"Detecting Authenticity in the age of AI"
Nuanced detects AI-generated images. They help companies like dating apps, ad platforms, news sites, and marketplaces distinguish human-authored materials from AI-generated content.
Founded by Ayman Nadeem and Dylan Drover
Nuanced is solving the authenticity crisis
No one wants to lose users because of fake AI content. Consumers lose trust in a platform flooded with AI-generated content, risking churn and reputational damage.
As AI-generated content surges, distinguishing it from human-made material becomes vital for trust and authenticity. Existing detection technologies fall short, resulting in a $78B annual deepfake expense, and amplify growing problems such as misinformation and identity verification.
Their solution has three parts:
- Easy integration via their API.
- Privacy-first, custom zero PII models.
- Staying ahead of AI-generated threats with their dedicated research team.
With Nuanced, you’ll never have to compromise user privacy, build costly internal systems, or take on complex integrations.
How it works
Nuanced provides a service that identifies AI-generated image content. Their models are trained on a wide array of architectures, such as Dalle-3, Midjourney, and SDXL, with continuous integration of data from the latest AI image generators. As AI-generated images evolve, so do they.
