• Version 1.8
• Sold by Mphasis

This is a trainable algorithm which detects and recognizes faces of individuals on which the model is trained.

• Version 2.1
• Sold by Mphasis

This solution analyzes images of road surfaces and predicts whether they have damages like cracks, potholes, etc. or not.

• Version 3.4
• Sold by Mphasis

A quantum simulator based Recommender System for cross-sell recommendations of products.

• Version v1
• Sold by Mphasis

Solution enhances the search for specific business processes by accounting for language and intents of different user roles in the domain.

• Version V1.3
• Sold by Mphasis

This solution identifies data belonging to the same entity/duplicate records across two data sources and creates a linked master dataset.

• Version 3.0
• Sold by Mphasis

Machine learning based service desk ticket triaging model to improve accuracy of ticket assignments and thereby improve FCR and MTTR.

• Version v-3.5
• Sold by Mphasis

Restaurant Reviews Topic Extraction is a deep learning algorithm which can extract up to 14 types of aspects from restaurant reviews.

• Version 1.0
• Sold by Mphasis

The solution uses a Double - Hard DeBias Algorithm to remove targeted biases from the vector space representation of a text corpus.

• Version 1.4
• Sold by Mphasis

Explainable AI solution that identifies algorithmic bias and thereby incorporate AI fairness

• Version 1.1
• Sold by Mphasis

The solution predicts which customers are more likely to discontinue their existing insurance policies with the provider.