Use Ai.Rax to monitor, detect, and flag deepfakes and machine-generated content across your entire digital infrastructure with clinical precision.
Multi-modal neural forensics to verify digital authenticity across every medium.
Our neural engines are trained on the latest generative adversarial networks, keeping coverage current as new content sources emerge.
Enterprise-grade latency for high-volume streaming data monitoring.
On-premise deployment options and zero-knowledge data processing protocols for sensitive industries.
Connect Ai.Rax to your existing CMS, Social Platform, or Enterprise Communication tools with three lines of code.
Ai.Rax Blog
Field-tested research, product updates, and policy analysis on synthetic media — from the Ai.Rax team.
As AI generation tools become more accessible and sophisticated, the line between human-created and synthetic content has grown increasingly blurry. What was once limited to stilted, error-ridden text…
As generative AI tools become more accessible, synthetic content is flooding every corner of the digital landscape: from student essays and marketing copy to deepfake images, AI voice phishing scams,…
If you’ve ever wondered if a viral social media video is a deepfake, if a freelance writer’s submitted blog post was churned out by a large language model, or if a student’s essay was written entirely…
How global teams put Ai.Rax to work across editorial, trust & safety, and brand workflows.
Editorial teams verify submissions, audit guest contributions, and protect their masthead from synthetic content slipping into print.
Trust & safety teams integrate the Ai.Rax API to scan uploads at scale and flag generative media before it reaches public feeds.
Marketing and brand-protection teams monitor for impersonation, deepfake spokesperson clips, and synthetic user-generated content across owned and earned channels.
Quick answers to what people ask most about Ai.Rax.
Ai.Rax provides AI detection across every content type: text, image, video, deepfakes, audio. We are your filter for what’s real.
After logging in, select the content type you wish to analyze—text, images, audio, or video—then upload your file to initiate the detection process.
Ai.Rax does not currently offer an API, though API development is already on our roadmap and will be made available in a future release.