Automatic Learning
Multiple machine learning models are created from your data and we select the most accurate model.
Automatic Learning
- Import and process dataset
- Split data for training & testing
- Train multiple models in parallel
- Test models for accuracy
- Keep best model for deployment
Model Deployment
The selected model can be deployed so you can consume predictions via a RESTful API call.
Model Deployment
- Automatically create model
- Enable model for deployment
- Create application API keys
- Consume model via RESTful API
- Integrate AI into applications
Dataset Storage
Your datasets are encrypted and kept in a hybrid cloud with high availability storage providers.
Dataset Storage
- Upload your CSV datasets
- Select output/target column
- Automatically create model
- Upload additional datasets
- Continuously train existing model
Continuous Training
Keep your model updated by training it with new data records so it keeps learning as time goes on.
Continuous Training
- Collect new application data
- Send data to gnostic.ai
- Retrain the model with new data
- New "winning" model is selected
- Get improved predictions