Hi, We’re Ayman and Dylan, co-founders of Nuanced.
TL;DR: Nuanced detects AI-generated images. We help companies like dating apps, ad platforms, news sites, and marketplaces distinguish human-authored materials from AI-generated content.
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.
Our solution has three parts:
With Nuanced, you’ll never have to compromise user privacy, build costly internal systems, or take on complex integrations.
Nuanced provides a service that identifies AI-generated image content. Our 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 we.
Dylan and I met while studying engineering at the University of Waterloo. Each of us brings over a decade of tech industry experience. I was on GitHub's engineering team for over 7 years, addressing challenges like scaling abuse mitigation for 100+ million users. While at GitHub, I saw AI-driven threats evolve and evade traditional detection techniques, which led me to found Nuanced.
Dylan has a decade of machine learning experience spanning industry and academia, culminating in a 6-year tenure as an Applied AI Scientist at Amazon.
We both agreed that online content creation and consumption were rapidly changing, making it harder to discern reality from convincing hallucinations.