Multi-Sigma
Small Data AI Platform for Multi-Input & Multi-Objective Parameter Optimization in R&D
Multi-Sigma is a no-code AI analysis platform designed for the analysis and multi-objective optimization of complex systems in R&D and manufacturing. Using small data AI capabilities, the platform generates precise predictive models from sparse experimental datasets to optimize process parameters, material properties, and multi-stage process chains.
Key Features of Multi-Sigma
High Accuracy Predictions with Minimal Data
By finely tuning deep learning, Multi-Sigma generates high-accuracy predictions without overfitting, even when working with minimal data.
Explainable AI
Through factor analysis, Multi-Sigma quantitatively analyzes both the magnitude and direction of contributions of explanatory variables. This eliminates black-box opacity and ensures fully explainable AI models for R&D workflows.
Multi-Objective Optimization
The AI automatically explores process conditions that satisfy multiple competing objectives simultaneously. By extracting conditions from the Pareto solution set, Multi-Sigma delivers optimal trade-offs tailored to individual customer constraints.
Web-based SaaS Architecture with Enterprise Security
Hosted on the Google Cloud Platform, Multi-Sigma operates as a data-secure SaaS application that eliminates local hardware and installation requirements. Users execute complex AI analysis directly within a web browser on desktop PCs, laptops, or tablets.
Functions at a Glance
Multi-Input & Multi-Objective Analysis
Predict up to 100 objective variables from 200 explanatory variables simultaneously.
Deep Learning & Bayesian Optimization
Unified modeling for both structured datasets (> 20 samples) and sparse data (3–5 samples).
Predictive AI × Optimization AI
Real-time combination of deep learning predictions with genetic algorithm optimization.
Quantitative Factor Analysis
Automated evaluation of variable contributions to eliminate black-box opacity.
AI-Based Experimental Design
Advanced parameter space exploration replacing traditional statistical DoE methods.
Heterogeneous Data Processing
Seamless integration of categorical variables, spectral data, and image inputs.
Solutions & Industry Applications
Product Design
- Robust Optimization with Variation Consideration
- Optimizing the Product Design Lifecycle
- Secure and Scalable Model Sharing
Mechanical Engineering
- Optimization of manufacturing conditions
- Reduction of environmental load
- Supply Chain Optimization
Material Development
- Optimization of material properties and manufacturing conditions
- Construction of surrogate models
- Uncover underlying mechanisms between inputs and outputs
Smart Agriculture
- Yield prediction
- Optimization of production and processing processes
- Uncover unclear underlying mechanisms
Optimization of Medical Treatments
- Risk assessment for severe cases
- Proposals for optimal treatment policies tailored to patient conditions
- Rapid Prototyping and Innovation
Marketing
- Exploration of optimal product specifications for customer segments
- Exploration of the most desirable customer attributes
- Predict demand and customer reactions
Integrate Multi-Sigma into R&D Workflows
The application specialists at ADDITIVE provide assistance through live web sessions, evaluation licenses and technical consultations.
For inquiries about software functionality, licensing models, or technical specifications, please contact the ADDITIVE engineering team via
- Phone: +49 6032 34956 – 30
- Email:
This email address is being protected from spambots. You need JavaScript enabled to view it.