Enhance Credit Risk Assessment with Digital Footprint Analysis

Receive warning signals to block bad actors and seamlessly approve invisible primes.

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Benefits of advanced risk assessment

Improved accuracy in risk evaluation

Get 300+ insights about each applicant to create accurate risk profiles and predict defaults precisely.

Increased approval rates

Increase approval rates by up to 30% by optimizing credit scoring models and enhancing underwriting processes.

Enhanced fraud detection

Prevent fraudulent activities with real-time checks and save up to 30% on yourKYC budget.

Achieve 20x ROI with accurate risk assessment

Complete your traditional data with
digital footprint insights

AI-driven risk assessment techniques by RiskSeal

RiskSeal's risk assessment solution utilizes advanced digital verification techniques to evaluate the creditworthiness and trustworthiness of applicants.

By harnessing data from over 140 online platforms and employing AI-driven analytics, RiskSeal provides an in-depth analysis and generates a Digital Credit Score to support informed lending decisions.

Digital footprint analysis for user

Digital data collection

Conduct an analysis of digital footprints and examine emails, phone numbers, and IP addresses. Get 300+ data points to build customers’ digital profiles.

Real-time email and phone number scanning

Instantly filter out temporary and non-existent email addresses and phone numbers, ensuring only valid contact information is considered.

Identity verification

Verify the applicant's identity through cross-referencing their face, name, and location, ensuring accurate and reliable identification.

360-degree user view

Generate a holistic view of the user by combining digital credit scores, trust scores, and various behavioral and solvency metrics for a complete assessment.

Predictive power increase

Achieve a significant increase in predictive accuracy, with an AUC result of 83%, enhancing the reliability of your evaluations.

Custom features

Access over 300 explainable data points to create tailored features that align with specific market needs and population characteristics, maximizing model uplift.

Improving risk evaluations and lending decisions

Approved customer base growth

Identification of trustworthy customers from high-risk ones, even with low or no credit rating.

Differentiate risk with data analysis
Identify creditworthy clients with minimal history

Proactive default prevention

Stop defaulting loans before they happen and avoid the cost of debt collection, or loss from no repayment.

Predict defaults with advanced analytics
Enhance risk profiling with behavioral data

Credit risk reduction

Real-time, accurate, and extensive data to spot default risk, even in underbanked areas or without access to a credit bureau.

Utilize diverse data for risk insight
Advanced algorithms for underserved market assessment

Improved credit risk assessment

Leverage 300+ data points for each applicant, reducethe likelihood of defaults, and increase the reliabilityof credit scores.

Integrate alternative data for a detailed borrower profile.
Enhance the accuracy of risk evaluations.

Gain competitive advantage

Enhance the predictive power of credit scoring models with alternative data. Forecast future credit behavior better, attract more customers, and increase profits.

Improve lending decisions with advanced analytics.
Gain market advantage with superior risk assessment models.

Increased financial inclusion

With digital footprint analysis, identify creditworthy individuals who might be overlooked by traditional methods.

Broaden customer base by including those with limited credit history.
Utilize digital footprints to create digital credit scores.

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