Every financial transaction is a nugget of data so the BFSI industry is sitting on a huge warehouse of data.
By using data science to analyse this big data, financial institutions can improve upon nearly every aspect of business. Our predictive analytics solutions in Fintech space enable targeted marketing and wealth management advice, fraud detection, higher lending with lower defaults and more – the potential is endless.
Our Insurance Apps
- Signature Application: Identifying signature on a document and matching it with a kyc document with confidence
- Handwriting Recognition: Devising a deep learning approach to detect handwritten text.
- Car Damage Detection: Identifying an area of car damage and describing the type of damage like crash, scratch, etc.
- Data Extraction in Thai Language: OCR for Thai car numberplates and car registration booklet.
- Auto Number Plate Detection: Detecting number plate on a car and using OCR to read it.
- Distracted Driver Detection: From the image determining whether the driver is distracted and recognizing the type of distraction.
- Automated Cheque Reading: OCR for reading cheque date and amount.
- Photo ID Verification: Giving confidence percent for match between current photo submitted for KYC with photo and official document.
- Machine learning on encrypted data:Performing predictions on encrypted data using a model previously trained on actual data.
- Loan delinquency Prediction: Delinquency prediction app helps to figure out loan defaulters based on financial data related to the loan and the customer.
- Churn Modeling and Recommender System : The relationship manager connects with the predicted dormant clients with the recommendation on stocks and Mutual Funds real time on the existing Apps and devices.
- Human Activity Tracking Detect and alert about phoning activity where it is strictly prohibited, like on the trading floors, etc.
- Named Entity Recognition (NER): Named entity recognitionis an important step towards information extraction that aims to detect and classify named entities in unstructured text into pre-defined categories such as the names of persons, organizations, locations, etc. NER API can automatically scan text articles (e.g. newspaper) and reveal the major people, organizations, and places mentioned in it.
- Sentiment Analysis: Sentiment analysis determine whether opinions expressed in sentences with modality are positive, negative, or neutral.
- Text Summarization: Text summarization is very helpful in many applications such as text classification, question answering, medical texts summarization, and news summarization.
- Email Sensitive Data Extraction: Every corporation has information sharing and security policies, which need to be adhered to by its employees as well as other stakeholders. The author of an email may share sensitive data intentionally or unintentionally, which raises a compliance issue and possibly a threat to an organization. The solution to detect potentially sensitive, private, and confidential data from an email could act as a gateway to sensitize the users and prevent a security breach.
- Pdf Table Extraction: Important information in the document is provided in tabular form to visually group and delineate the content so that it is highlighted for its content and context.The solution detects the tables in the document and then extracts the information from the table to convert it into a structured form in line with the table structure.This solution handles different types of tables in terms of business scenarios, templates used, formats applied, and useful in document processing workflows.
- Financial Data Extraction: There are different types of financial documents, which provide various details about the company's business performance. Some of this important information is provided in tabular formats, such as balance sheets, income statements, and cash flow statements. This solution detects and extracts the specific financial data from the document and enables its use for business analysis of the companies.
- KYC Verification: Know-Your-Customer (KYC) is an important business, regulatory and compliance process in many business transactions and information exchanges.The customer's identity is verified through various identification documents submitted by customer, which include different types and formats of customer information. This solution augments and assists the human-in-the-loop by extracting relevant identification data from different documents and compare them to verify the customer's identity.
- Hand-Writing Matching: Handwriting is an useful feature to identify an individual. Handwriting matching is useful in handwriting synthesis as well as handwriting analysis. These techniques are used in applications such as personalized feature extraction, forgery detection and forensic.
Solutions for banking and financial services companies.
- Credit Scoring
- Customer Analysis
- Fraud Detection & Identity Management
- Risk Management
- Accurate Decision Making
- Claims Management
- Customer Analytics
- Fraud Detection
- Health & Life Insurance
- Risk Management
InsurTech Services:
Insurers around the world are struggling with a host of challenges: consumer trust levels, competition, regulations, shrinking profitability and legacy IT issues. They also generate massive amount of structured and unstructured data. Predictive and optimization models and artificial intelligence enables insurers to drive business decisions. Insurers can then manage the entire lifecycle of a customer, from acquisition to lapse or claim and cross sale-up sale.
Presentations/Case Studies:
- Data Science for Retail Broking
- Application of Data Science in Financial Domain
- Our Product : Mutual Fund Predictor
- Claims Management using predictive analytics: A Case Study
- Life Insurance: A Case Study
Blogs
