fiund vs Getty Images (AI licensing)

The core differences

Modality overlap is nearly zero: Getty’s documented AI-training asset is creative stock imagery via negotiated partnerships, and its video catalog is not documented for training use; fiund licenses real-world audio and video.

Scope of rights is the sharp edge: Getty’s Perplexity (October 2025) and OpenAI (June 2026) deals cover display and attribution and explicitly exclude model training; on fiund, explicit AI-training rights are the licence, granted per asset.

Access shape: Getty has no open, self-serve AI-licensing program — training deals are negotiated one by one; fiund starts from a dataset brief.

Where Getty Images (AI licensing) wins

A stock giant whose AI-training licensing runs through negotiated partnerships — there is no open, self-serve program.

• Deep licensed creative catalog
• Contributor revenue share on the Generative AI program

Credible licensed creative imagery for AI training via partnership deals; its headline LLM deals are display-only, and video is not documented for training use.

Where fiund wins

• Provenance you can defend. Every asset carries a signed licence with explicit AI-training rights and separate voice/likeness consent.
• Not already in the crawl. Non-public material sourced from owners, so you aren't paying for what your model has already seen.
• Sourced to brief. If the dataset doesn't exist yet, fiund goes and sources it.

How to choose

Pick on the axis you actually care about. If defensible chain of title and documented consent are the gate, fiund is built for that. If your need matches Getty Images (AI licensing)'s core model — stock catalog — the full Getty Images (AI licensing) review is honest about where it leads.