæredygtighed konkret og værdiskabende. #Bæredygtighed #Indsigt #Innovation #Implementering #Artlinco

𝗦𝗶𝗮𝗻𝗮 𝗸𝗲𝗲𝗽𝘀 𝘄𝗮𝘁𝗰𝗵 – 𝗮𝗻𝗱 𝗱𝗲𝘁𝗲𝗰𝘁𝘀 𝗶𝘀𝘀𝘂𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘁𝗵𝗲𝘆 𝗵𝗮𝗽𝗽𝗲𝗻! 🚨 In a recent post, I shared Petur Larsen exciting collaboration with Siana, which aims to bring advanced predictive maintenance solutions to the fishing industry. Today, I’d like to highlight two real-world examples of how Siana’s system has proven invaluable to our customers. 𝗖𝗮𝘀𝗲 𝟭 Siana’s system detected irregular vibrations in a Baader filleting machine at one of our customer sites. The system immediately sent a notification, and upon inspection, the issue was identified as a misaligned drive belt. Siana’s precise monitoring resolved the problem quickly, preventing costly downtime and ensuring smooth operations. 𝗖𝗮𝘀𝗲 𝟮 Earlier this summer, Siana’s system flagged a critical increase in vibration levels at another customer’s site. After investigating, we found that the cause was a damaged bearing. With Siana’s early warning, the customer replaced the bearing before it could cause more damage, saving time and avoiding production delays. 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗤𝘂𝗼𝘁𝗲: “𝘐’𝘭𝘭 𝘢𝘥𝘮𝘪𝘵 𝘐 𝘸𝘢𝘴 𝘪𝘯𝘪𝘵𝘪𝘢𝘭𝘭𝘺 𝘴𝘤𝘦𝘱𝘵𝘪𝘤𝘢𝘭 𝘢𝘣𝘰𝘶𝘵 𝘵𝘩𝘦 𝘷𝘢𝘭𝘶𝘦 𝘚𝘪𝘢𝘯𝘢 𝘤𝘰𝘶𝘭𝘥 𝘱𝘳𝘰𝘷𝘪𝘥𝘦. 𝘉𝘶𝘵 𝘢𝘧𝘵𝘦𝘳 𝘴𝘦𝘦𝘪𝘯𝘨 𝘩𝘰𝘸 𝘪𝘵 𝘥𝘦𝘵𝘦𝘤𝘵𝘦𝘥 𝘪𝘴𝘴𝘶𝘦𝘴 𝘦𝘢𝘳𝘭𝘺 𝘢𝘯𝘥 𝘩𝘦𝘭𝘱𝘦𝘥 𝘶𝘴 𝘳𝘦𝘴𝘰𝘭𝘷𝘦 𝘵𝘩𝘦𝘮 𝘣𝘦𝘧𝘰𝘳𝘦 𝘵𝘩𝘦𝘺 𝘣𝘦𝘤𝘢𝘮𝘦 𝘴𝘦𝘳𝘪𝘰𝘶𝘴, 𝘐’𝘮 𝘤𝘰𝘯𝘷𝘪𝘯𝘤𝘦𝘥. 𝘐𝘵’𝘴 𝘣𝘦𝘦𝘯 𝘢 𝘨𝘢𝘮𝘦-𝘤𝘩𝘢𝘯𝘨𝘦𝘳 𝘧𝘰𝘳 𝘶𝘴 – 𝘴𝘢𝘷𝘪𝘯𝘨 𝘣𝘰𝘵𝘩 𝘵𝘪𝘮𝘦 𝘢𝘯𝘥 𝘮𝘰𝘯𝘦𝘺 𝘸𝘩𝘪𝘭𝘦 𝘪𝘮𝘱𝘳𝘰𝘷𝘪𝘯𝘨 𝘰𝘶𝘳 𝘤𝘰𝘯𝘧𝘪𝘥𝘦𝘯𝘤𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘳𝘦𝘭𝘪𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘰𝘧 𝘰𝘶𝘳 𝘦𝘲𝘶𝘪𝘱𝘮𝘦𝘯𝘵.” Siana’s AI-powered system allows our customers to act proactively, reducing risks and ensuring optimal performance. Predictive maintenance prevents downtime and builds trust in your equipment’s reliability. 🔧⚙️ #PeturLarsen #Siana #PredictiveMaintenance #MachineMonitoring #PreventiveMaintenance #FishingIndustry

Maintenance teams are at the heart of smooth operations, and with the right tools, they can do even more. At Siana, we provide AI-driven predictive maintenance solutions that allow teams to handle machine health with ease and efficiency. 🔧 Siana’s intuitive technology requires no technical expertise to install and it only takes 2 minutes to get started. 🔔 Receive real-time alerts to prevent breakdowns and minimize downtime. 📊 Access easy-to-understand machine health insights, all from one dashboard. 🔗 Integrate seamlessly with your existing CMMS and ERP systems for smooth operations. Ready to empower your team and take control of machine maintenance? 🚀 Let’s get started! https://lnkd.in/dY_tCQT7 #PredictiveMaintenance #AIinIndustry #IndustrialEfficiency #MaintenanceSolutions #Siana #OperationalExcellence #MaintenanceTeams

65% af udgifter til vedligehold i produktionen er penge ud ad vinduet - men behøves det at være sådan? De fleste danske produktionsvirksomheder baserer vedligehold på fejlretning efter nedbrud eller skemalagt vedligehold. Det betyder ifølge Michele Colli, Head of Digital Production hos FORCE Technology, at "vi udfører vedligeholdelse for ofte eller for sent" – hvilket er dyrt. I et MADE Webinar gav han og Teknisk produktionsmanager hos FORCE Tecnology Kasper Stens Honoré indblik i metoder til at identificere de bedste business cases for at forbedre ens vedligeholdsprocedurer med industri 4.0 teknologi. Et eksempel på en sådan teknologi præsenterede Mads Harding Gliemann medstifter af virksomheden Siana, der tilbyder et sensorsystem til at foregribe fejl i maskiner ved at måle på vibrationer. Selvom IoT-løsninger naturligvis ikke er gratis, er det - som Michelle Colli forklarede - en bedre forretning at investere i det end for 10 år siden, da både prisen på sensorer og dataindsamling er blevet mere tilgængelig. Her fulgte Kasper Stens Honoré, op med, at virksomheder ofte glemmer de skjulte omkostninger som nedetid, effektivitet og tabte kunder. Læs meget mere om de værktøjer, som eksperterne peger på kan hjælpe virksomheder med at identificere potentialer for digitale vedligeholdsløsninger. Værktøjerne blev testet af en række virksomheder i et MADE Digital Maintenance-program. Læs om værktøjerne og om virksomhedernes erfaringer her 👇 https://lnkd.in/gZnTRJ2T #Produktionsklynge #Digitalmaintenence #AI

🚀 Introducing the new Machine Log on Siana! 🚀 At Siana, we are constantly innovating to provide manufacturing companies with the best tools to keep operations running smoothly. Today we are excited to announce a cool new feature: The Machine Log. The new Machine Log is designed to help keep track of every activity related to the monitored machines. With Machine Log, you can: 🔹 View Activity History  See all updates such as machine health changes, installations, name changes, battery replacements, and more. 🔹 Ensure Transparency  Know exactly who made which changes and when. 🔹 Centralized Documentation  Upload and store important documents, maintenance notes, and comments for future reference. Machine Log helps streamline operations by providing a clear overview of your machines’ history, making it easier to understand performance and maintenance needs at a glance. Are you interested in learning more about how AI-driven Predictive Maintenance can help you avoid Breakdowns and Downtime? Then let’s get in touch 👋: https://lnkd.in/dY_tCQT7 #PredictiveMaintenance #Manufacturing #OperationalEfficiency #Siana