Innovation

Smartstorify is a one-of-a-kind product that analyzes unstructured data with an AI engine and streamlines data storage management, whether on-premises or in the cloud. The unique patented LLM at the core of the product opens up a new era of organizational data storage management.

Compared to our competitors, we are not retrofitting AI into an existing conventional solution for data storage management but have built a new one with AI considerations from the ground up.

ARIMA (AutoRegressive Integrated Moving Average): This model helps capture trends, seasonality, and noise in time-series data.

Statistical Methods such as Standard Deviation & Variance: These are fundamental measures of volatility that quantify the dispersion of data points..

LSTM (Long Short-Term Memory) Networks: A type of recurrent neural network (RNN) that is effective in capturing temporal dependencies and can model volatility in sequential data.

Random Forest & Gradient Boosting: These ensemble methods can identify patterns and anomalies in data that contribute to volatility.

PCA (Principal Component Analysis): This method reduces the dimensionality of data, making it easier to visualize in a heatmap.

Gaussian Mixture Models (GMM): These models are useful for capturing complex data distributions and can effectively model volatility.