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MotionScore

MotionScore is an innovative platform designed to enhance credit scoring and default prediction by analyzing human motion data.
MotionScore

What is MotionScore?

MotionScore is an innovative platform that leverages cutting-edge AI algorithms to analyze signature patterns, motion data, and user interactions with mobile devices. By scrutinizing this multi-faceted data, MotionScore can identify hidden patterns and generate accurate credit scores, enabling financial institutions to manage risk based on anonymized data.

The Core Philosophy: Body Language in Credit Scoring

MotionScore’s approach is grounded in recognizing that body language, in the form of signatures, motion, and user interactions, can reveal underlying behaviors and characteristics that are directly relevant to creditworthiness. For example, the pressure applied during a signature or unique patterns of device interaction may provide insights into education levels. By extracting and considering these factors, MotionScore offers a nuanced and effective tool for credit scoring.

Why Does MotionScore Work?

The key to MotionScore’s success lies in its ability to deliver improved accuracy and enhanced predictive power compared to traditional methodologies. By analyzing signature patterns, motion data, and user interactions, MotionScore uncovers previously untapped sources of predictive power, particularly useful for default prediction. The platform’s comprehensive approach enables it to achieve more accurate and nuanced credit scoring.

How MotionScore Revolutionizes Risk Prediction

Let’s take a look at a real-life use case illustrating how MotionScore transforms credit risk assessment:

STEP #1: Client applies for credit

A person applies for credit at a financial institution, providing the required financial data and digitally signing the paperwork.

STEP #2: Extracting data from e-signature

MotionScore extracts data from the person’s signature, supporting more accurate risk prediction. For instance, individuals with lower education levels may exert more pressure while signing, which may correlate with a higher likelihood of default.

STEP #3: Risk assessment with new metrics

The credit risk specialist incorporates MotionScore’s additional, state-of-the-art metrics into the risk assessment process to reach the most accurate prediction and minimize the cost of default.

With a proven track record, numerous industry awards, and millions of biometric profiles assessed, MotionScore is poised to revolutionize credit scoring and default prediction. Whether you seek improved accuracy, enhanced predictive power, or real-time default predictions, MotionScore’s robust features and customizable risk parameters have got you covered.

Financial institutions can seamlessly integrate MotionScore into their existing systems and workflows. The platform allows them to incorporate motion, signature, and interaction data into predictive analysis effortlessly, either independently or in conjunction with existing methodologies. Furthermore, MotionScore offers customizable risk parameters, allowing businesses to tailor their risk factors and thresholds according to their unique needs.

Projects evaluation criteria

Level of Impact
40%
Scalability
30%
Transparency
20%
H-Factor
10%

Impact

99%

Scalability

99%

Transparency

100%

H-Factor

99%

Overall Score

100%

Voices of the Community

19 Votes
VoterImpactScalabilityTransparencyH-FactorOverall
A
akosmolnar
10 10 10 10 10.00
M
Freddy Fazbear
10 10 10 10 10.00
T
tzelczer@yahoo.com
10 9 10 10 9.75
Z
zoliGA
10 10 10 10 10.00
O
OlgaT
10 10 10 10 10.00
N
nora
10 10 10 10 10.00
K
Ktzsuzsi
10 10 10 10 10.00
B
gbence
10 10 10 10 10.00
T
ci_worker_25
10 10 10 10 10.00
J
szticccs
10 10 10 10 10.00
C
hcs42
10 10 10 10 10.00
D
hegedenes
10 10 10 10 10.00
D
denessapi
10 10 10 10 10.00
F
DrenFanni
10 10 10 10 10.00
R
rita.gergely
10 10 10 10 10.00
M
Mate Palicz
9 10 10 9 9.50
molnarakos17
10 10 10 10 10.00
Agneschripko
10 10 10 10 10.00
B
csalint
10 10 10 10 10.00

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