Prolific built its name giving academic researchers verified study participants on demand, then rode that infrastructure into a bigger market: human data for AI. Today it sells preference tuning, safety evaluations, and human feedback from representative populations to teams at companies like Google, Hugging Face, and Ai2, alongside the original research business.
That dual identity means two very different people search for "Prolific alternatives." If you are a researcher looking for study participants, there is a short honest answer below. The rest of this guide is for the other searcher: the AI team deciding where to get human feedback, evaluations, and training data.
What Prolific is known for
Prolific's asset is a large pool of verified, vetted participants, screened for quality and recruitable against demographic quotas, which is what "representative populations" means in practice. On top of it the company has built AI-specific products: preference tuning and safety evaluations for language models, a human feedback API, and its HUMAINE framework for model evaluation. The pitch is speed and representativeness: real, verified humans at scale, in hours rather than weeks, on a self-serve platform.
That shape makes it strong for evaluations that need ordinary humans at scale, human baselines, opinion and preference distributions, safety ratings across demographics. It is a different tool from the expert networks, whose value is depth rather than representativeness.
If you need research participants
The academic answer, briefly: CloudResearch and its Connect platform are the most direct participant-pool competitors, Amazon Mechanical Turk still exists at the budget end with well-known quality tradeoffs, and university participant pools remain the default for student samples. Panel companies serve larger commercial studies. If that was your question, that is the list. The rest of this guide is about the AI side.
Alternatives for AI evals and human feedback
If you are buying human data for models, the market splits by what kind of human you need. For representative crowds at scale, Toloka comes closest to Prolific's model, with managed global crowds moving upmarket into AI data work. For expert depth rather than representativeness, Mercor and Handshake AI run expert networks, recruiting working professionals and university-pipeline PhDs respectively. Surge AI is the premium name for frontier-grade preference data and evaluation. Scale AI runs the largest full-stack programs, with the Meta ownership caveat. Micro1 and AfterQuery round out the expert side, and our guide to RLHF data providers maps the feedback market in full. For micro1 specifically, see our guide to micro1 alternatives.
When the answer is data, not feedback
Human feedback shapes how a model behaves using knowledge it already has. It cannot give the model knowledge of the world it never saw. Video models need real motion, voice agents need natural conversation, world models need gameplay and first-person footage, and agents need genuine workflow traces. No participant pool produces that; it has to be licensed from the people who own it. That market is covered in our guides to AI training data marketplaces and where AI labs source training data.
The landscape
| Provider | Category | Best for |
|---|---|---|
| Prolific | Verified participant pool | Representative human feedback and evals at speed |
| Toloka | Managed global crowds | Scaled human data with global reach |
| CloudResearch | Participant platform | Research studies, the closest academic alternative |
| Surge AI | RLHF and evaluation | Frontier-grade preference data |
| Scale AI | Full-stack data services | Very large programs, Meta caveat applies |
| Mercor | Expert marketplace | Domain-expert demonstrations and evals |
| Handshake AI | Expert network | PhD-level reasoning data |
| Micro1 | Expert recruiting | Vetted specialists |
| AfterQuery | Expert data and benchmarks | Benchmarked SFT and RLHF data |
| Troveo | Licensed data marketplace | Rights-cleared video, audio, gameplay, and business data |
How to choose
Decide which kind of human, or whether you need humans at all. Representative feedback from ordinary people, safety ratings across demographics, human baselines: that is Prolific's home game, with Toloka the nearest alternative. Expert judgment in specialized domains: that is the expert networks. And if your model's gap is contact with the real world rather than human judgment about its outputs, no pool or network fills it, that is licensed data.
Then the standard checks: how participants or experts are verified, what quality control sits on top, who owns the resulting data, and whether the vendor's speed claims survive your actual project spec.
Where Troveo fits
Troveo is not a participant pool or an expert network. Troveo licenses the real-world data those humans cannot produce: video, audio, gameplay, and business data from more than 7,000 rights holders, cleared for AI training with documentation per asset and delivered training-ready. Teams commonly combine the two, licensed data to teach the model the world, human feedback to tune how it behaves. Browse the catalog in Lens or talk to us about which half of the problem you have.