“Adan” company located in Tehran University Science and Technology Park announced the development and launch of an intelligent banking assistant based on a large language model; According to the CEO of this company, the product is already available to users in one of the country’s banks.
Hesham Fili, the CEO of Adan Artificial Intelligence Company and a lecturer at Tehran University Technical Faculty, referring to the main focus of this collection on the development of artificial intelligence models and especially large language models (LLM), says that Adan is one of the leading domestic companies in this field and has focused its activity on the localization and development of these technologies from the beginning.
Smart assistant in the heart of the bank
According to Fili, the first flagship product of this company in the field of banking is an artificial intelligence assistant embedded in the mobile banking application of one of the banks; An intelligent assistant that, in addition to answering banking questions, also provides the possibility of performing some operations such as applying for a loan and transferring funds.
This system is developed based on a large language model that is specifically trained for banking scenarios. In other words, the model used is not just a generic chatbot; Rather, it has been adapted to banking data, terms and processes in order to provide more accurate and practical answers.
Organizational version for bank employees
In addition to the user-oriented version, Adan has also developed an internal smart assistant for the employees of the same bank. This tool is provided to employees as a digital advisor and plays the role of a guide in the field of announcements, circulars, instructions and internal rules of the organization.
The CEO of Adan emphasizes that this solution is not only limited to one bank and can be developed and implemented in other organizations and institutions as well. Especially in collections that face a high volume of internal documents and regulations.
Focusing on large native language models
In the end, referring to Adan’s development programs in the field of large language models, Fili expresses the hope that with the expansion of these technologies, it will be possible to provide smart services on a national scale; The path that he said can play an important role in the digital transformation of various industries, especially banking.
The movement of companies based in the academic innovation ecosystem towards the development of practical applications of LLM in sensitive industries such as banking shows that the competition in the field of artificial intelligence does not end only in model production; Rather, the ability to implement it safely and problem-oriented on a real scale will be the main criterion for the maturity of this technology.
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