Predict industrial risks
with AIRA
AIRA uses advanced machine learning models to analyze and predict risk criticality across industrial processes, machines, and equipment.
Risk Prediction
Select a field of activity and equipment to get top-10 risk predictions ranked by criticality score.
Data Exploration
Visualize the most critical activities and processes with interactive charts and statistics.
3 AI Models
Compare predictions from MLP, XGBoost, and FNN models and choose the best one for your use case.
Secure Access
User accounts with hashed passwords to keep your risk analysis data private and secure.
Models Used in AIRA
Multi-Layer Perceptron
A fully connected feedforward neural network that captures complex non-linear patterns using multiple hidden layers and backpropagation training.
Extreme Gradient Boosting
An optimized ensemble of decision trees using gradient boosting. Excellent for structured data, handles missing values, and includes built-in regularization.
Feedforward Neural Network
A neural network where data flows in one direction from input to output. Effective at approximating complex functions with sufficient training data.