Handwritten Loan Data with Precision and Accuracy

The Client
Financial Institutions
CIO / CTO / Data Scientist
The Challenge

Verifying the handwritten information from loan applications is tedious.

Altilia's Solution

AI technologies can do so with greater efficiency and speed.

Not only can AI verify the authenticity and completeness of signatures on loan applications and other forms, it can streamline the migration of that data into other information systems. Accepting and verifying handwritten materials is simplified and automated, and directly translated to the digital systems that the business is working with. AI automated signature verification can also let the loan processor know when a signature is missing or appears inconsistent with previous client signatures.


Ending manual interpretation of handwritten documents and transcription to a digital platform saves countless man hours. AI is more accurate and detail-oriented in reviewing document signatures, and does it in a fraction of the time. It also makes nearly zero transcription errors in data migration, as opposed to human transcription. This allows for more modules to be processed in a shorter time frame.

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Foro Buonaparte, 22
20121 Milano (MI), Italy

16 Whitehall London, SW1A 2DY, United Kingdom

Operational and R&D

TechNest -University of Calabria
87036 Rende (CS), Italy

[email protected]

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