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MEDIA TRUST, BUILT FOR TEAMS VISION

When media moves at scale,
context moves with it.

AI Fake Scan is building an evidence-led media intelligence layer to help organizations investigate AI-generated and manipulated images and video—then move each case into the right human workflow.

Discuss an enterprise workflow Explore the API vision ↓
Enterprise API access and service terms are in development; fit and scope are discussed case by case.
IMAGESVIDEOPROVENANCEHUMAN-IN-THE-LOOPIN DEVELOPMENT
THE NEW MEDIA REALITY01 / WHY NOW

The question isn’t just
“is this AI?”

It’s where did this file come from, what can the evidence support, what remains unknown—and who needs to act next? Enterprise review needs more than a confident-looking score. It needs context that can travel with the case.

BUILT AROUND REAL WORKFLOWS

One media question.
Many teams on the line.

Explore a common evidence layer that can be shaped around your process, policies and review capacity.

01 / WORKFLOW

Trust & safety

Give review teams a structured starting point when user-submitted media raises questions about origin, manipulation or synthetic content.

02 / WORKFLOW

Marketplaces & platforms

Shape an intake workflow for media checks, evidence capture and human review across high-volume content operations.

03 / WORKFLOW

Newsrooms & research

Bring provenance, visible markers and media inspection into a repeatable verification process before a story moves forward.

04 / WORKFLOW

Fraud operations

Explore how media evidence could support existing escalation paths for impersonation, synthetic identity and suspicious submissions.

These are target workflows, not customer deployments or a claim that every listed use case is currently supported.

A CASE, NOT JUST A SCORE

Evidence in.
A clearer next step out.

The product direction is to make media checks legible to both machines and people: preserve the signals, show their coverage, and leave decisions with the right owner.

  1. 01

    Ingest

    A controlled path for submitting a media asset and the context your workflow already holds.

  2. 02

    Inspect

    Run available checks across file context, provenance, visible markers and supported image or video signals.

  3. 03

    Explain

    Return evidence and coverage in distinct fields, with uncertainty represented explicitly.

  4. 04

    Route

    Send the case to the right queue, policy or human reviewer in your own system.

Evidence has boundaries. Credentials can document declared edits, not prove the full scene. Missing markers are not proof of authenticity. Passive visual findings remain inconclusive until calibration supports a stronger claim.

Read the methodology
ENTERPRISE API / IN DEVELOPMENT

Bring media review
into your stack.

We’re shaping an API-led path for teams that need media inspection inside an existing product, moderation queue or case-management system. Start with your workflow; define the right inputs, outputs and review controls together.

  • Structured evidence fields designed for downstream systems
  • Coverage and uncertainty surfaced alongside findings
  • Integration scope shaped around your media and review flow
Start an API conversation
CONCEPT / RESPONSE SHAPEJSON
{
  "case_id": "case_example",
  "status": "review_required",
  "media": { "type": "video", "coverage": ["provenance", "frames"] },
  "evidence": [
    { "signal": "content_credentials", "state": "not_found" },
    { "signal": "passive_visual", "state": "inconclusive" }
  ],
  "next_step": "human_review"
}

Illustrative schema only. This endpoint is not live, and the example is not a production response.

DESIGNED FOR SCRUTINY

Trust is a system property.

Enterprise readiness starts with accountable claims, predictable handling and an honest boundary between automation and human judgment.

Evidence over certainty

Keep provenance, file context and visual signals distinct. Make an inconclusive result a valid outcome.

Human decisions stay human

Use signals to prioritize investigation. Don’t treat an automated scan as proof about a person or an event.

Scope data with care

Review retention, access and data flows against the published privacy terms before planning a deployment.

Read our privacy policy
A BETTER MEDIA WORKFLOW STARTS WITH A CONVERSATION

Bring us the hard
case in your workflow.

Tell us what your team needs to review, how decisions get made today and where evidence should land. We’ll map the opportunity and the open questions together.

Talk with our team Enterprise API and service scope are being developed.