K Linx is a fintech startup company that performs payment matching and reconciliation. The greatest added value concerns unstructured payments as Sepa Credit Transfer, SWIFT etc. where main reconciliation infos are drowned in free text fields.
K Linx also automatically manages unstructured documents such as scans of payment receipts or handwritten payments (slips, promissory notes) thanks to Artificial Neural Networks and Named Entity Recognition processes.
The company is currently working on improvement of its artificial neural networks to better perform the phases that require cognitive actions, for example to understand who is the payer and what is the purpose of the payment.
The goal is to emulate the reasoning of a person in the analysis of payments to reduce as much as possible doubtful cases, especially those in which the intervention of an operator is required.
Another important challenge concerns the provision of the reconciliation functionalities via API and also integrating into the processes APIs provided by others players of OPEN BANKING eco-system, in order to improve our reconciliation performances.
Stay tuned, the best is yet to come.