If you are sourcing licensed training data in 2026, Troveo and Protege are two of the names that come up. Both were built on the same thesis: the open web is exhausted, the courts have made provenance a real liability, and the data that moves models now is real-world, proprietary, and has to be licensed from whoever owns it. From that shared starting point, the two companies have built different businesses.
One disclosure up front: this comparison is published by Troveo. We have kept it factual, drawn every Protege claim from the company's own announcements and press coverage, and been specific about where Protege is the stronger fit. Buyers can check every number.
What the two companies share
Both are marketplaces rather than data producers. Each aggregates organizations that own valuable data, clears the rights for AI training, and gives model builders one counterparty instead of hundreds of individual negotiations. Both sell to AI labs and to enterprises building their own models, and both stake their reputation on provenance: knowing exactly where every asset came from and what it is cleared for. In a market still full of scraped and gray-area data, that shared commitment is worth naming before the differences.
Where Troveo focuses
Troveo licenses creator and media content at volume: more than 8 million hours of video and 4 million hours of audio, sourced from more than 7,000 rights holders, with around 95 percent of the catalog signed exclusively and more than 20 million dollars paid out to content owners to date. The catalog spans video, audio, text, gaming, robotics, and enterprise workflow data, with every asset carrying its own rights documentation and delivered in training-ready formats.
The exclusivity number matters more than it first appears. Training data is valuable in proportion to its scarcity, and a catalog signed exclusively is data your competitors cannot license somewhere else. Buyers can browse and assemble datasets self-serve in Lens, or work with the team directly on custom sourcing against a model roadmap.
Where Protege focuses
Protege, founded in 2024, describes itself as a governed marketplace for real-world data, and its public positioning covers healthcare, video, audio and speech, and spatial and physical intelligence. Its distinctive depth is in regulated data, particularly healthcare: de-identified clinical records and medical imaging, with Siemens Healthineers among its named partners. The company reported growing its data partner network to hundreds of organizations by the end of 2025, and shares revenue with data partners as their data is used.
It is well funded: a 10 million dollar launch round in 2024, a 25 million dollar Series A in 2025, and a 30 million dollar round led by Andreessen Horowitz in January 2026, per its announcements. Protege also pairs data access with services and expertise across the AI lifecycle, from pre-training through evaluation.
The comparison
| Troveo | Protege | |
|---|---|---|
| Model | Licensed data marketplace | Governed data marketplace |
| Catalog focus | Video, audio, gaming, robotics, enterprise workflow | Healthcare, video, audio and speech, spatial data |
| Scale | 8M+ hours video, 4M hours audio, 7,000+ rights holders | Hundreds of data partners reported |
| Rights model | ~95% of catalog signed exclusively, per-asset documentation | Rights protections and provenance tracking |
| Distinctive strength | Creator and media content at volume, exclusivity | Regulated-domain depth, especially clinical data |
| Access | Self-serve catalog in Lens plus custom sourcing | Curated marketplace plus lifecycle services |
How buyers choose
The honest split is by modality and domain. If your model needs real-world video, natural audio, gameplay, or business workflow data at training scale, Troveo's catalog is the deeper pool, and the exclusivity of that catalog is a competitive moat you inherit as a buyer. If your program centers on healthcare or other regulated data, clinical records and medical imaging are Protege's home turf, and we would point you there without hesitation.
Beyond fit, run the same checks on both of us that we recommend for any vendor in our guide to AI training data providers: ask for rights documentation at the asset level, ask how provenance is verified, ask what happens if a rights holder withdraws, and test delivery formats against your actual pipeline. A marketplace that hesitates on any of those questions is telling you something.
The wider market
Troveo and Protege are not the only two names. Kled AI works the creator-licensing lane as well, and the broader landscape of licensing options, from direct deals to open datasets, is mapped in our guides to AI training data marketplaces and where AI labs source training data. For why rights-cleared sourcing has become the default rather than the exception, see our piece on rights-cleared training data.
Working with Troveo
The fastest way to evaluate us is to look at the data itself: browse the catalog in Lens, pick a slice that matches your model's gap, and ask us the hard provenance questions on a call. Talk to us about what you are training, and we will tell you plainly, as this page does, whether we are the right fit or whether another vendor is.