Real-Time Identity Verification with RiskSeal Digital Credit Score

Alongside collecting 300+ data points through digital footprint analysis, RiskSeal provides advanced identity verification solutions.

Each transaction comes with unparalleled AI Face Recognition, Name Match, and Location Insights analysis in real-time.

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AI Face Recognition analysis

During onboarding, RiskSeal verifies a customer's identity by comparing a selfie or ID photo with profile pictures found across social media and messaging platforms.

Common inconsistencies include:

No matching photos across various platforms
The presence of completely different individuals

In such cases, the customer may be flagged as suspicious and assigned a high-risk rating.

Location Insights

For advanced location intelligence, RiskSeal processes three different sources of location data: IP address, physical location, and GPS coordinates. Cross-matching the information from these sources can bring unique insights into the digital transaction.

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

IP analysis

Analyzing borrowers’ IP addresses, RiskSeal gets a set of different addresses, including:

Device location
Selfie location
Home address
IP address geolocation
Location identified via digital footprint

RiskSeal compares the received information and uses the data to identify inconsistencies in the provided locations

Physical address and GPS coordinates

RiskSeal offers precise location details for buildings and facilities, indicating whether they are residential or commercial, along with specific types (e.g., hotel, bar, gas station).

In addition, RiskSeal provides statistical data on local crime rates and household incomes for specific areas.

Boost loan approval rates x2 with smart identity verification

Name Match analysis

Profile Names Verification

RiskSeal checks an applicant's name against their profiles on various social and digital platforms, considering spellingvariations and cultural differences.

Inconsistency Identification

Using different names across platforms can be a red flag, suggesting the use of someone else's credentials or false information.

Complete your traditional data with
digital footprint insights

Boost your customers approval rates x2

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

Creditworthiness assessment

Use 300+ data points and solvency metrics to identify creditworthy customers.

Proprietary AI algorithms for identity verification
Real-time identity check across 140+ online platforms

Onboarding and KYC

Save up to 70% of your KYC budget with effective pre-KYC identity checks.

No need for traditional ID checks
Advanced verification via face, name, and location insights

Streamlined loan processing

Accelerate your loan processing time from days to mere seconds.

5 seconds for credit decision making
Significant data enrichment of scoring models

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