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White label AI tools: what to check beneath the logo.

A white label AI tool runs under your brand instead of the vendor's. Depth varies widely: some only swap the logo, while complete ones also cover your domain, login and single sign-on, notification emails, exports and help content. Then check multi-tenancy for separate clients or brands, how resale pricing works and who answers support, because every gap puts the vendor's name in front of your clients.

How deep the white labelling goes

A logo and colour swap is the surface. Below it sit a custom domain, set up with a CNAME record and a TLS certificate for your hostname; a login page under your brand, with single sign-on to your or your clients' identity provider; notification emails sent from your domain, which needs SPF, DKIM and DMARC records so they are not treated as spam; exports, file names, share links and PDFs free of the vendor's name; and help content, status pages and error messages that speak in your voice. The quickest test is to click through every screen, trigger every email and export every file type, looking for the vendor.

What white labelling cannot hide

White labelling governs the experience, not the legal supply chain. Your clients' data processing agreements must still list the vendor, and its model providers, as subprocessors. Security questionnaires will ask about the underlying infrastructure, and the honest answer names it. Provenance can point back too: C2PA Content Credentials identify whoever signs the manifest, so ask whose name appears in the credentials on exported files. Model providers' terms also flow down to end users through the vendor's contract. None of this weakens the commercial case; it means resellers should present the vendor as a disclosed subprocessor rather than a secret.

Multi-tenancy for clients and brands

Resellers and multi-brand groups need tenants: separate spaces with their own users, brand rules, assets and settings, isolated from one another at the data level rather than by folder permissions. Check that tenants can have different SSO connections and admins, that usage and audit logs are kept per tenant, and that a tenant can be exported or closed without touching the others. The reseller needs a level above that: creating tenants, seeing usage across them and supporting users without logging in as them. Synthetic White works this way, with each client in a separate workspace with its own brand hub, under the reseller's logo, colours, domain and login.

Resale pricing and the support model

White label pricing usually combines a platform fee with usage, and resale works only if usage is reported per client in enough detail to invoice and answer queries. Check minimum commitments, how price changes from model providers pass through, and whether you can set your own client prices and margins. Support needs a clear split: the reseller answers first-line questions under its own name, the vendor handles second-line technical issues, and escalation paths and response times are written down. Keep your client service levels inside the vendor's own, because a promise the vendor has not made to you is one you cannot keep.

Updated 25 September 2026

Questions

White label AI tools, answered.

What is a white label AI tool?

Software built by one company and run under another company's brand, with its logo, colours, domain and login. Brands use white label AI studios to give teams a controlled internal tool; agencies use them to offer AI production to clients as their own service without building the technology.

Can clients find out who the white label vendor is?

Through contracts and compliance, yes, and they should. Data processing agreements list subprocessors, security reviews ask about infrastructure and provenance metadata may name the signer. White labelling controls the day-to-day experience and the commercial relationship; it is not a way to hide the supply chain from a client's legal team.

Should an agency white label an AI studio or build its own?

Building means choosing models, writing orchestration, passing security reviews and keeping up as models change, a long engineering commitment for most agencies. White labelling reaches market faster and moves that work to the vendor, at the cost of depending on its roadmap. Either way, negotiate exit terms before you sign.

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