Content licensing for the AI era
Supertab Connect provides the infrastructure for copyright owners to define and manage how AI systems access their content.
Why you should choose Supertab Connect
Assert ownership
Define exactly how AI systems are allowed to access, use, and reuse your content - across training, search, and generation.
Launch without custom engineering
Supertab Connect manages deployment and monitoring for you, so you can introduce AI licensing without building bespoke infrastructure.
Enforce at the edge
Declaring licensing isn’t enough. Supertab Connect verifies and enforces licenses at the CDN layer, with full auditability.
Really Simple Licensing (RSL)
Join a publisher-first copyright ecosystem where you can assert ownership and maintain control over how your content is consumed by AI systems.
Supertab Connect provides a powerful, purpose-built platform to manage, deploy, and monitor RSL agreements.
Get started in hours, not weeks
Setting up an RSL server and continuously managing access takes time and resources. Supertab Connect manages the deployment and monitoring of RSL for you.
Launch AI licensing without custom engineering work. We take care of implementation and ongoing operations, allowing your team to focus on content, not infrastructure.
No custom CDN builds
No bespoke servers
No maintenance burden
Built for content providers & IP owners
Supertab Connect is built by a team with deep experience working alongside publishers and copyright-driven businesses.
We understand the realities of publishing workflows, rights management, and operating at scale, and we’ve designed Supertab Connect to fit naturally into that environment as AI reshapes how content is accessed.
License your content for the AI era
Join a publisher-first copyright ecosystem built for modern infrastructure.
Deployment
Supertab Connect is the platform for content licensing, designed for copyright owners to manage their engagement with AI.
Developers
Understand the realities of publishing workflows, rights management, and scale in a machine-readable world.
