Whether you run a content platform, financial institution, media company, or government agency — the inability to verify authentic media is a growing liability. Our tools give you the infrastructure to fight back.
GAN and diffusion-based face replacement in videos, flagged frame by frame.
DALL·E, Midjourney, and Stable Diffusion output detection via artifact fingerprinting.
Synthetic speech and audio manipulation, including real-time call authentication.
Temporal inconsistency and compression artifact detection across sequences.
AI-generated PDFs, IDs, and contracts screened for synthetic signatures.
Statistical fingerprinting of AI-written content at scale.
Upload via REST API (image / video / audio). Max 500MB. Supports MP4, MOV, JPG, PNG, WAV, MP3.
Frame extraction, audio separation, normalization, and artifact enhancement prepare the media for inference.
An ensemble of transformer-based and CNN models runs in parallel, producing confidence scores per frame and segment.
Outputs a confidence score (0–100), manipulation probability, and highlighted suspect regions — bounding boxes for video.
Results delivered via webhook or synchronous JSON response within 2–8 seconds.
REST API with pay-per-call pricing. Ideal for startups and mid-size platforms that need detection without infrastructure.
Get API pricing →Dedicated infrastructure, custom SLAs, volume pricing, and priority support for high-throughput platforms.
Talk to sales →Deploy on your own infrastructure. Docker + Kubernetes ready, with full data sovereignty and air-gapped options.
Discuss on-prem →