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Description
Geminus harnesses the capabilities of predictive intelligence by blending artificial intelligence with physics through innovative multi-fidelity modeling techniques. Our pioneering AI, based on first principles, incorporates the physical limitations of the real world into robust predictive frameworks. The Geminus platform adeptly utilizes limited data to swiftly evaluate the dynamics of intricate industrial systems, enabling precise forecasts regarding the effects of key business decisions. By integrating models and data, Geminus's multi-fidelity strategy allows for the rapid creation of highly accurate surrogates, achieving speeds over 1,000 times faster than conventional simulations. Unique to Geminus is its ability to effectively measure model uncertainty, ensuring that you can trust your predictions and the strategic choices they inform. Additionally, Geminus significantly reduces the time taken to develop models from months to mere hours, while demanding far less data and computational resources compared to traditional AI or simulation approaches. The models generated through Geminus are imbued with insights derived from the actual behaviors of real-world systems, providing a deeper understanding that enhances decision-making. This innovative approach not only streamlines the modeling process but also empowers organizations to adapt swiftly to changing environments.
Description
STOCHOS is an advanced probabilistic AI solution designed specifically for engineering and research and development applications. It harnesses existing simulation, testing, and measurement data to swiftly predict new variants while providing uncertainty assessments for each prediction, allowing engineers to discern when to trust the results or opt for traditional solvers. Utilizing the DIM-GP framework, STOCHOS is effective even with limited datasets, ranging from just a few dozen to a few hundred samples, and can handle various data types such as scalars, signals, 2D and 3D fields, meshes, geometries, and images. Its capabilities include surrogate modeling, uncertainty quantification, Bayesian and multi-objective optimization, as well as multi-fidelity modeling and sensitivity analysis, along with generative geometry techniques. STOCHOS Flow, a user-friendly visual workbench, enables the creation of workflows without the need for coding, allowing teams to deploy them as web applications. The software operates on local hardware and can be installed offline, ensuring accessibility and privacy. Founded in 2018 in Grafing bei München, PI Probaligence is part of the CADFEM Group and has established itself as a technology partner with Ansys, promoting innovative solutions in engineering. Furthermore, its ability to integrate seamlessly into existing processes enhances productivity and drives efficiency in engineering teams.
API Access
Has API
API Access
Has API
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Integrations
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Integrations
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Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Quote on request
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Geminus
Country
United States
Website
www.geminus.ai/
Vendor Details
Company Name
PI Probaligence GmbH
Founded
2018
Country
Germany
Website
probaligence.com
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization