Solvency analysis:
No more risk of non-payment!

Natural and legal persons
Categorization and aggregation of data via open banking to define a prediction score

Move forward with your confidence with your customers. Our solution makes it easier for you to make decisions for both natural and legal persons.

Reduce the risk of fraud by 4 thanks to plug and play

Verify the identity of a company, an applicant and its creditworthiness

of transactions categorised

to obtain a delinquency prediction score


to analyse the creditworthiness of a profile

Profiling and scoring for your growth

Get an automated award decision in less than 5 seconds

Solvency analysis

Secure your sales so that you can concentrate on your core business, with complete peace of mind

Meelo takes care of collecting all the elements necessary to analyse the creditworthiness of individuals or companies.

Thanks to open banking and the categorization of financial data operated by our machine learning and artificial intelligence models, our approach makes it possible to establish a scoring that goes beyond simple theoretical data.

Our finer analysis makes it possible to anticipate the profiles at risk of non-payment… So many elements brought together to establish a prediction score in a few seconds and limit the risk of non-payment.

Open Banking



Cutting by NLP

Identification Keywords

Recurrence / time analysis

95% of transactions categorized


Predictive score for non-payment

Tax return


Data & Ratios

95% of transactions categorized

Predictive score for non-payment

Solvency analysis

An approach that goes beyond theoretical scoring

The fight against the risk of non-payment tends to exclude atypical profiles, which are wrongly considered less reassuring. This is true even if they pay their bills.

This approach can penalise you by causing a real loss of business. The Meelo approach is to identify the good payers. Because it's all about balance.

It is essential to make commitments responsible in order to fight against over-indebtedness without closing access to young people, to workers who are not on permanent contracts.

All about solvency analysis
to fight against the risk of non-payment

Open banking is characterised by the sharing of data collected by banking institutions on their customers with other companies.

This concept makes it possible to recover, with the consent of the customer , 4 months of banking transactions.

This data is essential to enable credit or loan applications to be examined and to combat the risk of default.

Meelo via the aggregators retrieves this data to establish a prediction score.

Our credit analysis solution is aimed at both individual and legal entities(companies).

In just a few seconds, you can get a prediction score based on

Meelo is able to analyse risky profiles via a dedicated solution for analysing the creditworthiness of customer.

How ?

By checking the customer's profile, which is assigned a reliability score based on more than 500 data items. The algorithm is thus able to collect and analyse the information that customers leave available to everyone on the Web to study its consistency with what is declared. In this case, the banking data of a bank in an open banking approach.

This solution is the result of the combination of artificial intelligence and open banking.

PSD2 is a directive that has led to the widespread adoption of Open Banking.

This has led the creation of two new regulated payment services:

  • account information services (“ AIS ”): the customer gives a trusted third party access to information on his payment accounts held with account management payment service providers
  • payment initiation services ( SIP ): Customers make payments to third parties directly through a TC.

Firms that offering SICs and SIPs must be regulated or registered with their local financial regulator and must comply with certain obligations when providing these services.

Meelo offers you a solution that makes it easier for you to make credit decisions. Our solution is the most advanced on the market in terms of credit risk management.

Indeed, our scoring takes the approach of categorising the data although this is not mandatory for decision making.

It would be simplistic to rely solely on financial data such as account balance or the number of days overdrawn each month.

Our analysis goes further and is based on human behaviour, as financial data do not take into account savings-type behaviour.

And this is where categorisation comes in. It brings a finesse to the analysis that financial data alone cannot do.

Categorisation gives meaning to financial flows. Our credit risk prediction score allows for finer profiling.

Our credit analysis solution is also for companies ! In just a few seconds, you can decide whether or not to trust the company.

Meelo takes care in a few seconds of collecting all the elements necessary for the identification of a company (Kbis, tax return), to verify the identity of the applicant and his capacity to commit the company then to analyze the solvency thanks to to an intelligent aggregation of data (financial ratios, ongoing procedures and potential reactivations).

This solution concerns all types of companies, including micro-enterprises.

In this case, we use Open Banking and a B2B score to analyse the creditworthiness of this company.

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