
BLNG
BLNG⢠- Create unique, personalized jewelry faster than ever with AI.
Date | Investors | Amount | Round |
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investor | €0.0 | round | |
investor | €0.0 | round | |
* | $3.0m | Seed | |
Total Funding | 000k |
BLNG positions itself at the intersection of artificial intelligence and personal luxury, offering a platform for designing custom jewelry. The company leverages generative AI to translate user ideas and prompts into tangible jewelry designs, which are then brought to life through 3D printing and traditional craftsmanship using materials like silver and gold. This service caters to individuals seeking a high degree of personalization in their accessories, allowing them to create pieces that reflect their unique stories and styles.
Founded in 2023 by Elad Sulami and Raz Goren, BLNG emerged from their shared interest in the creative potential of generative AI. Sulami, serving as CEO, brings a background in AI and product development, having previously worked at companies like Google and Dynamic Yield. Goren, the CTO, has a history as a software engineer with experience at Microsoft. Their combined expertise in AI and software engineering provides the technical foundation for the company's platform, aiming to make personalized jewelry design more accessible and intuitive.
The business operates on a direct-to-consumer model. Customers interact with an AI-powered design tool on the BLNG website, describing their desired piece through text prompts. The AI generates design options, which the user can then refine. Once a design is finalized, BLNG manages the production process, from 3D printing the initial model to casting it in precious metals and finishing the piece. This integrated process allows the company to control the customer experience from initial concept to the final product, monetizing each custom-designed piece of jewelry sold.
Keywords: personalized jewelry, generative AI, custom design, 3D printing, direct-to-consumer, e-commerce, luxury goods, AI-powered design, bespoke accessories, jewelry technology