Improve trust by reducing fraudulence
Improve trust by reducing fraudulence
Leverage FinTech Power with
Predera AI
Slider
Image is not available

Fraud Detection
Image is not available

Fraud Detection

Deep learning based AutoEncoders for Fraud Detection.

Image is not available

Continuous Improvement
Image is not available

Continuous Improvement

Continuous Model Improvement to counterfeit fraudsters

Image is not available
Automated Insights
Image is not available
Automated Insights

Power Business with automated business intelligence report

Slider
Big Data in FinTech
Secure Access with Protection

Our data engineering involves mining data from mainframe in case of financial services operating on legacy systems along with line items from purchases, invoices, complaints, etc.,


We enforce strict privacy and regulatory guidelines with trust and safety as our core principle in mining financial data.

Image is not available
Slider
Image is not available
Loan Underwriting

Merchant Health is continuously analyzed for any irregular signals by ingesting financial data and credit bureau data and applying Natural Language Processing (NLP) to identify the cash flow pattern.


Our Fintech solution aims at Increasing customer lifetime value by underwriting more applicants while reducing frauds and complying with regulations and audits.

Slider
Fraud Detection

Over the course of time, fraudulent activities have gotten smarter to overcome the archaic obstacles and have also resulted occasionally in huge losses to companies in terms of monetary worth, brand value and user experience.

Our Fraud Detection Model identifies the users who tend to commit fraud while staying in the threshold limits of these rules and do not get detected otherwise.

Image is not available
Slider
Trends & Analytics
Image is not available
Image is not available

Our unified dashboard offers real-time insights along with any risk and fraud mitigation found in loan underwriting or credit card processing.


We support user friendly visualization tools with customizable option.

Slider
NLP to extract insights from support tickets
Case Study
Auto-Encoders For Fraud Detection
Case Study
Reduce Time To Resolution of User Acquisition Fraud in your Marketing Efforts
Case Study
previous arrow
next arrow
Slider