What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in credit scoring model category. Our data sources in credit scoring model category include;
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.
If you’d like to learn about the ecosystem consisting of Credit Scoring Model and others, feel free to check AIMultiple Financial Services.
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We use the data sources on the side for ranking solutions and awarding badges in credit scoring model category. Our data sources in credit scoring model category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
UpStart
Equifax
Tala
GiniMachine
ZestFinance
Taking into account the latest metrics outlined below, these are the current credit scoring model market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
UpStart
Equifax
Tala
ZestFinance
LenddoEFL
These are the number of queries on search engines which include the brand name of the solution. Compared to other Financial Services categories, Credit Scoring Model is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 100%, 25% more than the average of search queries in this area.
205 employees work for a typical company in this solution category which is 184 more than the number of employees for a typical company in 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 with >10 employees are offering credit scoring model. Top 3 products are developed by companies with a total of 205 employees. The largest company building credit scoring model is UpStart with more than 200 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
UpStart
Tala
Equifax
GiniMachine
LenddoEFL
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Credit Scoring Model companies. The most positive word describing Credit Scoring Model is “Easy to use” that is used in 4% of the reviews.
According to customer reviews, most common company size for credit scoring model customers is 1-50 Employees. Customers with 1-50 Employees make up 54% of credit scoring model customers. For an average Financial Services solution, customers with 1-50 Employees make up 52% of total customers.
These scores are the average scores collected from customer reviews for all Credit Scoring Models. Credit Scoring Models is most positively evaluated in terms of "Likelihood to Recommend" but falls behind in "Value For Money".
This category was searched on average for 1.6k times per month on search engines in 2022. This number has decreased to 1.3k in 2023. If we compare with other financial services solutions, a typical solution was searched 419 times in 2022 and this increased to 480 in 2023.