AI DECISIONING
AI Decisions RecipeTrue AI isn’t just about machine learning - it’s about making smarter decisions using data, logic, and learning together. 
Real DataGives you context
Predictive ModelsShow what’s likely to happen
Business rulesDefine what should happen
Generative AIAdds reasoning and summarization to what happened
It Was Always AIChatGPT is a transformer-based neural network - it’s a type of machine learning. Scorecards, decision tables, and other predictive models are also forms of machine learning. So in the end, it’s all about machine learning - and that’s exactly what ProcessMIX is built to support, end to end.
MODELS
AI That Fits Your DomainWith ProcessMIX, you don’t just plug into public AI - you own it. Define and run your private models, keeping your data and strategy fully under your control. It’s not about integration, it’s about privacy.
Embedded Models: PMML 4.3
Predictive Model Markup Language (PMML) is an XML-based language for representing and sharing predictive models across different software applications and platforms.
Predictive Model Markup Language (PMML) is an XML-based language for representing and sharing predictive models across different software applications and platforms.Association Rules
details →Represents rules where some set of items is associated to another set of items.
Clustering Models
details →A cluster model basically consists of a set of clusters. For each cluster a center vector can be given.
General Regression
details →It's a statistical model for predictive analytics that generalizes regression techniques to relate a dependent variable with one or more independent variables.
Neural Network
details →Is a computational model inspired by the human brain’s structure and functioning. It is a key technology in artificial intelligence and machine learning, used for tasks like classification, regression, and pattern recognition.
Vector Machine
details →Is a supervised learning algorithm used for classification and regression tasks.
Baseline Models, Bayesian Network, Gaussian Process, k-Nearest Neighbors, Naive Bayes, Regression, Sequences, Text Models, Time Series, Trees
Self Hosted Models
Computer Vision
Natural Language Processing
More than1 000 000 ready to use models
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GEN AI
Private Gen-AI - Secure Intelligence, Fully YoursProcessMIX lets you run, fine-tune, and augment open-source language models entirely within your infrastructure - no data ever leaves your environment.
Retrieval-Augmented GenerationThis method enhances the capabilities of generative models by incorporating relevant information retrieved from external sources, thereby improving the accuracy and relevance of the generated content.Benefits of RAG
Improved AccuracyBy leveraging up-to-date external information, RAG can produce more accurate and relevant content.
Contextual UnderstandingThe retrieval component helps the model understand specific contexts better by providing relevant background information.
ScalabilityIt can handle queries that require current or domain-specific information, which might not be available in the model's pre-trained data.
Fine-TuningFine-tuning is a process in machine learning, particularly in the context of deep learning, where a pre-trained model is further optimized on a new dataset that is typically smaller or more specific than the dataset used for initial training.This process allows the model to adapt to new, often domain-specific tasks without the need to train a new model from scratch.Fine-tuning leverages the knowledge the model has already acquired, improving both efficiency and performance on the new task.
AGENTS
Agents- Smart Decision ExecutorsAgents in ProcessMIX are AI-powered components that don’t just predict - they act. They combine logic, rules, and optional generative AI to carry out decisioning tasks, automate flows, and respond intelligently to changing conditions.Think of Agents as smart workers embedded in your decision flows - always on, always consistent, and always explainable.
Flexible by DesignAgents can be rule-based, ML-driven, or enhanced with GenAI - depending on the use case. Choose the right level of automation and intelligence for every scenario.
Context-Aware and ReusableAgents operate based on context and data in real time. Define once, reuse across multiple projects, and maintain consistent logic and behavior.
Fully IntegratedTrigger agents from workflows, APIs, or events (like Kafka or messages). Connect them with internal or external systems seamlessly.
AI-Enhanced CapabilitiesUse embedded LLMs or bring your own to enable summarization, recommendations, or even natural language responses - securely and transparently.
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