Where did it come from?
Provenance and metadata can link a file to its source. Missing provenance is a reason to look closer, not proof of a fake.
Content trust
Know what your
decision rests on.
Check documents, images and video for edits and AI generation, and see the evidence behind each finding.
The model
Three questions.
A clearer review.
What may have changed?
File forensics and generator traces show where a file may have been edited or made by AI.
Does the context support it?
A genuine file can still support a false claim. Compare it with the rest of the case.
From finding to next step
Make uncertainty useful.
A review should show what is known, what is still open and what to do next.
Illustrative review pattern · not an analysis result
| Observation | What it establishes | Next step |
|---|---|---|
| Original source is missing | The source is not yet established. | Request the original or a supported source record. |
| Two amounts disagree | The submitted values are inconsistent. | Check the itemization and supporting record. |
| A manipulation signal is raised | A supported check found a reason for review. | Inspect the finding and other available evidence. |
Our focus
Evidence your team
can work with.
Start with one recurring review, such as bank statements in a loan file or photos in a claim. We agree on formats, data handling and success measures before you share files.
How we think about evaluationCommon questions
Content trust, explained.
Is AI-generated content always a problem?
No. Its origin matters when a workflow requires particular evidence or disclosure. The question is whether the material is suitable for the decision being made.
Does a detection score prove that a file is fake?
No. A model result is evidence to interpret alongside its limitations and the relevant context. A finding should support review without being presented as certainty.
Can I upload sensitive files through this website?
This website does not accept file uploads. Start with a description of the workflow. Agree on a suitable data-handling process before sharing material.
Content trust
Bring a real review problem.
Let’s define the evidence your team needs before the next decision.
Book a demo