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Ratings and Reviews 0 Ratings
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What is STOCHOS?
STOCHOS is a cutting-edge probabilistic AI tool tailored for engineering and research and development sectors. It efficiently utilizes available simulation, testing, and measurement data to quickly forecast new variants while offering uncertainty assessments for each outcome, enabling engineers to determine when they can rely on the findings or revert to conventional solvers. Using the DIM-GP framework, STOCHOS proves effective even with smaller datasets, accommodating samples ranging from a handful to several hundred, and is capable of managing diverse data types, including scalars, signals, 2D and 3D fields, meshes, geometries, and images. Among its features are surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, in addition to generative geometry techniques. The user-friendly STOCHOS Flow visual workbench allows users to build workflows without requiring programming skills, enabling teams to implement these workflows as web applications easily. The software can be installed on local hardware and works offline, thus ensuring both accessibility and privacy for users. Established in 2018 in Grafing bei München, PI Probaligence operates as part of the CADFEM Group and has emerged as a key technology partner with Ansys, fostering pioneering solutions in the engineering domain. Moreover, its seamless integration into existing workflows not only boosts productivity but also enhances operational efficiency within engineering teams, making it a valuable asset in today's fast-paced technological landscape.
What is NeuralMould?
NeuralMould, created by Emmi AI, represents a cutting-edge Large Engineering Model tailored for injection molding, establishing a new standard in AI-enhanced engineering solutions by integrating any geometry, material, and injection gate configuration all within a unified framework. This system allows users to select from an array of geometries while experimenting with various injection parameters, materials, and gate placements, thereby facilitating swift simulations of filling dynamics, quick scenario evaluations, optimization of crucial performance metrics, and avoidance of frozen flow fronts. The intricate nature of injection molding simulations is attributed to the requirement for multi-physics computations that precisely replicate the transient flow of viscous plastics through complexly designed thin-walled forms under conditions of high pressure and temperature. NeuralMould adeptly captures these vital phenomena across a range of injection scenarios and mold configurations, delivering outcomes that compete with conventional solvers, yet do so in markedly shorter computation times. Furthermore, this model accommodates multi-material applications, enabling rapid prototyping, supporting multi-gate arrangements, and managing diverse processing parameters, all thanks to its scalable transformer-based architecture. This revolutionary methodology places NeuralMould as an essential resource for engineers aiming to improve both efficiency and accuracy within the injection molding domain, ultimately paving the way for more innovative manufacturing solutions. With its advanced features, NeuralMould is set to transform the landscape of injection molding technology.
Media
No images available
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Quote on request
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
PI Probaligence GmbH
Date Founded
2018
Company Location
Germany
Company Website
probaligence.com
Company Facts
Organization Name
Emmi AI
Company Location
Austria
Company Website
www.emmi.ai/models/neuralmould
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Categories and Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering