![cre[ai]tion](https://storage.googleapis.com/dealroom-images-production/45/MTAwOjEwMDpjb21wYW55QHMzLWV1LXdlc3QtMS5hbWF6b25hd3MuY29tL2RlYWxyb29tLWltYWdlcy8yMDI1LzA4LzE1LzgyNDI2MTVkZDc1NzQ5NmIyZDQ3YjJjNjY0ZGU2NGE5.png)
cre[ai]tion
Building a platform that uses artificial intelligence to inspire designers.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor investor | €0.0 | round |
* | N/A | Seed | |
| Total Funding | 000k | ||
| USD | 2023 |
|---|---|
| Revenues | 0000 |
| EBITDA | 0000 |
| Profit | 0000 |
| EV | 0000 |
| EV / revenue | 00.0x |
| EV / EBITDA | 00.0x |
| R&D budget | 0000 |
Source: Dealroom estimates
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cre[ai]tion is a German software-as-a-service (SaaS) company that has developed an AI-powered platform to streamline the design process for creatives, designers, and artists. Founded in 2022 by Marco Limm, Andre Münch, and Nik Dorndorf, the Frankfurt-based startup aims to optimize what is often a complex and iterative workflow. The founding idea stemmed from Limm's own experiences in the design industry, where he faced the pressure of producing creative solutions under tight deadlines, leading to inefficient, assembly-line-like work.
The company's core product is a platform that uses generative AI to produce design inspirations and renderings. It functions as a "digital muse," allowing users to upload their own sketches or images, which the AI then refines into new creations. The system operates on a visual workflow, bypassing text prompts and allowing users to extract and apply visual elements like color, shape, and material to generate new designs. This process can reduce the time needed for ideation and completion by up to 90%. Key features include a personalized 'Feed' for inspiration, collaborative 'Boards' for organizing and refining designs, 'Galleries' for saving creations, and the 'Lab' for detailed modifications. The platform is built to be scalable and supports real-time collaboration among multiple users.
cre[ai]tion targets a range of clients from solo designers to large enterprises, with testers from companies like C&A and BSH (Bosch und Siemens Hausgeräte). For enterprise clients, the company offers custom AI model training based on the brand's existing products to ensure new designs align with the brand's identity, as well as local data storage options for enhanced privacy. The business model appears to be subscription-based, with different pricing tiers for professionals and studios. The company is venture capital-backed, having completed an early-stage VC funding round in December 2023.
Keywords: generative AI, design platform, visual workflow, SaaS, creative tools, design automation, brand model training, digital muse, product design, collaborative design