Definition
What is white-label AI?
Last updated
Definition
White-label AI is an AI product or service that one company licenses or rebrands as its own, presenting it to end clients under its own brand rather than the original builder's.
White-label AI is the business model that powers most AI agencies right now. The agency takes a vendor's underlying capability (an LLM API, an agent stack, a voice platform) and wraps it in their own brand, pricing, and client relationship. The end client sees the agency. Source-available stacks like Glitch Grow, sold under licenses that explicitly permit rebranding (BSL 1.1), make this clean — no platform branding leaks through to the client.
Why licensing matters
A white-label arrangement is only clean if the underlying license permits it. Many SaaS terms implicitly or explicitly forbid sublicensing, embedding without attribution, or reselling capacity to third parties. The agency model breaks against those terms quickly.
BSL 1.1, used for the Glitch Grow boilerplates, explicitly permits rebranding and client delivery. The one constraint is that the buyer cannot repackage the kit itself as a competing kit. Selling a managed service built on the kit is exactly the intended use.
What “white-label” actually requires
- The product can be branded as the agency, not the underlying vendor
- Pricing is set by the agency, not the vendor
- The client relationship is owned by the agency
- Infrastructure can run on the agency’s accounts, not the vendor’s multi-tenant cloud
Glitch Grow’s deployment model — self-host on your client’s infra, single brand-config JSON to swap logo/domain/colors — is built around those four requirements.
Related terms
Related agents
-
BSK-002
AI Ads Agent
Run paid ads across Meta, Google and TikTok from one approval-gated agent.
-
BSK-003
AI Sales Agent
Send Discord-approved outbound that actually gets replies, not flagged.
-
BSK-005
Voice AI Agent (LiveKit + Sarvam)
Outbound voice agent for COD confirms and appointment calls in 10 Indian languages.