ABOUT US

Building AI that stops AI misuse

We spent years learning how synthetic media is made, and what makes it convincing. We saw early on how that same technology could be used to deceive, and that experience is exactly what was needed to defend against it.

our story

A headstart in detection

Zohaib Ahmed and Saqib Muhammad started Resemble in 2019 to solve a problem in gaming: voice production couldn't keep up with how fast studios shipped, and actors couldn’t scale to meet it. The answer was generative voice, and building it well meant going deep on the underlying models, architecture, training, and data — every layer of how synthetic speech actually gets produced.

That depth gave us unique insight into detecting generative model outputs. As deepfakes emerged and generative AI went from having obvious tells to being a global trust and security problem, we shifted our focus to where the world needed us most: detection.

WHERE WE STAND

Frontier detection models and a unique POV

Today, Resemble AI is focused entirely on multimodal AI detection. Our latest model, DETECT-World, is the first world model for detection. It’s benchmarked against 250+ generators and offers the only zero-day coverage on new ones. But our early experiences have given us a different perspective on detection than many others in this space.

We don’t believe that deepfake detection is purely about answering “Is it AI or not?”. That’s not the question that restores confidence and makes room for using AI for good. The question should be, “Does this deserve your trust?”. Detection is just one layer in a full trust stack that provides the necessary context for more confident decisions. You shouldn’t have to choose between embracing AI and refusing to be fooled by bad actors. At Resemble, we’re on a mission to help you do both.