Human-centered evaluation for visual AI systems

Prolific helps teams building text-to-image, video generation, and visual interfaces capture human perception at scale.

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Measuring what really matters in visual AI

Visual AI systems are more capable than ever. Models can reason across modalities, follow complex prompts, and generate increasingly realistic outputs.

But evaluation has not kept pace with deployment. Even strong models can produce results that feel uncanny, emotionally flat, or misaligned with real-world expectations. These failures rarely show up in benchmarks, yet they surface immediately when outputs meet users.

Closing this gap requires evaluation methods that reflect how people actually perceive and judge visual content, not just how models score.

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Built for modern visual AI use cases

Text-to-image and video generation

- Evaluate realism, emotional tone, and cultural alignment

- Compare model versions using human preference data

UI and interface generation

Test clarity, usability, and visual hierarchy with real users

Validate whether generated interfaces make sense to people

Creative and brand-sensitive systems

Ensure outputs align with brand, narrative, and audience expectations

Catch perceptual issues before deployment

Built to integrate into your AI workflows

For teams running continuous evaluation or deploying at scale, Prolific integrates directly into existing pipelines. Use our API or partner ecosystem to bring human judgment into your workflows without slowing development.

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