AI always leaves traces, we know how to detect them.
Through deep forensic analysis, our detectors can reveal whether content was produced or manipulated by AI, even in the absence of any prior watermark or marking.
Micro-signals & AI fingerprints : The mechanics of detection
Forensic detection relies on analyzing the micro-signals and artifacts naturally left behind by generative models (e.g., pixel-level anomalies, physical and semantic inconsistencies, linguistic biases, etc.).
Each piece of content is analyzed through multiple specialized sub-detectors whose results are then merged.
This hybrid architecture combines traditional forensic analysis with algorithmic detection methods to ensure robustness, explainability, and continuous adaptation to new AI models.
Our expertise, your trusted solution.
A proprietary solution
Our detectors rely on proprietary algorithms built on the analysis of AI artifacts. They are not generative models — they are science against illusion.
Continuous improvement by design
Each time a new generative model emerges, our detectors are updated within days through a continuous integration pipeline.
The threat evolves quickly, so do our defenses.
Core Specialization
During integration, each solution is calibrated and tailored to your specific use case.
This fine-tuned adaptation ensures higher accuracy and an extremely low false-positive rate.
AI is entering every workflow. Detecting it means protecting yourself.
Document fraud, deepfakes, undisclosed generative content — these risks no longer concern only platforms, but every organization.
Our solutions integrate seamlessly into your business processes to detect, trace, and secure all your exchanges.
Prevent risks of fraud or identity impersonation.
Detect AI-generated content hidden within your workflows.
Verify the integrity and provenance of documents.
Strengthen your cybersecurity posture.
Protect your brand and your teams from manipulation.
