
Lalaland
Artificial human models for ecommerce apparel web shops.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |








USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | 39 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Lalaland.ai, an Amsterdam-based technology firm, has developed a platform that leverages artificial intelligence to create lifelike, customizable virtual models for the fashion industry. This solution enables fashion brands and retailers to showcase their apparel on a diverse range of digital avatars, thereby personalizing the e-commerce experience. The company's core technology allows for the generation of high-quality, on-model imagery without the need for traditional photoshoots, offering a cost-effective and efficient alternative for creating product catalogs.
The platform caters to fashion brands, designers, and online retailers seeking to enhance their digital storefronts with inclusive and varied model representation. By providing tools to create avatars with different body types, skin tones, and hairstyles, Lalaland.ai facilitates a more relatable and engaging shopping journey for consumers. The business model is centered on a subscription-based service, where clients can access the platform to generate and customize their digital models. The company has established partnerships with notable players in the fashion industry, such as Levi Strauss & Co., and has received recognition for its contributions to fashion technology.
Keywords: virtual fashion models, AI-powered avatars, digital model generation, e-commerce imagery, fashion technology, personalized shopping, inclusive fashion, 3D clothing design, digital product visualization, fashion retail solutions.