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DeepDetect+

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Advanced synthetic-media detection

DeepDetect+ combines five governed evidence families with an on-device neural model. Every unavailable or uncalibrated check is reported explicitly instead of being turned into false confidence.

Powered by on-device AI
On-device · Private
HOW IT WORKS

Detection layers.

Five governed evidence families run when applicable. Separate advanced diagnostics explain structure and consistency without becoming a sixth vote.

AUX

Advanced report, separate authority

Edit traces and consistency findings can appear beside the verdict as visible context. They are not hidden score multipliers.

EXPLORE THE CONTRACT →

Multi-layer analysis

Runs five independent detection layers — C2PA, metadata, AI detection, temporal, and frequency analysis.

AI detection

On-device neural network analyzes facial regions, skin texture, and boundary artifacts to identify AI-generated imagery.

Frequency analysis

Spectral analysis detects patterns invisible to the human eye that distinguish synthetic content from authentic media.

Metadata forensics

Examines EXIF, TIFF, IPTC, and PNG metadata for inconsistencies, AI generator signatures, and tampering.

Content provenance

Verifies C2PA content credential signatures embedded by cameras and platforms that support them.

Detailed reports

Export analysis results as PDF or JSON with per-layer breakdowns, confidence levels, and verdict classification.

BUILT FOR

Who it's for.

Journalism & fact-checking

Verify viral clips and images before publishing — cite layer-level evidence in your reporting.

Media verification

Analyze shared photos and videos for signs of AI manipulation before making decisions based on them.

Content authentication

Document the analysis of questionable media with exportable PDF and JSON reports.

Brand protection

Check media involving your brand or team for signs of synthetic manipulation before it spreads.

UNDER THE HOOD

Our technology.

01 Tooling ready

Transformation-corpus tooling

Versioned schemas and deterministic generators enforce source lineage, split isolation and region-mask contracts. Corpus population, locking and calibration remain release gates.

02 Active

Neural architecture

Private on-device analysis contributes supporting evidence without sending local media to a cloud model.

03 Active

Continuous validation

Versioned fixtures and a fail-closed corpus gate prevent authority from increasing without locked validation, calibration and runtime parity.

04 Active

Over-the-air updates

Engine improvements delivered through app updates, automatically enhancing detection capabilities over time.

DeepDetect+ improves through reviewed app updates. Local-file analysis runs privately on your device; supported public-link import is a separate temporary online workflow.

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