1000Kelvin enables companies using additive manufacturing in production to get qualified parts to market faster at a lower cost. 1000Kelvin’s AMAIZE software uses AI models to : Automated analysis of your parts with AMAIZE’s AI to determine printability Automated build preparation you can have confidence in, with optimized exposure strategy A solution that helps you quote and do faster build preparation, ensuring you stay competitive.
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Huntington Beach, CA 92647 , US
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1000 Kelvin’s AI has grown from toolpath optimization to automating nearly the entire pre-print workflow for metal #3Dprinting. Michael Molitch-Hou speaks to CEO Omar Fergani about the news. You can visit the company at Formnext - Where ideas take shape this week, Booth D39, Hall 11.1.
🚀 Exciting Times at 1000 Kelvin 🚀 We thrilled to invite everyone to connect with us and learn more about how our innovative Physics AI is transforming build preparation. We’ve been working tirelessly, and we excited to share that we have some incredible announcements on the horizon! We can’t wait to show you what’s coming next for 1000 Kelvin and how it will redefine possibilities in the industry. Come by, learn more, and let’s talk about how we can drive your business forward. 💡 Omar Fergani Dr. Katharina Eissing Abedin Gagani, PhD #PhysicsAI #1000Kelvin #BuildPreparation #Innovation
Suffering from high cost of engineering, low production yield high scrap rate ? Join us booth D39 Halle 11.1 at Formnext - Where ideas take shape to learn about how leading companies leverage physics - CAM #AMAIZE
Would you try to bake a cake without knowing what an oven does? Sure, you can throw the ingredients together, but good luck getting that perfect rise. Using CAM without physics is no different. In manufacturing, physics-informed CAM is the secret ingredient—whether it’s #additivemanufacturing, #machining, or #incrementalsheetforming. Without it, you’re just hoping for the best. Here's why and how: - Root cause? Geometry-based 2D vector based representation CAM software - Physics-based CAM? It instantly caught the issue - Then it fixed it—no expert needed - Fully automated - 10x faster, 10x cheaper Curious? Stop by 1000 Kelvin at Formnext - Where ideas take shape—where ideas (and parts) take shape :) Dr. Katharina Eissing Abedin Gagani, PhD
🚀 Incredible week at the NAMIC Singapore Global AM Summit in Singapore! 🌏 Our CEO Omar Fergani took the stage to dive deep into the key role of #AI in the future of #additivemanufacturing It was exciting with cutting edge industrial players in Singapore and the AIPAC region to drive the manufacturing of spare part for O&G, Aerospace and copper use cases with semiconductor manufacturing. Two main take aways: 1- The industry and the player in Singapore and the region are fully committed to AM as a solution to key industrial challenges with clear use cases. 2- AI is not an option, the knowledge driven future of AM is going to be accelerated by Physics-AI Thank you Chaw Sing HO for the impressive organization and the quality of the discussions, Cheers Joris Peels https://lnkd.in/dB9KEi7F #Innovation #AdditiveManufacturing #3DPrinting #AI #FactoryOfTheFuture #Automation #NAMIC #Singapore
We are thrilled to be in the USA, close to our customers and partners, and at the forefront of innovation! The 1000 Kelvin team will be at IMTS - International Manufacturing Technology Show on September 9-14, with our partners EOS and Autodesk. We look forward to meeting you and engaging in exciting discussions on how #AI can help advance, improve, and automate #AdditiveManufacturing. Don’t miss the chance to connect with us and explore the future of industrial AM. Book your meeting with us at the link below: https://lnkd.in/dUJgn8h4 #AI #AM #DigitalManufacturing #AICopilot
The use of large support structures for #AM leads to longer build time & powder consumption and longer post processing time. This has an impact on both the cost-per-part (CPP) of AM components and the production lead time. By leveraging physics based #AI technology, engineers can identify the most critical areas of a build job and add supports only where needed. This means reduced CPP and lead time. To learn more, check the case study at the link: https://lnkd.in/d7v2ih68 #AM #AMAIZE #LPBF #additive #ai #copilot #DigitalManufacturing
⏳📈 Our customers tell us that they used to spend a lot of time and resources on non-recurring engineering (NRE), influencing lead time and costs. 👷🏻♂️📐Until today, the only way to build best engineering practices on #MetalAM is through costly trial & error or complex FEA. ...but there is another way... ☁️ 💻 Cloud computing has unlocked the possibility to bring powefull #AI/ #ML platforms at your fingertips to solve the most complex engineering challenges. This is why our customers have chosen #AMAIZE to rapidly optimize their print jobs and cur NRE. 🌐👇🏻 If you want to learn more, check out this case study. https://lnkd.in/dNjzTMNB #AM #lpbf #additive #AI #copilot Omar Fergani Dr. Katharina Eissing Abedin Gagani
💥 Why does physics-based AI opens unprecedented possibilities for #AM? Our clients are consistently impressed by one standout feature: unmatched computational speed. 💥 #AMAIZE outperforms traditional methods, slashing the time it takes to overcome printing challenges. Forget the slow, painstaking process of trial and error. Compared to Finite Element Analysis (FEA), there's no contest. 🚀 With the power of AI and cloud computing, AMAIZE operates at a pace that's not just faster—it's transformative. ⏱️ Predict, correct, and generate new print files in minutes or hours, not days. This isn't just an incremental improvement; it's a quantum leap in efficiency. 📝 Want to learn more? Dive into our study: https://lnkd.in/e9Bcfhbr #3DPrinting #Innovation #AI #CloudComputing #AMAIZE Omar Fergani, Dr. Katharina Eissing, Abedin Gagani
🎯 For #AM engineers, quickly identifying the most critical areas of a print job is crucial. 💥 This is where #AIcopilots like #AMAIZE come in, providing early feedback by highlighting these critical areas and correcting these issues without requiring any design changes. To learn more check our page 1000 Kelvin. #AM #AIcopilot #additive #3Dprinting #DigitalManufacturing
⚠️ AM engineers are familiar with shrink lines and their detrimental impact on the quality and performance of AM parts. 💥 But what if you could now predict them with #AMAIZE before printing? ⏱️ And what if we could do it in just a few seconds? Check our Richard Williams telling more about it: #AIcopilot #shrinklines #AdditiveManufacturing #DigitalManufacturing