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Friday, October 07, 2022

Bankflip takes financial sector digitization to another level

In bankflip technology is developed Extraction of data from electronic offices of public administration In real time and permission-based for financial services (lending, banking, insurance and tax management).

under the modalities of its integration low-code y no-codeTo collect the documents required by your clients for your main flow (work life, contribution base, certificates of being up to date with payments, self-employed model, income statement, driver data, vehicle, card points, fines DGT, etc.) allow. .) in real time. In addition, they do so securely, automatically and under the explicit consent and control of the end user.

company start

The founders met at a previous startup, go into, where they were working together for 2 years. After going through GoIN, lvaro signed the Caixabank digital application, Imagin,

One of lvaro’s teams was dedicated to finding technology companies that would solve the bank’s challenges to integrate them. At that point, the 3 partners met over the weekend to set up a financial solution with technology as a side project.

They decided to focus on solving the problems that the bank had and whose solutions were not sufficient for the bank or the end user in the market. One of them gave birth to the project.

Difference price and business model

They put technology where human operations are, manage to accelerate, automate and scale these processes. Furthermore, their focus on product and technology (API) positions them as the most technological solution, easy to integrate, versatile and with the best UX and DevX on the market.

passed 3 Grand Cluster of customers:

  • lending companies: Prestamos al Consumo, Hippotecus, Car Subscription/Rental/Financing, Banking, Alternative Lending…
  • insurtech: Insurers and new insurers of Mobility and Rental Payment Protection.
  • tax management companies: Online agencies primarily for individuals and freelancers.

Furthermore, its business model is mainly pay per use With each extracted document/dataset (API call).

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