Inside the workbench.
AIMU puts your spatial data, preprocessing, modeling, and analysis into one desktop workflow — so you stop switching tools to get one job done. Everything below runs on your own hardware: your data, your models, your experiments.
🗺️ Native GIS + AI Integration
From satellite to neural network, in one app. Stop switching tools. AIMU speaks both “Shapefile” and “TensorFlow” fluently — multi-raster sampling, coordinate alignment, and spatial visualization sit inside the same workflow as your machine-learning pipeline.
🔐 Data Sovereignty (Local-First)
Your hardware. Your data. Your sensitive datasets and proprietary models never leave your machine. We use the cloud only to verify your license. Ideal for healthcare, finance, and verified research where privacy is non-negotiable.
📊 Data Management & Preprocessing
Import CSV, Excel, JSON, and geospatial datasets with real-time validation, then prepare them inside the same workflow: missing-data handling, feature encoding, scaling, engineering, dimensionality reduction (PCA, LDA), and wavelet transformations for signal processing.
🤖 Transparent Modeling
Build models you can defend. Configure the exact architecture for your task — Random Forest, SVM, CNN, LSTM, GRU, or Time-Series Transformers — with every setting visible. Results are explainable, citeable, and reproducible from the saved project.
⚡ Experiment Tracking & Comparison
Keep every run on the record. Compare models and configurations side by side with clear evaluation metrics. Built-in tuning (Bayesian Optimization, Random Search, learning-rate scheduling, early stopping) runs inside the same project, so optimization never leaves your workflow.
📈 Advanced Visualization & Analysis
Interactive statistical plots, correlation analysis, time-series visualization, and distribution analysis. Model performance metrics with confusion matrices, ROC curves, feature importance, and training history. Publication-quality plots with Matplotlib and Seaborn integration.
💼 Project Management
Complete project organization with save/load functionality and model management. Export/import capabilities for sharing projects and comparing model performance across multiple training runs.
Technical Specifications
System Requirements
Windows 10/11 (64-bit)
8GB RAM minimum (16GB recommended)
2GB storage for models and data
Technology Stack
Python 3.8+ with TensorFlow/Keras, scikit-learn
PySide6 (Qt6) native desktop interface
Cloud-based license verification
Supported Formats
CSV, Excel, JSON, GeoTIFF
Shapefile, GeoJSON, KML
TensorFlow SavedModel, Keras H5, Pickle
Use Cases
Geospatial Research, Time Series Analysis
Environmental Science, Agriculture
Academic Research, Data Exploration
Ready to try the workbench?
Install AIMU on your Windows machine and run spatial data, modeling, and analysis in one local workflow — no tool-stitching, no data leaving your hardware.
Download AIMU See plans