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Yoona.ai

Techstars '21

Berlin, DE · 3 known investors

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yoona.ai builds AI agents that serve as adaptive intelligence layers for fashion and retail brands, connecting existing data and tools to improve forecasting and reduce overproduction. The company focuses on decision-making optimization in the fashion industry.

Also known as yoona · Yoona · YOONA Ventures GmbH

Founders & leadership

AFAnna Franziska Michel
Anna Franziska MichelCEO & Co-founderAnna Franziska Michel co-founded and leads Yoona.ai, which builds AI agents for fashion and retail brands to optimize forecasting and reduce overproduction. She has a background in product design and business informatics and works alongside a co-founder with expertise in neural networks and complex systems.

Investors · 3

Company profile

researched Sep 2026

yoona.ai, operated by YOONA Ventures GmbH of Berlin, develops AI software for the fashion, footwear and apparel industries. Its current platform offers adaptive AI agents that connect a brand's existing systems — PLM, PIM, PDM, ERP, e-commerce and external market data — into a single intelligence layer that analyzes data continuously, recommends actions and executes them, including creating products, scoring sell-through and publishing to sales channels. Flagship agents include a Trend Forecaster Agent that researches trends, markets, competitors, social media and consumer signals; a Sales Confidence Agent that evaluates more than 1,000 product, sales, trend and market attributes to assign each SKU a Sales Confidence Score; and a Product Optimizer Agent that converts those attributes and insights into product improvements before go-to-market.

The product line also spans generative design tooling. Yoona.ai 4.0 includes text-to-image design generation, sketch-to-design and design-to-technical-sketch conversion, bulk collection generation via a Product Line feature, a Modify tool for adjusting details such as necklines and sleeves, print placement, color palette extraction and Pantone-oriented color swapping, background removal, avatar-based fit visualization, and Mix & Match and variation tools that combine or randomize elements across multiple designs. Earlier descriptions of the company characterize it as an AI-based B2B software solution that compresses the fashion value chain and automates the design process, at one stage including the ability to create individual designs informed by personal sports data, with digital design assistants for color, silhouette and graphics and one-click conversion of drafts into 3D designs viewable in augmented reality.

Customer offerings are packaged around access to a library of retail and e-commerce specialized agents, customized Sales Confidence and Trend Fit agents, workflow automation across product development, e-commerce and marketing teams, API-based integration with a customer's tool stack, AI and agentic AI consulting, and customer success management.

Founding story

Founder and CEO Anna Franziska Michel trained as a fashion designer and ran her own label. She has described concluding that her design work was inefficient and that consumers did not recognize the long design process, and pointing to large volumes of garments placed on the market and discarded as fashion waste each year. Her response was to pursue customer-oriented, efficient design, which led to yoona.ai, founded in Berlin in 2020 [6][5].

Business model

B2B software sold to fashion, footwear and apparel companies, delivered as a platform of AI agents plus generative design tools, with packaged access to specialized agents, custom agent configuration, API integrations to customer systems, consulting and customer success management; the website routes prospects through a "Request a Demo" motion [0][1]. Early materials describe the target buyer as fashion companies and production firms, with multiple roles inside a customer — from designer to merchandiser to managing director — using the tool [6].

Software sold to brands as packaged access to agents and platform capabilities, bundled with customized agents, workflow automation, API integration, AI and agentic AI consulting and customer success management [0][1].

Traction

Google Cloud's customer case study reports outcomes attributed to the platform, including time to insights reduced from weeks to seconds, design process costs cut by up to 87% for customers, time-to-market reduced from 40 weeks to 9, sell-through rates boosted by 40-50%, and a reduction of up to 93% in CO2 emissions during clothing prototyping, and quotes co-CEO Volker Ißbrücker saying Google Cloud infrastructure and support enabled the company to reach many more customers [3]. The company has publicly referenced development projects with PUMA and VAUDE [6]. EU-Startups lists total funding between €100K and €500K [5].

Latest developments

Current website positioning centers on agentic AI for product and e-commerce teams, with Trend Forecaster, Sales Confidence and Product Optimizer agents and access to 99+ retail and e-commerce specialized agents [0][1]. Yoona.ai 4.0 design tooling tutorials were published in 2025, with additional tutorials covering Mix & Match, Variations by Random and Variations by Reference Image dated November 2025 [2]. The company migrated to Google Cloud in 2024 and continues to train more specialized AI agents [3].

▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

Positions itself against point tools that optimize a single step of the process, claiming to connect the full loop from market signal to published product [0][1]. The company has described its offering as an end-to-end digital solution for the design industry and asserted there is no comparable end-to-end solution [6]. Google Cloud describes it as a German AI clothing tech platform enabling brands to make data-backed design decisions in seconds [3].

The company frames its differentiation as combining trend research, sales-potential scoring and product optimization in one connected loop rather than optimizing a single workflow step, with agents that both analyze and act across a customer's connected systems [0][1]. Founder statements emphasize that the tool was built by a designer for designers, integrating neural networks, 3D and augmented reality, and claim savings of up to 80% of the time spent in the draft and collection-development phase, with corresponding cost reduction and avoidance of overproduction [6].

Technology

Custom AI models and AI agents trained by the company, plus generative image models for design output. Training and inference run on Google Cloud, using Compute Engine and Google Kubernetes Engine for access to high-performance GPUs including Nvidia A100s, with Cloud Storage for raw customer data; the company uses A100s for computationally intensive training and more cost-effective machines for day-to-day operations and inference, and cites Google Cloud's GDPR and data-sovereignty commitments for protecting customer intellectual property [3]. Agents ingest data from PLM, ERP, PIM, PDM, e-commerce systems and market sources through API integrations and act on it [0][1]. Earlier descriptions cite neural networks analyzing uploaded design, performance and trend data, with 3D conversion and augmented reality [6].

Go-to-market

Direct enterprise sales via demo requests on the company website, supported by a content and education channel ("yoona academy") of product tutorials and use cases, a newsletter, and participation in startup accelerator programs such as Google for Startups Accelerator: Women Founders [0][1][2][3]. The company has described developing the software with large international fashion brands and named project work with PUMA and VAUDE [6].

Fashion, footwear and apparel brands and retailers, addressed through product development, e-commerce and marketing teams as well as merchandising, planning and buying functions [0][1]. Earlier company statements describe the target group as fashion companies and production firms, with an eventual ambition to serve individual designers, and a longer-term plan to extend the scalable software into furniture, automotive, FMCG and packaging [6].

Geography

Headquartered in Berlin, Germany (Rudi-Arndt-Straße 14, 10407 Berlin), operating as YOONA Ventures GmbH [4][5]; described as a German startup serving fashion brands, with European GDPR and data-sovereignty requirements cited as important to its customers [3].

History

Founded in 2020 in Berlin [5][6]. Early public descriptions (2021-2022) present the company as an AI-based B2B design-automation tool for fashion, with neural networks analyzing uploaded design, performance and trend data, design assistants, 3D conversion and augmented-reality review, and stated project work with PUMA and VAUDE [6]. EU-Startups lists an interview with CEO Anna Franziska Michel published in February 2022 [5]. CEO Michel took part in the Google for Startups Accelerator: Women Founders program, after which the company migrated its infrastructure to Google Cloud in 2024, working with partner Seibert Group GmbH [3]. Product tutorials for Yoona.ai 4.0 were published in 2025, and the current positioning centers on agentic AI for merchandising, planning and commerce [2][0][1].

Risks & controversies

Performance figures such as cost reductions, time-to-market compression, sell-through gains and emissions savings are reported in a cloud vendor's customer case study and in company statements rather than independently verified [3][6]. The company has noted that customers share highly sensitive proprietary information, including bestselling products and brand identity, making data security and GDPR compliance a core requirement [3]. Its earlier cloud provider relationship proved costly and under-supported for custom model training, prompting a change of infrastructure [3].

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Google Cloud services discount receivedJan 202520%
Product, sales, trend and market attributes analyzed by Sales Confidence AgentJan 20261,000+
Reduction in CO2 emissions during clothing prototyping (company calculation)Jan 2025up to 93%
Reduction in customer design process costsJan 2025up to 87%
Sell-through rate improvement using AIJan 202540-50%
Specialized retail & e-commerce agents availableJan 202699+
Time saved in draft and collection development phase (company claim)Jan 2021up to 80%
Time-to-marketJan 2025cut from 40 weeks to 9 weeks
Total funding (range listed in startup directory)Jan 2026Between €100K and €500K

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Related companies · 5

Companies working in the same space as Yoona.ai.

Timeline · 5

launches, deals, and filings
Nov 2025
Mix & Match and variation tools released

Tutorials published for the Mix & Match tool, which merges elements from 3-10 designs into new concepts, the Variations by Random tool, and Variations by Reference Image.

source ↗

Aug 2025
Yoona.ai 4.0 design tools documented

Tutorials published for Yoona.ai 4.0 capabilities including text-to-image design, sketch-to-design and technical sketch generation, Product Line bulk collection generation, Modify tool, print placement, color palette extraction and color swap, background remover, avatar fit and Product Hub filtering.

source ↗

Jan 2024
Migrated infrastructure to Google Cloud

yoona.ai migrated to Google Cloud in 2024, using Compute Engine, Google Kubernetes Engine with Nvidia A100 GPUs and Cloud Storage, supported by cloud credits and Google Cloud partner Seibert Group GmbH.

source ↗

Jan 2024
Participation in Google for Startups Accelerator: Women Founders

CEO and co-founder Anna Franziska Michel participated in the Google for Startups Accelerator: Women Founders program, which preceded the company's move to Google Cloud.

source ↗

Jan 2021
Development projects with PUMA and VAUDE

The company stated in a 2021 founder interview that it was developing projects with PUMA and VAUDE.

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Yoona.ai do?
Berlin-based company building agentic AI for fashion, footwear and apparel brands' product design, merchandising and planning.
Who founded Yoona.ai?
Yoona.ai was founded by Anna Franziska Michel.
Who are Yoona.ai's investors?
Yoona.ai's investors include Expert DOJO, Startupbootcamp FinTech Mexico, Techstars.
Where is Yoona.ai headquartered?
Yoona.ai is headquartered in Berlin, DE.