Manthan Platform

Manthan provides a user-friendly experience through an AI-powered voice and text interface, simplifying complex analytics.

The platform offers sophisticated analytics made easy with a unique interface and a prescriptive framework for on-the-go decision-making.

Engineered for high scale and security on the cloud, it natively runs on Big Data/Hadoop and connects to major business and consumer systems.

Machine learning is embedded to build models for autonomous decision-making, enhanced with business-context aware visualizations.

Manthan specializes in retail and consumer businesses, leveraging 12 years of domain expertise to address the specific needs of various roles within these industries.

The platform facilitates a complete insight-to-execution framework, ingesting data in real-time, processing models, and making insights readily available for applications.

Achieved through stream processing and micro-batching, using frameworks like AWS Kinesis, Spark Streaming, Apache Storm, and Apache Flink.

Real-time data processing triggers actions based on real-time data input using event-driven programming and services like AWS Lambda or Azure Functions.

Manthan allows for the consumption of data in real-time, crucial for end-consumer systems, utilizing services such as AWS API Gateway or Azure API Management.

Offers ready-to-use, advanced algorithms.

Allows users to investigate data and integrate their own algorithms.

Provides a user-friendly layer where business users can input assumptions for model generation.

Initiates infrastructure based on the requirements of the algorithms.

Includes clustering, classification, regression, association mining, and recommendation systems.

Provides the necessary resources for data scientists to create their own models.

Enables the deployment and real-time execution of finalized models.