CADLM

www.cadlm.com

Keywords : AI & Data Mining, Machine Learning, Model Reduction, Optimization, Risk & Reliability, Robustness, Digital twins Since 1989 CADLM is a precursor for introducing machine learning technology for engineering practices and through to its high added value customization services has been involved in design and optimization of many industrial products and processes . On 15 October 2018, CADLM announced the official release of LUNAR, a new software powered by its AI engine ODYSSEE for on-board computing and design. This solution, based on fusion techniques and Model order Reduction algorithms (ROM) is a world premiere for conducting real-time parametric crash and safety simulations. LUNAR is a complete rupture compared to the previous existing but time consuming solutions requiring DOE type output (optimization, reliability, robustness, parametric and population studies, etc.). Industries : Automotive (Crash/Safety, Fluid, ...), Healthcare, Aerospace, Defense, Biomedical, Consumer products, Manufacturing, Civil Engineering, Energy, Automotive, ... since the CADLM’s innovative real-time technology may be easily employed for encapsulation of any FE simulation model used for decision support systems. You may test the new technology by registering at the following web-site : https://quasar.cadlm.com CADLM Product : ODYSSEE (Optimal Decision Support System for Engineering and Expertise) is an innovative platform with rapid ROI allowing for definition of processes, fusion of simulation and physical data and creation of reduced, on-board models :ODYSSEE Model Reduction, ODYSSEE Data Mining, ODYSSEE Optilization, ODYSSEE Full Package Quasar Online, SaaS version Products under ODYSSEE Platform : QUASAR (AI engine) - NOVA (Optimization) - SUPERNOVA (PrePost) - LUNAR (Model Reduction) * Services : Dedicated Application Development - Simulation & Model Reduction - Data Analysis - Fault Detection and Forecasting - Predictive Maintenance

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Keywords : AI & Data Mining, Machine Learning, Model Reduction, Optimization, Risk & Reliability, Robustness, Digital twins Since 1989 CADLM is a precursor for introducing machine learning technology for engineering practices and through to its high added value customization services has been involved in design and optimization of many industrial products and processes . On 15 October 2018, CADLM announced the official release of LUNAR, a new software powered by its AI engine ODYSSEE for on-board computing and design. This solution, based on fusion techniques and Model order Reduction algorithms (ROM) is a world premiere for conducting real-time parametric crash and safety simulations. LUNAR is a complete rupture compared to the previous existing but time consuming solutions requiring DOE type output (optimization, reliability, robustness, parametric and population studies, etc.). Industries : Automotive (Crash/Safety, Fluid, ...), Healthcare, Aerospace, Defense, Biomedical, Consumer products, Manufacturing, Civil Engineering, Energy, Automotive, ... since the CADLM’s innovative real-time technology may be easily employed for encapsulation of any FE simulation model used for decision support systems. You may test the new technology by registering at the following web-site : https://quasar.cadlm.com CADLM Product : ODYSSEE (Optimal Decision Support System for Engineering and Expertise) is an innovative platform with rapid ROI allowing for definition of processes, fusion of simulation and physical data and creation of reduced, on-board models :ODYSSEE Model Reduction, ODYSSEE Data Mining, ODYSSEE Optilization, ODYSSEE Full Package Quasar Online, SaaS version Products under ODYSSEE Platform : QUASAR (AI engine) - NOVA (Optimization) - SUPERNOVA (PrePost) - LUNAR (Model Reduction) * Services : Dedicated Application Development - Simulation & Model Reduction - Data Analysis - Fault Detection and Forecasting - Predictive Maintenance

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Country

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Employees

1-10

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Founded

1989

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Estimated Revenue

$1,000,000 to $5,000,000

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Potential Decision Makers

  • Development and Studies Engineer

    Email ****** @****.com
    Phone (***) ****-****

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