Artiso Raises 3 Million Euros to Build an AI Operating System for Fashion Teams

Artiso Raises 3 Million Euros in Pre-Seed Funding

Barcelona-based FashionTech startup Artiso has raised over 3 million euros in a pre-seed equity round, announced on October 28. The round was led by Criteria Venture Tech, which has backed Artiso since its inception. Other participants included Swanlaab Venture Factory, Bynd Venture Capital, and business angels David Tomas, co-founder of Cyberclick, and Nicolaj Reffstrup, founder and former CEO of GANNI, who invested through Look Up Ventures.

Artiso, founded in 2025 by Sarah Iglesias Hiller, Lucas Pastur Romay and Matthias Brenninkmeijer, builds an AI operating system for fashion teams. The platform connects inspiration, design, product development and pre-production, using a brand-specific memory and ontology to personalize creative outputs. In plain terms, it tries to remember how a particular brand designs, so its suggestions sound like that brand rather than like every other brand using the same tool.

What an AI Operating System Means for Fashion

Fashion work is fragmented by nature. Inspiration lives in mood boards, designs live in files, product specs live in spreadsheets, and pre-production lives in email threads with suppliers. A designer can lose days just hunting for the version of a garment that was actually approved. Artiso's pitch is to pull those stages into one system, so a decision made at the inspiration stage carries through to the tech pack a factory receives.

The brand-specific memory is the interesting part. Generic AI tools are good at producing plausible fashion images, but plausible is not the same as on-brand. A brand has a color palette, a fit philosophy, a price point and a set of materials it actually uses. If the tool remembers those constraints, its output needs less fixing. If it does not, designers spend their time correcting the tool instead of designing. Artiso says it will use the new capital to speed up development of the platform, expand its team, and support enterprise-level customer rollouts.

Why Investors Are Backing Fashion Software Now

Three million euros in pre-seed funding is modest by AI startup standards, and that is part of the story. Artiso is not trying to build a foundation model. It is building workflow software for a specific industry, on top of models that already exist. That is a cheaper bet, and a clearer one: if fashion teams adopt it, revenue follows from subscriptions and enterprise deals, not from selling compute.

The investor list also tells a story. Criteria Venture Tech has been there since the start, which suggests conviction rather than a single headline round. Reffstrup, who built GANNI into an international brand, brings fashion credibility that a pure tech investor cannot. For enterprise fashion customers, who are rightly cautious about handing design data to a startup, that kind of backing matters. It signals that people who have run fashion businesses think the workflow problem is real.

The Hard Parts Artiso Still Has to Prove

The obvious risk is adoption. Fashion teams have strong habits, and many already use a patchwork of tools they know well. Replacing that patchwork with one system means convincing designers, product developers and suppliers to change how they work at the same time. A tool that only helps designers, but leaves suppliers on email, has not solved the workflow problem. It has just moved it.

Data is the second risk. A brand-specific memory is only as good as the brand data it is trained on, and fashion houses guard that data closely. Artiso will need to show it can handle confidential designs securely, keep one brand's style from leaking into another brand's suggestions, and work with incomplete or messy historical data. Enterprise rollouts will test all of that in ways a pilot with a friendly customer will not.

What to Watch Next

Compared with larger recent rounds, like the Nevis wealth management AI raise or the BioStack clinical data seed, Artiso is an early-stage, niche bet. That makes it a useful test case: can a small, industry-specific AI platform win against general-purpose tools that fashion teams already have? The next signals to watch are named enterprise customers, not just rollouts in general, and evidence that teams actually stay on the platform after the first collection cycle.

If Artiso can show that, the pre-seed round will look cheap in hindsight. Fashion is a large, design-heavy industry with a genuine workflow mess, and the first tool that credibly connects inspiration to factory-ready specs will have a strong story to tell. If it cannot, it will join a long list of fashion tech tools that produced pretty images but never changed how clothes actually get made. The funding buys time to prove which one it is.