Benchmarking AI Detection at Scale

In a world where AI-generated images are becoming indistinguishable from real photographs, IdentifAI is on a mission to protect people and businesses from digital deception. Their detection platform helps organizations identify deepfakes, AI-generated content, and manipulated media.

To build and maintain world-class detection models, IdentifAI needed a constant stream of fresh AI-generated images from every major generation model. The challenge was immense: they needed to test against Midjourney, DALL-E, Flux, Stable Diffusion, and emerging models—each with different characteristics and artifacts.

Manual sourcing was impossible at scale. Public datasets quickly became outdated as AI models evolved. They needed a programmatic way to generate diverse, high-quality AI images on demand, with full control over prompts, styles, and parameters.

With Apiframe powering their image generation pipeline, IdentifAI achieved breakthrough results in AI detection accuracy. Their models now consistently identify AI-generated content with over 94% accuracy—a benchmark that earned them recognition in multiple Gartner reports on disinformation security.

The automated pipeline generates over 200,000 test images annually, covering every major AI model and style variation. When new models launch, IdentifAI can immediately generate test samples and update their detection algorithms—keeping them ahead of the rapidly evolving AI landscape.

The efficiency gains have been transformative. What once required weeks of manual image collection now happens automatically. Their research team focuses on improving detection algorithms instead of sourcing test data, accelerating their development cycle by months.