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Credit Scoring Model

Credit scoring software is used to build credit scoring models which estimate individuals' or businesses likelihood to pay their debts.

Modern credit scoring systems rely on a wealth of customer behavior and leverage latest machine learning models to predict this likelihood.

Challengers Specialists Leader s Contenders Market Presence Momentum
Popularity
Satisfaction
Maturity
Pricing

Compare Credit Scoring Models
Results: 8

AIMultiple is data driven. Evaluate 8 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the imgicon to learn how it is calculated based on objective data.

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2
0
0
0
0
20
Scienaptic Systems
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

2
0
0
0
0
20
Tala
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

2
0
0
0
0
20
LenddoEFL
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

8.759900009999
6
100
0
100
33.59900009999
top5 , top10
top5 , top10
4star
UpStart
4.00
100
100
100%
= 1 review
= 50 employees
= 100,000 visitors

2
0
0
0
0
20
underwrite.ai
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

2
0
0
0
0
20
GiniMachine
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

2
0
0
0
0
20
Equifax
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

2
0
0
0
0
20
ZestFinance
null
0
0
0%
= 1 review
= 50 employees
= 100,000 visitors

Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, credit scoring model is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 100% (22% more than average) of search queries in this area.

Web Traffic

Credit scoring model is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 100% (22% more than average solution category) of the online visitors on credit scoring model company websites.

Satisfaction

Credit scoring model is highly concentrated in terms of user reviews. Top 3 companies receive 100% (42% more than average solution category) of the reviews on credit scoring model company websites. Product satisfaction tends to be lower for more popular credit scoring model products. Average rating for top 3 products is 0.0 vs 4.0 for average credit scoring model product review.

Challengers Specialists Leader s Contenders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide credit scoring model is 205 which is 145 more than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 1 companies (47 less than average solution category) with >10 employees are offering credit scoring model. Top 3 products are developed by companies with a total of 101-500 employees. However, 1 of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

UpStart