Optimize: Time, Costs and Risks

We help banks and financial services institutions mitigate their risks, cope up with challenges in generating revenue and face competition from Fintech companies by providing real time, deeper and faster insights.

Sales Opportunities
KnowYourCustomer
Sentiment Analysis

Regulations Compliance

Customer Lifetime Value

FraudRisk Management

Real-time Data   Big Data

RegI: AI based regulatory tool for managing Risk and Compliance

RegI helps organizations reduce costs and risks of tracking regulations and amendments. It is an intelligent Regulations repository using Financial Ontology to fetch news and events impacting regulations.

RegI is a cloud based platform that maps the typical workflow of a regulatory specialist by automatically sectioning, summarizing, and assessing the areas of impact of a regulatory document and its various versions. It continuously monitors for changes and updates of different financial regulatory bodies, proposals, initiatives as well as rules and regulations consultations and discussion papers issued by the relevant authorities.

RegI helps to identify and understand regulatory requirements, improve efficiency at addressing compliance requirements, and reduce the risk of misconduct. It can help to stay one step ahead of an ever-changing regulatory environments.

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The RegI Approach

We continuously crawl and aggregate regulatory data from various data sources. We have a growing repository of data across regulations, related news and events impacting regulations.

 

We use machine learning models and text analytics to generate insights at different levels and provide features like compare across various versions.

 

We present all the information in an intuitive and interactive user interface.

Your benefits from RegI

Our platform saves you considerable time and effort from collecting and updating the same information from different sources manually.

 

You receive instant availability of insights across deep, dense and diverse data sets for taking informed decisions on impact of a regulation on your operations.

 

You improve efficiency at addressing compliance, while reducing the risk of misconduct requirements.

 

You get an easy to use, cloud-based decision support system.

Clive: One stop platform for evaluation of Customer Lifetime Value

Clive evaluates Customer Lifetime Value (CLV) in order to develop sales strategies using real-time, multi-dimensional customer behaviour insights.

 

It uses rich ontology and entity normalization framework to aggregate data from CRM and other various external data sources like social media, surveys, Google Analytics etc. Clive adds a layer of descriptive analytics with more than twenty KPIs & visualizations, with numerous filters to deep-dive.

 

The platform enables continuous decision making capability with real-time data integration from all sources and  automated analysis with options to run an appropriate campaign for any chosen geography, segment, product etc.

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The Clive Approach

We continuously crawl and aggregate real-time data from various internal and external data sources like social media, surveys, Google Analytics, etc.

 

We use machine learning models and descriptive analytics to generate insights at different levels.

 

We present all the information in an intuitive and interactive user interface with numerous filters to deep-dive.

Your benefits from Clive

Our platform saves you considerable time and effort from collecting and updating the same information from different sources manually.

 

You drive up ‘Customer Lifetime Value’ by providing real-time in-depth analysis of current customer base, based on their personal, transactional & behavioral attributes

 

You receive instant availability of insights across deep, dense and diverse data sets for developing your sales strategies & customized targeted campaigns.

 

You get performance metrics along with prescriptive measures.

Master Person Index: Customer Identity Discovery

Our Master Person Index Tool helps financial institutions discover identities around specific attributes, resolve them to unique identities and map them to a financial institution’s customer data with high confidence.

 

The tool generates customer insights at micro level and enables decision making regarding customer loyalty, retention and upselling. Taking the right action from this information can lead to improved customer satisfaction levels.

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The Master Person Index Approach

We continuously crawl and aggregate real-time data from various internal and external data sources like social media, surveys, Google Analytics, etc.

 

We use machine learning models and descriptive analytics to generate insights at different levels.

 

We present all the information in an intuitive and interactive user interface.

Your benefits from Master Person Index

Our platform saves you considerable time and effort from collecting and updating the same information from different sources manually.

 

You get customer insights at micro level.

 

You make enabled decisions regarding customer retention and upselling.

 

You receive instant availability of insights across deep, dense and diverse data sets matched with your customer data.

The Technology behind

Our proprietary CAAV (Crawling, Aggregating, Analysis and Visualization) framework is based on a few founding pillars of patent pending technologies. Have a look at our technology that is revolutionizing Life Sciences industry.

Machine Learning and Artificial Intelligence

  • Training machines to learn pattern for information extraction
  • Building reasoning system to serve intent of user queries
  • Reducing irrelevant page hits by building autonomous agent for crawling using reinforcement learning

Network Analysis

  • Modelling and persisting the entire data set as a network for real time analysis

Ontologies

  • Mapping all discoverable concepts from content of all major data sources in the base ontology
  • Building a recommendation engine for similar articles, results, searches, concepts etc

Computer Vision/Image Recognition

  • Leverage image processing to support multiple formats of PDF and image files for better extraction of specific text elements from web

Entity Normalization

  • Increasing the precision to discover entities even with sparse meta data
  • Leverage crawled data to improve normalization

Mobile and Blockchain

  • Android and iOS apps for kPlexusTM, Intervention view, Gene view and Clinical Trial toolbox
  • Developing a module to leverage the mobile CPUs for native analytics.
  • Experiments using Blockchain and Smart contracts in various industries

Network Analysis

Modelling and persisting the entire data set as a
network for real time analysis; Developing module for streaming network analysis

Ontologies

Mapping all possible discoverable concepts from
content of all major data sources in the base ontology; Building a recommendation engine for similar articles, similar results, etc.

Mobility

Android and iOS apps for kPlexusTM, Intervention
view, Gene view and Clinical Trial toolbox
Developing a module to leverage the mobile CPUs for native analytics

Entity Normalization

Increasing the precision further for being able
to discover entities even with sparse meta data; Enhancing the module such that its able to leverage more and more of the crawled data to improve normalization

Computer Vision

Enhancing the scope further to support more
and more formats of PDF and image files; Leveraging image processing for better extraction of specific text elements from web pages

Universal Crawler

Local crawling infrastructure – scalable up to 500TB to perform real time and enhance performance to millions of pages per day

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