Documentation
Product usage, analytical model, and generated artifacts
The official documentation describes how to use MathIAs+ Structural Intelligence Studio, including dataset preparation, job execution, clustering outputs, and artifact interpretation.
User guide
The complete user documentation provides a detailed description of the platform, including access, data requirements, clustering execution, and generated outputs.
The document covers deterministic clustering principles, execution workflows, access control, and auditability mechanisms.
Data and execution workflow
The platform operates on structured datasets in Parquet format, with numerical values only.
Analytical processing follows a controlled workflow: dataset upload, validation, configuration, and job execution.
Each execution produces deterministic results and complete analytical outputs.
Analytical artifacts
Each executed job generates a structured set of artifacts designed for decision-making, expert analysis, and audit requirements.
Artifacts include decision dashboards, clustering outputs, structured JSON data, and execution trace records.
Analysis schema
The analysis output follows a structured JSON schema designed to represent clustering evaluation across multiple values of K.
The schema supports reproducibility, interpretability, and integration into analytical workflows.
Access and governance
Access to the platform is provisioned through Azure Marketplace and managed via Microsoft Entra ID.
Role-based access control and subscription-level governance ensure controlled usage, traceability, and secure operations.
Responsible AI principles
The platform produces deterministic and reproducible outputs designed for transparency and auditability.
Analytical results support human-supervised decision-making. No automated decisions are enforced by the system.
For product overview and technical positioning, refer to the Home and Technology sections.