Your models are outgrowing your evaluations.

Model capabilities are accelerating faster than evaluation methodology can keep pace. Prolific gives frontier AI teams the human evaluation infrastructure to close the gap - verified evaluators, reproducible methodology, results in hours.

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200,000+ verified participants · 38+ countries · 300+ prescreening attributes

Why Prolific for AI evaluations?

Prolific provides the evaluation infrastructure that keeps pace - verified evaluators, reproducible methodology, and the demographic specification your research demands.

You control who evaluates your model

Define your evaluator population with 300+ prescreening attributes. Specify evaluators by demographics, expertise, language, and domain knowledge. The human feedback variable is controlled by you.

Verified humans. Auditable provenance.

Identity-checked evaluators with transparent demographic profiles. You can report who evaluated your model, how they were selected, and why they qualified. The evaluation supply chain your compliance team and your reviewers both need.

Hours to first data

Self-serve projects launch in minutes. Results start arriving within hours. Managed services deliver complete evaluation datasets in days, not the weeks you're used to waiting.

Specify your evaluator population with precision

200,000+ verified participants across 38+ countries. Domain experts in STEM, medicine, law, and engineering. Trained evaluation specialists calibrated to your task requirements. Define exactly who evaluates your model - by demographics, expertise, language, and domain knowledge — then reproduce that cohort across experiments.

FEATURES

Integrate human evaluation into your pipeline

Connect evaluations directly to your development workflow via API. Deploy evaluation tasks programmatically, retrieve structured results, and build human evaluation into your CI/CD pipeline.

FEATURES

Self-serve or fully managed. Same methodology.

Launch evaluation projects in minutes through the platform with pay-as-you-go pricing. Or hand the programme to our managed services team - evaluator sourcing, quality assurance, calibration, and project management - while your engineers focus on model development. Both paths use the same verified evaluator pool and the same research-grade methodology.

FEATURES

Managed Services

How fast-moving AI teams use Prolific

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

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Unpacking human preference for LLMs - The HUMAINE framework

The evaluation of large language models faces significant challenges. Technical benchmarks often lack real-world relevance, while existing human preference evaluations suffer from unrepresentative sampling, superficial assessment depth, and single-metric reductionism.

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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.

Gemini 3 Pro: Frontier safety framework

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

End-to-end evaluation FAQ

How quickly can we start collecting evaluation data?

Our platform is designed for immediate deployment. Self-serve projects can launch in minutes, and results can start to arrive within hours. Managed services projects will depend on various factors relating to project scope, evaluation requirements, and other considerations.

How much work will my team need to do versus what Prolific handles?

With our self-serve platform, you control the process. We provide the infrastructure and participants. You design tasks in your evaluation tool or our AI Task Builder, set criteria, and analyze results.

With managed services, we handle everything from participant sourcing to quality assurance. You define requirements and get verified results.

How does Prolific ensure evaluation data quality for AI evaluations?

We combine participant verification, specialized qualification tests, credentials verification, performance tracking, and automated quality checks to ensure a high-quality participant pool. For AI-specific evaluations, we also recommend using AI Taskers or Domain Experts when you need specific skills or expertise for your evaluation tasks.

How does Prolific compare to traditional labeling providers?

Traditional labeling providers use large annotation teams on hire. They offer little transparency into their profiles and selection criteria.

Prolific gives you direct access to verified evaluators through self-serve or managed options. This gives you both the quality assurance of managed services and the transparency and control of direct access, with much faster turnaround times.

Close the gap between your models and your evaluations.

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