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AVILEN, Inc. Joins the Financial Data Utilizing Association as a Special Member -Promoting the use of AI and data in the financial field-

AVILEN, Inc. (Headquarters: Chuo-ku, Tokyo, Representative Director: Kotaro Takahashi, hereinafter AVILEN) is pleased to announce that it has joined the Financial Data Utilizing Association (hereinafter FDUA) as a special member.

FDUA's mission is to "update the possibilities of people and organizations with financial data", sharing know-how on financial practices in "organization", "human resource development" and "technology", aiming to update individuals, companies and industries. was established.

Since its founding in 2018, AVILEN has been working with more than 360 companies, mainly listed companies, from DX / AI strategy planning to deep learning, etc., under the vision of "cutting-edge technology for all". We provide end-to-end support for AI-driven DX promotion, from the development of machine learning-related algorithms and their in-house production, to the training of DX and AI human resources.

Through joining FDUA, AVILEN will continue to contribute to the realization of problem solving in the financial sector by providing know-how accumulated since its establishment and supporting the use of big data and AI.

Overview of the Financial Data Utilizing Association

Inauguration Date June 22, 2022
Location 3-27-9 Sendagi, Bunkyo-ku, Tokyo
Activities (1)Creation of design patterns to promote the use of AI and data in financial institutions
(2)Exchange of information and cooperation within the financial industry and with related organizations
(3)Organize and run a data analysis competition to promote the attractiveness of financial data
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■ AVILEN, Inc.

Establishment date August 15, 2018
Location Akihabara First Square 9F, 2-3-3 Nihonbashi Bakurocho, Chuo-ku, Tokyo
Representative Kotaro Takahashi, President and Representative Director
Business Providing AI-driven DX promotion content, from AI/DX strategy planning, development of machine learning algorithms such as deep learning and their in-house production, to AI/DX human resource development.
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