Samsa
Swiss AI platform that learns a company's visual identity, then generates on-brand images and videos in seconds. Marketing teams train private models on their style, products, people and settings, with data stored in Frankfurt.
What is Samsa?
Samsa is a generative AI platform for visual content, published by Samsa Labs AG in Lucerne, Switzerland, and aimed squarely at brand and marketing teams rather than at individual creators. Its premise is that generic image generators produce off-brand output, and that the fix is to teach the model the brand first.
The product is organised in three movements: Train, Create and Edit. Training covers four families of custom models — corporate styles, products, people and settings. A single reference image is enough to start, though two to five are recommended for quality, and trainings are unlimited and cost no credits on any plan. Once trained, models can be combined in one prompt through an @mention syntax, and a defined brand colour palette is applied automatically across generations.
Creation aggregates the leading third-party engines under a single subscription rather than building its own: Veo 3.1, Sora 2 Pro, Runway, Kling, Luma, MiniMax and Seedance for video; Nano Banana Pro, Imagen 4, Flux.1 Pro, Seedream 4, Recraft and Magnific for images. Five specialised studios — Packshot, Social Media, Editorial, Cinematic and 3D Rendering — wrap those engines in task-specific controls. Editing adds masked edits, variations, resizing into more than ten aspect ratios with AI fill, background removal, SVG vectorisation and upscaling up to 12K.
Usage runs on a credit system: five credits for a 1K image, ten at 2K, twenty at 4K, eight for a five-second video, and nothing for model training or uploads.
Two commitments distinguish the platform. Customer data, account information and generated content are stored in EU data centres, principally in Frankfurt. And every output is marked for provenance under Article 50(2) of the EU AI Act, using signed C2PA Content Credentials plus an imperceptible watermark, with a free public detector and open-source detection software.
The interface and prompting work in English, German, French and Italian. A public REST API and a remote MCP server expose the same capabilities to code, and the terms explicitly permit integrating Samsa into a customer's own product.
What it does
- Train private AI models on a brand's style, products, people and settings
- Generate on-brand images from a text prompt at 1K, 2K or 4K
- Generate videos of 3 to 15 seconds using leading third-party video models
- Edit images with a mask and a prompt, create variations, resize and remove backgrounds
- Upscale images up to 12K, and beyond for large-format print
- Produce packshots, product photography and photorealistic 3D renders
- Drive the whole platform from code through a REST API or an MCP client
When to use Samsa / When not to
A quick filter to help you decide if Samsa is the right fit.
When to use Samsa
- In-house brand and marketing teams producing campaign visuals at volume without a design studio
- Companies with strict brand guidelines that need every asset to match a corporate style automatically
- E-commerce and retail teams needing packshots and product photography without a photographer
- European organisations that care where their data is stored and how AI content is labelled
- Developers embedding image and video generation into their own product through a REST API or an MCP client
When not to use Samsa
- Anyone looking for a permanently free tool: the cheapest paid entry point is 49 CHF per month
- Individual creators or hobbyists who cannot justify a yearly subscription commitment
- Teams that need a mobile app, as the platform runs in the browser only
- Buyers who need contractual certainty that their uploads will never feed the vendor's own research
- Agencies waiting to resell the platform under their own brand, since the white-label programme is still a waiting list
How to use Samsa
A typical end-to-end flow, from setup to results.
- Create an account on the web application; there is nothing to install
- Upload one to five reference images of a style, product, person or setting
- Train a custom model on that material, at no cost in credits and without limit
- Define the brand colour palette so it is applied automatically to later generations
- Write a prompt in English, German, French or Italian and reference trained models with an @mention
- Choose the output type and resolution, from a 1K image to a 4K asset or a video of 3 to 15 seconds
- Refine the result with masked edits, variations, resizing, background removal or upscaling
- Save recurring settings as shared presets and organise output into project folders
- Review and approve through the gallery and version history before publishing
- For programmatic use, create an organisation API key and call the REST endpoints, or connect the MCP server to an existing client
Pros & Cons
Pros
- No feature gating: every function is available on every plan, only credits and seats differ
- Model training is unlimited and consumes no credits, so brand coverage is not rationed
- The leading image and video engines are aggregated under a single subscription
- Customer data and generated content are stored in the EU, in Frankfurt, with subprocessors named individually
- The data processing addendum is published openly as a PDF, with no request or sales call required
- EU AI Act content marking is genuinely implemented, with a free public detector and open-source detection code
- A documented REST API and MCP server, with contractual permission to embed the service in a customer product
Cons
- No permanently free plan, and the free trial is conditional on meeting criteria assessed case by case
- The homepage invites visitors to sign up for free, which the pricing grid does not support
- Credits expire at the end of each billing cycle and never roll over
- Subscriptions default to an initial one-year term with thirty days' notice
- The terms reserve unrestricted internal use of customer inputs and outputs, which the marketing copy does not convey
- No opt-out is offered against that internal reuse, and inference leaves the EU during processing
- Pricing is quoted in Swiss francs only, excludes VAT, and carries a contractual 7% annual increase
Pricing & Plans
There is no permanently free plan. The vendor offers free trials to new customers who meet unspecified criteria, assessed on request, but the ordinary entry point is the Starter plan at 49 CHF per month billed monthly, or 39 CHF per month on an annual commitment. Basic costs 99 CHF monthly and Standard 149 CHF monthly, with the same 20% reduction available annually; Enterprise is quoted individually. All prices exclude applicable VAT and are stated in Swiss francs only. Usage is metered in credits, and unused credits do not carry over to the following cycle.
- 500 credits per month
- 3 users
- commercial rights
- unlimited model training
- first training assisted
- Classic support under 48 hours
- 1
- 250 credits per month
- 6 users
- onboarding session
- Advanced support under 24 hours
- 2
- 000 credits per month
- 12 users
- onboarding session
- Express support under 12 hours
- custom credit allowance
- unlimited users
- payment by invoice
- SSO login
- service level agreement
- Priority support under 6 hours
Data, GDPR & hosting
A consolidated view of how Samsa handles your data.
GDPR overview
Concrete and unusually well documented. As a Swiss company, Samsa Labs AG applies the Swiss FADP and, where applicable, the GDPR, noting the European Commission's adequacy recognition for Switzerland. The privacy policy, version 1.3 effective 1 August 2026, lists its legal bases under Article 6(1)(a) to (f) and enumerates data subject rights including access, rectification, erasure, restriction, portability and objection, naming the Swiss FDPIC as supervisory authority. A data protection officer is designated by name. A 15-page data processing addendum is published openly as a PDF, drafted against Article 28(3) and (4) GDPR, with a 48-hour breach notification commitment and standard contractual clauses under Article 46(2) for transfers outside the EEA. Compliance with Article 50(2) of the EU AI Act is implemented through machine-readable content marking. One gap: no Article 27 representative is named, although the company is established outside the EU.
Who owns the data?
Under the general terms, intellectual property in the prompts and datasets a customer uploads (the Input) stays with that customer, and the images and videos produced (the Output) belong to the customer as between the parties. Two reservations narrow this considerably. Samsa Labs AG may use both Input and Output without restriction and irrevocably for internal purposes such as research, development and improvement of the service, and may use them externally only in anonymised, aggregated form. Separately, all rights in the service itself, expressly including the algorithms trained on the basis of Input and Output, remain the property of Samsa. Ownership of the files is therefore the customer's; ownership of what the vendor learns from them is not.
Reuse rights
Customers receive commercial usage rights over everything they generate, with no separate permission required: images and videos can be used in campaigns, advertising, packaging and any business context. That grant is conditional. The customer must hold the appropriate copyright or intellectual property licences for every image in the training set, and must have obtained the consents of any employees or third parties depicted; without those, the commercial grant does not apply. On the vendor side, the pricing FAQ states that uploaded assets serve only the customer's own model training, that they are never used to train or optimise other users' models, and that strict isolation is maintained between accounts. The binding terms are broader than that promise, permitting unrestricted internal reuse. Inference itself is carried out by named third parties, so prompts and results are transmitted to them temporarily. No opt-out mechanism is offered to the user.
Data retention & training
Hosting summary
Customer data, account information and generated content are stored in data centres in the European Union, principally in Frankfurt, Germany. Object storage, server infrastructure, the database and authentication layer, and the C2PA signing service all report Frankfurt as their server location. Additional infrastructure providers are named for storage and hosting. The publisher is established in Switzerland, so processing falls under Swiss data protection law and, where applicable, the GDPR, with the European Commission's adequacy recognition for Switzerland cited explicitly. One nuance matters. AI inference is partly performed outside the EU, notably in the United States. During inference, prompts, input media and generated results are transmitted to those providers and processed temporarily, with final storage returning to the EU infrastructure. Cross-border transfers rely on standard contractual clauses under Article 46(2) GDPR, and the addendum limits transfers to countries where the processor or an approved subprocessor is registered. The public content detector processes submissions only transiently in memory, with zero retention and no logging of IP address, user agent or file name.
Things to keep in mind
Risks and trade-offs to weigh before adopting Samsa.
- The terms let the publisher reuse uploaded inputs and generated outputs internally without restriction, so sensitive brand material should be assessed before upload
- Prompts and intermediate results leave the EU during inference, reaching providers in the United States, the United Kingdom and Spain
- No security certification such as SOC 2 or ISO 27001 is claimed by the publisher; the compliance claims concern the EU AI Act and data protection law
- No Article 27 GDPR representative is named even though the company is established outside the European Union
- Prices are described by the vendor as an introductory offer, and the terms allow a unilateral 7% annual increase
- Customers remain responsible for their own EU AI Act deployer disclosure duties, and SVG exports carry no machine-readable marking
- Relying on a model trained on a fixed set of references can quietly narrow a brand's visual range over time, so human art direction still matters
Setup & Integrations
Technical difficulty
Low for the intended audience. The platform runs entirely in the browser with nothing to install, and the vendor states that no design skills are required. A first model can be trained from a single image, and the Starter plan includes assisted first training, with a full onboarding session from the next tier up. The programmatic route is also undemanding: create an organisation API key, submit a generation and poll the job, with copy-paste examples in curl, Python and TypeScript, or connect the MCP server to an existing client without installing anything.
Deployment
Integrations
Supported languages
Behind Samsa
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
How many images are needed to train a model?
Is there a free plan or a free trial?
How does the credit system work?
Do I get commercial rights over the images I generate?
Where is the data stored?
Is the content marked as AI-generated?
Is there an API?
Which languages are supported?
What is the commitment period?
What is the difference between the plans?
Should you pick Samsa?
Samsa answers a narrow question well: how does a marketing team produce large volumes of visual content without drifting off-brand? By making custom model training free and unlimited, then aggregating the leading image and video engines behind a single subscription, it turns brand consistency into a default rather than a review step. The absence of feature gating across plans is a genuinely customer-friendly choice, and the compliance work is more than decorative: subprocessors are named individually, the data processing addendum is downloadable without a sales conversation, and EU AI Act content marking is implemented with a free public detector and open-source code.
Two reservations deserve attention before signing. The first is commercial: despite prominent invitations to sign up for free, there is no free tier, and the free trial depends on criteria the vendor does not publish. The second is contractual and more consequential. The pricing page promises that uploads serve only the customer's own models, while the general terms grant the publisher unrestricted and irrevocable internal use of both inputs and outputs, and place ownership of the algorithms trained on them with the publisher. Those two statements sit uneasily together, and no opt-out is offered.
The natural fit is a European marketing or brand team with strict guidelines, a real content volume and a reason to care where its data is stored. Individual creators, teams that need mobile access, and buyers who require contractual certainty that their material will never feed a vendor's research should look closely at the terms first, and ask about the trial before committing to a yearly subscription.
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