Freedom report

One barScore 5.3

  • Runs widely0 of 6 device platforms
  • DocumentedPlans, terms and facts published

Exiphore is a forensic media authentication platform that examines video, images, audio, documents, and text for signs of synthetic generation or manipulation. It combines eight independent families of forensic evidence, pooling related measurements to avoid double-counting. For each exhibit, it can provide a finding, evidence breakdown, confidence interval, quality ceiling, custody record, examiner adjudication, and digest-sealed PDF report. Ambiguous evidence can result in an inconclusive finding. A qualified, named examiner must review the measurements and sign before a result is released as an expert opinion. Exhibits can be submitted individually, in batches, by URL, or from a monitored path; fingerprints can also be linked across cases as investigative leads. The platform runs on customer infrastructure, including air-gapped and private-cloud deployments, and requires no specialised accelerators on standard server hardware. Original exhibits are kept in a content-addressed, write-once locker, with seals re-verified before examination and hash-chained custody and audit records. Five access roles and administrator-issued accounts are available, with per-case classification from unclassified through secret. Exiphore is paid, with pricing on request, and access is offered by demo request. Onboarding includes installation, examiner training, and validation against the customer’s casework. The maker cautions that its results on a balanced 60-image sample from one public corpus do not guarantee casework performance.

Who it is for

Exiphore is aimed at law-enforcement and security agencies, police units, forensic laboratories, prosecution and legal teams, financial-crime investigators, and intelligence teams. It suits organizations that can deploy on their own infrastructure and include qualified examiners in review and sign-off.

What is good

  • Examines video, images, audio, documents, and text.
  • Combines eight forensic evidence families.
  • Supports individual, batch, URL, and monitored-path submissions.
  • Runs on customer infrastructure, including air-gapped deployments.
  • Keeps exhibits in a write-once locker with custody records.

What to know first

  • Paid service with pricing on request.
  • Access begins through a demo request.
  • A qualified examiner must review and sign expert opinions.
  • Reported 60-image sample results do not guarantee casework performance.

Verdict

Choose Exiphore if your organization needs forensic examination of digital exhibits on customer infrastructure, with controlled evidence handling and examiner sign-off. Its paid, demo-request access and required qualified examiner review may make it unsuitable for buyers seeking a self-service tool.

Get started with Exiphore

  1. Request a demo through https://www.exiphore.com/.
  2. Arrange deployment on customer infrastructure, including an air-gapped or private-cloud environment if needed.
  3. Complete installation, examiner training, and validation against your casework.
  4. Submit exhibits individually, in batches, by URL, or from a monitored path.
  5. Have a qualified, named examiner review and sign measurements before releasing an expert opinion.

Questions about Exiphore

What does Exiphore examine?

It examines video, images, audio, documents, and text for signs of synthetic generation or manipulation.

How much does it cost?

Exiphore is paid, and pricing is on request.

Can it be deployed on premises?

Yes. It is installed on customer infrastructure and supports air-gapped and private-cloud deployment.

Does it support batch analysis?

Yes. Exhibits can be submitted in batches as well as individually, by URL, or from a monitored path.

Who founded Exiphore?

The about page names Sonu Kumar as founder and AI lead.

Are named third-party integrations required for examination?

The maker describes no named third-party integrations and says there is no external API dependency in the examination path.

Compared on AI deepfake detection tools

Media types
video, images, audio, documents, text
Face analysis
Yes
Batch analysis
Yes
On-premises deployment
Yes

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