AI

The human intelligence layer for frontier AI

Replace opaque providers with scientifically rigorous training signals and systems.

Trusted by the leaders in AI

Why 85% of top frontier AI labs choose Prolific

A unified infrastructure to design, launch, and manage human data workflows at frontier speeds.

Evaluation and verification
Measure capability, safety, and quality with human evaluations, SME verification, and rubric design.
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Alignment and preference data
Generate preference data, human feedback, and judgment signals to align models with intended outcomes.
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Agentic and safety testing
Test agent behavior, tool use, and multi-step workflows, and uncover vulnerabilities with targeted red teaming.
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HUMAN EVALUATORS

Specialist human intelligence, profiled for advancing models

Behind every evaluation is a carefully profiled, verified human. We combine demographic, behavioral, and domain-level profiling with ongoing verification to surface people who deliver reliable human data, when you need it. 

HUMAINE BENCHMARK

We build custom evaluations from the ground up

HUMAINE is a public benchmark and evaluation framework for assessing model behavior in real-world, human-facing conditions. Developed through peer-reviewed research and ongoing empirical work, it allows model builders to run human-centered evaluations - supporting systematic comparison, diagnostics, and iteration on deployed models.

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Read how Prolific collaborates with industry innovators

Peer-reviewed research using data from Prolific.

Persuasion by AI
The paper shows that certain prompting and post-training methods dramatically increase LLM persuasiveness on political issues — but at the cost of factual accuracy.
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Gemini 3 Pro: Frontier safety framework
The frontier safety framework report for Google’s latest model.
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Carnegie Mellon University
PRISM Alignment Dataset
The award-winning dataset shows how subjective, culturally rooted differences in human feedback shape how large language models interpret and align.
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Human-AI Alignment in Collective Reasoning
The study shows that when simulating group decisions, LLMs sometimes mirror human social biases and sometimes override them.
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Google
Conversational Agents Security Risks
The study finds that many UK adults routinely use conversational agents in ways that pose security or privacy risks.
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Access AI research opportunities