Understand the origin of every asset.
Origin is the public name for Originality: how likely it is that a piece of work is an authentic, human-made original rather than AI-generated or a near-duplicate of something that already exists, read from the pixels themselves.
What it reads
The visual content of the work alone. Origin never looks at the brief or the brand profile, only the frames or image, so its read stays independent of everything else the run touches.
The likelihood that the work came from authentic optical capture rather than a generative model, weighed most heavily of the three because it is the question most likely to carry regulatory weight.
Whether the work's visual fingerprint is distinct from known reference material, or a near-duplicate of something already in circulation.
Observable signs of real optical capture: sensor noise, depth-of-field physics, chromatic aberration, natural lighting inconsistency, the opposite of the hyper-consistency typical of synthesis.
What it doesn't do
Returns confidence, not a verdict
A borderline read stays visibly borderline instead of getting rounded to a clean yes or no.
Evaluates the visual content directly
A file can claim anything in its EXIF data. Origin looks at the actual pixels, which is why it is a separate signal from Custody rather than folded into it.
Works from the asset itself
Visual authenticity and human-origin confidence work from the asset alone; uniqueness improves as the reference corpus grows, but the other two dimensions don't depend on it.
Where it shows up
Legal and compliance
Human-origin confidence is the signal behind the EU AI Act Article 50 disclosure clause.
See the compliance record
How an Origin read becomes a disclosure requirement in the 24-clause check.
See the full formula
How Origin combines with the other four signals into the single IQ Score.
Get a real read on human-origin confidence
Human-made, synthetic, or somewhere between, scored from sensor noise, depth-of-field physics, and lighting consistency in the actual pixels.
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