Automate the process of building ML models
Get visual explanation for model prediction
Manage end-to-end ML pipelines
PredictSense democratizes AI for every individual in the organization and creates a simple,
platform to seamlessly manage critical ML deployments.
Connect with various data sources to get your structured / unstructured
data loaded into PredictSense for further processing, analysis and model training
Process the data using automated data preparation and feature engineering, along with an option for custom feature generation. Select a prediction variable for model building
Select ML algorithms from a given list and generate multiple models from the given data and prediction variable selected previously
Evaluate best model based on their accuracy scores and standard performance metrics, along with deep insights from graphs
Start getting predictions by deploying the best model as a complete container. Deploy it as a standalone web application along with an option to integrate using APIs
Connect to any data source
Pull Structured and unstructured data
Handle missing values and outliers with various imputation strategies
Advanced visual reports
Extract and transform various data formats like pdf, html
Schedule data pulls to keep data updated
Create custom code for data analysis and preparation
Reports and Visualization
Model accuracy score, losses etc.
Performance plots confusion matrix, Lime Explanation, ROI-AUC etc.
What if analysis provision by varying the input feature and generating predication.
One click deployment
Deploy models to any production environment easily
Performance degradation Identification by comparison the training data and new data
Strategize to keep model up to date for consistent performance
Share and manage your data and project
Share code for experiment reproducibility
With innovation speeding in leaps and bounds, it is important to democratize technology to extract maximum business value and drive sustained digital transformation. PredictSense is an intuitive ML platform that facilitates the necessary access to technology and helps your internal teams efficiently collaborate on multiple business models with speed and scale.
Work with a Python and Jupyter
Build quality models with a clear focus on data science
Deploy and monitor models in
Simplify tasks with a visual drag and drop and a clickable UI
Build multiple models simultaneously
Deploy to production endpoints with a
Achieve high productivity for data and
Reuse, re-share, and export models
Collaborate and govern the MLOps