For AI teams choosing a data vendor
Who to shortlist, and what to ask them
Honest vendor lists for RLHF, red teaming and evaluation data, with Pathwize as one row, and guides on the two questions regulated buyers ask first: residency and provenance.
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Vendor shortlist
Top RLHF vendors in 2026
The companies labs and enterprises shortlist for RLHF, preference and expert demonstration data, compared on the things that decide a contract: who does the work, how it is priced, and where the data lives.
Vendor shortlist
AI red teaming providers in 2026
Red teaming a generative model takes two things: software that runs attack libraries continuously, and people who think of the attack the library does not have yet. The vendors split along that line.
Vendor shortlist
Independent model evaluation services compared
Independent evaluation means someone who did not build the model grades it, with rubrics the buyer can inspect. Three kinds of provider do this: benchmark bodies, evaluation software, and expert graders.
Vendor shortlist
Domain expert data providers in Europe
If your data cannot leave the EU, the US vendor shortlists do not help. These are the providers with a European entity, what they actually deliver, and where the residency promise holds.
Guides
Guide
AI training data with EU data residency
Residency is not a checkbox on a vendor's website. It is four questions with written answers: where the data is stored, where it is processed, who can see it, and which company can be compelled to hand it over.
Guide
How to verify that RLHF data was produced by humans
The question behind every RLHF purchase in 2026: did a qualified person actually produce this, or did a contractor paste the prompt into a model. You cannot tell from the data alone. You can tell from the record around it.