fiund vs Protege

The core differences

Philosophically the closest pair here: both are governance-forward marketplaces where rights and provenance are the pitch. The delta is supply — Protege spans healthcare, video (Calliope’s TV, film, news, and sports hours), and spatial data; fiund concentrates on real-world audio and video.

Protege is venture-scaled — $55M raised across 2025–2026 with a16z among backers and hundreds of data partners; fiund is the smaller, brief-driven operation.

Both are deal-based with no public fee schedule. On fiund, licence terms with explicit AI-training rights and consent records attach to the asset itself rather than being negotiated per engagement.

Where Protege wins

A governed marketplace for AI training data, venture-backed, provenance-forward messaging.

• Governance-forward like fiund
• Well-funded and credible - $55M raised across 2025–2026, a16z among backers

Closest in philosophy to fiund on governance; compare breadth of modality and supply relationships.

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 Protege's core model — licensed marketplace — the full Protege review is honest about where it leads.