For gaps that automation can't fix.

Your model needs the right person when decisions become subjective. Close the gap with verified human signal, exactly where your model needs it.

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Why Prolific

200,000+ AI model engagement studies run on Prolific.

A third of ICML 26 position papers agree: benchmarks, LLM judges & majority-vote labels fail at audit. The best models develop with the perfect blend of automation and human insight.

BEHAVIOR

How do humans actually behave?

Get real task execution and interaction data from a verified, diverse population, to form the ground truth your model needs to navigate like a real person.

TASTE

Is my model's output genuinely good, or just liked?

Preference is what someone chooses, taste is whether it's actually good. Learn where your model's output lands with real arbiters of taste, who are qualified and selected for their discernment.

JUDGMENT

When the wrong call has consequences

A threshold set by the wrong sample is a risk no one can afford. Draw the signal from qualified evaluators, credential-checked Experts and representative populations, so the call your model makes holds up.

What customers say

"Red-teamers are doing incredible work: surfacing nuanced adversarial use cases that we wouldn't have otherwise caught."

Solianna Herrera: Technical Program Manager, Microsoft

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Why AI teams choose Prolific to improve model engagement

Trusted by AI/ML developers, researchers and leading organizations across industries.

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Unpacking human preference for LLMs - The HUMAINE framework

Our human-centered leaderboard ranks frontier AI models by how real, diverse users actually experience them — not just technical benchmarks. Featured at ICLR 2026.

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Gemini 3 Pro: Frontier safety framework

The frontier safety framework report for Google’s latest model.

Building breakthrough AI faster

Ai2 reduced human data collection from weeks to hours with Prolific, building state-of-the-art multimodal AI models faster without sacrificing quality.