FriendlyScore

lendingcredit scoring

FOUNDING YEAR: 2014
LOCATION:
Last Update: 05/07/2020

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About

FriendlyScore is a SaaS B2B credit-scoring platform that uses big data to assess credit risk. The model incorporates data from social media, mobile devices, bank transactions, third-party databases and other existing measures of creditworthiness. Using machine learning and artificial intelligence, FriendlyScore provides a more accurate estimate of credit risk than the traditional credit scoring method.

MEDICI Analysis

FriendlyScore is a SaaS-based B2B company that provides social media-based credit scoring for people. It scans a person's Facebook profile to uses semantic analysis to gather data points like education, employment residential history, social network strength, behavioral, communication and lifestyle patterns. It provides APIs which can be integrated into a lender's system and augment the credit score that has been generated by using other scoring methods.

Focus

PRODUCTS & SERVICES

The company provides alternative social credit scoring platform for businesses and individuals using big data from different sources (social media, Google, Microsoft accounts, etc.). It evaluates credit risk, credit default and performs screening.

REVENUE MODEL

FriendlyScore builds revenue by charging its clients for each score performed with the technology, and prices typically lie in the £0.2-3 spectrum. The price mainly depends on the geographical location and the volume of scores performed by the client. In addition, FriendlyScore charges for personalized product integration, starting at £5,000 for signing the White Label licence, and starting at £25,000 for Enterprise integration, as developers require a longer period for product development and customization.

MAIN CLIENTS

Financial institutions

EXISTING PARTNERSHIPS

Partnering with alternative and online lenders to expand their market and ultimately to improve their credit decision-making capabilities.

PRIMARY PROBLEM SOLVED

Helping the underbanked access the credit market through alternative means of credit scoring.

INTELLECTUAL PROPERTY

Patent(s) NOT_FILED

COMMENT

FriendlyScore uses over 820 variables to analyzes customer social profiles data to generate their creditworthiness.

Traction

VALUATION / MARKET CAP:

$1.73 M in 2016

REVENUE

$100k - $499

REVENUE COMMENT:

The recent annual value is a forecast based on the average revenue we are making per month in 2017.

NUMBER OF TRANSACTIONS:

35.00

TRANSACTIONS VALUE:

10 K

TRANSACTIONS COMMENT:

The platform used by 62 lenders and issued loans worth up to $5.7 M(March 2017).

ACTIVE USERS:

35

ACTIVE USERS COMMENT:

35 B2B clients.

TRACTION COMMENT:

FriendlyScore is currently operating with a European point-of-sale e-commerce credit provider, two European P2P lenders, and a South African P2P lender, and is piloting with many other alternative platforms and digital banking services in the UK, Europe, Brazil, Southern Africa and India.

People

FOUNDERS

Emilian Siemsia

Maciej Dolinski

Gideon Valkin

BOARD MEMBERS AND ADVISORS

Zbigniew Czapran

Maciej Dolinski

Alex Hoppenbrouwers

Emilian Siemsia

Mohammed Jamal

NUMBER OF EMPLOYEES

11-50

INVESTORS:

Eaton Hill Advisory Limited

Eaton Hill Advisory Limited

Eaton Hill Advisory Limited

Eaton Hill Advisory Limited

Mercia Fund Management

Mercia Fund Managers

Mercia Fund Managers

Mercia Fund Managers

MJ & FAMILY UK LIMITED

Startupbootcamp

Startupbootcamp

Startupbootcamp

Startupbootcamp

Startupbootcamp FinTech London

Startupbootcamp FinTech London

Startupbootcamp FinTech London

Startupbootcamp FinTech London

Venture Inc S.A.

Zbigniew Czapran

Zbigniew Czapran

Zbigniew Czapran

Zbigniew Czapran

KEY EMPLOYEES:

Natalia Lyarskaya

Loubna Bazine (CEO); Emilian Siemsia (CTO); Gideon Valkin (COO)

COMMENT:

The team is made up of people with years of experience,we are all extremely passionate about our concept.

Momentum

FUNDED

YES

TOTAL FUNDING

$380 K

DATE OF LAST FUNDING

Feb 2018

SEED & PRIOR FUNDING

$380 K

LISTED

NO

For Investors

USES OF FUNDS RAISED:

1. Salaries for Data Scientist

EXIT STRATEGY

The main exit route is through an acquisition by a large data analytics company or credit reference agency

COMPETITORS:

Lenddo

Big Data Scoring

Hellosoda

Aire

Innovation Programs

BASICS

FOUNDING YEAR:

2014

LOCATION:

Views:

251 VISITORS | 463 VIEWS
LATEST FUNDING ROUND

$380 K

TOTAL EMPLOYEES
11-50

About

FriendlyScore is a SaaS B2B credit-scoring platform that uses big data to assess credit risk. The model incorporates data from social media, mobile devices, bank transactions, third-party databases and other existing measures of creditworthiness. Using machine learning and artificial intelligence, FriendlyScore provides a more accurate estimate of credit risk than the traditional credit scoring method.

Subscribe to the MEDICI Inner Circle Membership and gain access to an exclusive Slack community where you can engage in discussions with global industry experts!

MEDICI Analysis

FriendlyScore is a SaaS-based B2B company that provides social media-based credit scoring for people. It scans a person's Facebook profile to uses semantic analysis to gather data points like education, employment residential history, social network strength, behavioral, communication and lifestyle patterns. It provides APIs which can be integrated into a lender's system and augment the credit score that has been generated by using other scoring methods.

Focus+
Momentum+
Traction+
People+
For Investors+
Other+

Innovation Programs

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FriendlyScore

About

FriendlyScore is a SaaS B2B credit-scoring platform that uses big data to assess credit risk. The model incorporates data from social media, mobile devices, bank transactions, third-party databases and other existing measures of creditworthiness. Using machine learning and artificial intelligence, FriendlyScore provides a more accurate estimate of credit risk than the traditional credit scoring method.

Focus

PRODUCTS & SERVICES

FriendlyScore is offered to clients on a monthly subscription basis, and splits into three service categories, each with its own cost level of integration and support: SaaS (Software as a Service), which can be seen as a plug-and-play service whereby a client redirects a borrower to our site via a link or widget. The borrowers proceed to score themselves and the client retrieves the score via an API. This category aims at small and micro lenders. White Label , where FriendlyScore is built-into the client’s existing architecture, and functions as a secure and licensed black box in their systems. There is also a customized front-end and easy access to raw data and hard scores for the White Label users. Enterprise , where on top of services offered in the White Label package, the solution comes with a complete customisation and a dedicated tech support, allowing clients to fully understand and utilize the model.

REVENUE MODEL

FriendlyScore builds revenue by charging its clients for each score performed with the technology, and prices typically lie in the £0.2-3 spectrum. The price mainly depends on the geographical location and the volume of scores performed by the client. In addition, FriendlyScore charges for personalized product integration, starting at £5,000 for signing the White Label licence, and starting at £25,000 for Enterprise integration, as developers require a longer period for product development and customization.

TOP PROBLEM SOLVED

Helping the underbanked access the credit market through alternative means of credit scoring.

PRODUCT DEVELOPMENT STAGE

COMMERCIAL LAUNCH

PRODUCT DEVELOPMENT COMMENT

Our product has great scope for development and we are looking to expand into new industries in the near future.

KEY DIFFERENTIATORS

Easy and Quick Integration Borrower Conversion Advisory White Label Solution Machine Learning

PRIMARY CUSTOMER TYPE

Enterprise - Banks or Financial Institutions

Small And Medium Business - Other

PRODUCT ATTRIBUTES

SaaS

White label

STRATEGIC CLIENTS AND PARTNERSHIP

Bajaj Finserv : Client

Reliance Capital : Client

Mobicred : Client

People

FOUNDERS

Emilian Siemsia

Maciej Dolinski

Gideon Valkin

NUMBER OF EMPLOYEES

11-50

KEY EMPLOYEES:

CEO: Loubna Bazine

CTO, FOUNDER: Emilian Siemsia

Chief Data Scientist: Natalia Lyarskaya

employee: Loubna Bazine (CEO); Emilian Siemsia (CTO); Gideon Valkin (COO)

FOUNDER: Maciej Dolinski

FOUNDER: Gideon Valkin

TEAM COMMENT:

The team is made up of people with years of experience,we are all extremely passionate about our concept.

BOARD MEMBERS AND ADVISORS:

Zbigniew Czapran, Maciej Dolinski, Alex Hoppenbrouwers, Emilian Siemsia, Mohammed Jamal

INVESTORS:

Eaton Hill Advisory Limited

Eaton Hill Advisory Limited

Eaton Hill Advisory Limited

Eaton Hill Advisory Limited

Mercia Fund Management

Mercia Fund Managers

Mercia Fund Managers

Mercia Fund Managers

MJ & FAMILY UK LIMITED

Startupbootcamp

Startupbootcamp

Startupbootcamp

Startupbootcamp

Startupbootcamp FinTech London

Startupbootcamp FinTech London

Startupbootcamp FinTech London

Startupbootcamp FinTech London

Venture Inc S.A.

Zbigniew Czapran

Zbigniew Czapran

Zbigniew Czapran

Zbigniew Czapran

Momentum

FUNDED

YES

TOTAL FUNDING:

$837 K

LISTED

NO

FUNDING SERIES
Seed Mar 2017 --- USD837 K Comment on Seed There were 6 rounds of funding in which there are 7 investors. Eaton Hill Advisory Limited Mercia Fund Management