Simplismart is a no-code AI platform that is primed to simplify the lifecycle management of machine learning models. It empowers researchers and businesses to build and deploy machine learning models with ease. Its power to unite low-level APIs along with AutoML, provides an intuitive, transparent, and flexible model building experience addressing data ingestion, model training, performance tracking, model deployment, model evaluation, model explanation, and real-time performance monitoring.
- SimpliIngest: Supports easy data importing from various formats and data sources, removing the struggle with data integration, cleaning, and analysis.
- SimpliTrain: This feature facilitates training of deep learning models on any dataset using declarative interfaces and auto-generated configurations. It predicts the best configuration to train based on data type detection.
- SimpliTrack: Allows robust monitoring and analysis of training model performance. It highlights key metrics and parameters for all experiments in place, aiding identification of trends, performance comparison, and problem detection.
- SimpliEvaluate: Grants permission to assess custom models on diverse datasets to comprehend performance and reliability under variable conditions.
Simplismart is a no-code AI platform that is primed to simplify the lifecycle management of machine learning models. It empowers researchers and businesses to build and deploy machine learning models with ease. Its power to unite low-level APIs along with AutoML, provides an intuitive, transparent, and flexible model building experience addressing data ingestion, model training, performance tracking, model deployment, model evaluation, model explanation, and real-time performance monitoring.
- SimpliIngest: Supports easy data importing from various formats and data sources, removing the struggle with data integration, cleaning, and analysis.
- SimpliTrain: This feature facilitates training of deep learning models on any dataset using declarative interfaces and auto-generated configurations. It predicts the best configuration to train based on data type detection.
- SimpliTrack: Allows robust monitoring and analysis of training model performance. It highlights key metrics and parameters for all experiments in place, aiding identification of trends, performance comparison, and problem detection.
- SimpliEvaluate: Grants permission to assess custom models on diverse datasets to comprehend performance and reliability under variable conditions.