Fermat vs Kampana
Fermat is a generative AI design toolbox used by global fashion and luxury brands (ASOS, Adidas, S.Oliver, PUIG) for sketch-to-render, garment editing, virtual try-on, seamless prints, flat-lay extraction and photoshoot restyling. Kampana sits one step downstream: take a finished product and ship the launch pack - PDP, B2B sell-in, marketplace feeds and 9:16 social - from a single node graph.
Enterprise design toolbox
Strong adoption inside large brands. Designers visualise ideas 30× faster, change colours and materials on a garment, apply seamless prints and restyle existing photoshoots into new scenes and poses.
Best at design exploration and photoshoot economics. Lighter on per-product launch orchestration: no native node graph linking design to PDP / B2B / marketplaces / social, no native video.
Product-launch OS for fashion teams
Kampana models every product as a node. From that node you wire PDP hero, front/back, on-model, tech pack reference, lookbook, lifestyle, 9:16 social cut, B2B kit and marketplace feed - every asset stays in sync with the product.
Built so merch, creative, ecommerce and wholesale all work from the same product source, with one shared credit pool.
Feature comparison
Choose Fermat if…
- - Your design team needs broad enterprise-grade ideation tools
- - Restyling existing photoshoots is a primary use case
- - You already have downstream pipelines for PDP / B2B / social
Choose Kampana if…
- - You want each product to ship to every channel from one node
- - PDP, wholesale and social need to launch together, not asset by asset
- - You prefer shared credits with unlimited seats over per-seat plans
Fermat is an open creative canvas. Kampana is an opinionated fashion product OS.
Fermat is a node-based AI canvas where you compose your own creative workflows - connect prompts, image generators, video models, masks, references and operators on an infinite board. It is loved by power users who want to construct bespoke pipelines without code, and it is broadly horizontal (not fashion-specific).
The flexibility cuts both ways. Every team that uses Fermat builds their own workflow conventions, names their own nodes and discovers their own dead ends. There is no out-of-the-box fashion product schema, no PDP / B2B / marketplace concept, no SKU as a first-class object.
Kampana takes the same node-based mental model and ships it as an opinionated fashion OS. The graph is pre-shaped: products are nodes, channels are wires, brand kit and credit pool are global. You spend your time launching, not building tooling.
When Fermat is the right call, and when Kampana is
Choose Fermat if you have an R&D-leaning creative team that wants a sandbox to invent novel pipelines, or if your domain isn't fashion and you need a generic AI canvas.
Choose Kampana if you are a fashion brand or agency where the work is repeatable per SKU, and where the cost of every team reinventing its own node graph outweighs the flexibility benefit. The product schema and channel templates are already there.
Frequently asked questions
Is Kampana like Fermat for fashion?
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Yes - both are node-based AI canvases. Fermat is horizontal and DIY; Kampana is fashion-vertical with the product graph and channel outputs pre-shaped.
Can I build my own custom nodes in Kampana?
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Kampana ships a fashion-specific node library (product, channel, brand kit, asset variants). It is less freeform than Fermat by design - the trade-off is faster time-to-launch.
Does Fermat understand SKUs and product catalogs?
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No. Fermat is a generic creative canvas; SKU awareness is something you'd build yourself. Kampana treats SKUs as first-class entities.
Can I migrate a Fermat workflow into Kampana?
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Not 1:1 - the node primitives are different. In practice, teams describe what they want to achieve and Kampana's pre-built templates cover most fashion launch scenarios out of the box.
Pricing comparison?
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Fermat uses per-seat plans with credits. Kampana uses a shared credit pool with unlimited seats - a better fit for cross-functional fashion teams.
Pair Fermat in design with Kampana for launch.
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