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Artisse AI

Personal photography application From Wikipedia, the free encyclopedia

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Artisse AI is a personal photography application that uses AI to transform selfies into high-quality, personalized images.[1][2] The app allows users to visualize themselves in various scenarios, outfits, and hairstyles, and they can adjust lighting and ambiance to match their preferences.[3][4]

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The company Catheon Gaming and eponymous app were founded by William Wu in South Korea in 2014,[5] who works with a K-pop agency trying to create a virtual idol for his blockchain gaming business.[6][7][3] In January 2024, Artisse received $6.7 million in seed funding led by The London Fund to boost the development and marketing of its AI-driven photography app.[8][9][5]

Artisse uses an AI algorithm to create hyperrealistic images from uploaded photos.[2] The app generates personalized images by combining generative AI technology, a global pool of licensed talent, and finished art services.[10][11][12][13]

The app works with individual users and businesses, offering professional-grade photos and advertisement images.[2][14]

According to the British newspaper Evening Standard the company have developed the world's first and most advanced AI photographer. It captures 15-30 photos of the user and generates 2D images, placing them in various outfits and locations worldwide.[1]

Catheron Gaming

Artisse AI originated from Catheon Gaming, a blockchain gaming and entertainment company founded in 2021 by William Wu. Catheon Gaming published more than 30 Web3 titles in its first year, developed a blockchain game distribution platform, and offered advisory services to external developers.[15] In 2022, HSBC and KPMG listed Catheon Gaming among the "Top 10 Emerging Giants" in the Asia–Pacific region, selected from a pool of more than 6,000 startups.[16]

In June 2023, Catheon Gaming was rebranded as Artisse Interactive,[17] creating two divisions: Artisse Gaming, which continued blockchain and Web3 game development,[18] and Artisse AI, which focused on generative photography technology.[3]

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