Short pitch (30 seconds)
DeepForgery helps organizations detect AI-generated content and human tampering across documents, PDFs, images, video, and audio, with evidence that supports critical decisions.
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This section mirrors the homepage narrative in media format: short pitch, detailed pitch, technology foundations, security posture, and company mission.
Short pitch (30 seconds)
DeepForgery helps organizations detect AI-generated content and human tampering across documents, PDFs, images, video, and audio, with evidence that supports critical decisions.
Long pitch (editorial version)
DeepForgery is a deepfake and document fraud detection platform combining forensic AI, contextual analysis, and explainable scoring. The solution detects both AI-generated/manipulated content and advanced human forgery, plugs into operational workflows (identity, payments, compliance, moderation), and produces technical outputs that support risk, compliance, and legal review workflows.
Recommended editorial line
DeepForgery turns AI and human forgery detection into an operational trust capability: detect, explain, prove.
The analysis engine uses the same core blocks highlighted on the homepage, combined into one verification chain.
Deep neural networks
Models trained on large datasets to capture subtle AI-generation and human-tampering signals.
Semantic analysis
Detection of logical and contextual inconsistencies across analyzed content.
Artifact detection
Identification of technical traces left by manipulation toolchains.
Structural verification
Checks on metadata and internal file structure integrity.
The security framework aligns with the Technology & Security page for high-sensitivity environments.
2030 Objective
Make document fraud obsolete with an ecosystem where every document is instantly verifiable.
Mission
Democratize access to verification capabilities to protect organizations against disinformation and synthetic fraud.
Ambition
Establish a digital trust standard where forgery detection (AI and human) becomes an operational reflex across industries.
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Mattéo Chevalier
Founder of DeepForgery
Mattéo Chevalier leads DeepForgery with a clear objective: make digital content verification fast, actionable, and accessible for organizations exposed to fraud and disinformation risks.
Recommended short version for articles, media packs, and press releases.
DeepForgery provides AI-generated, AI-manipulated, and human-forged content detection solutions to help organizations secure critical workflows across identity, payments, compliance, moderation, and audit use cases.
Interview requests, background information, op-eds, and event speaking opportunities.
Spokesperson languages: French and English.
Initial response target: within 24 business hours.
The platform covers AI-synthetic/manipulated and human-forged content detection (image, video, audio, document), audit evidence generation, and integration into business workflows.
Primary sectors include banking, corporate finance, insurance, HR, public services, healthcare, and user-generated content platforms.
Yes. Interviews can be arranged in French or English depending on your editorial requirements.
Use the formulations provided in the boilerplate and factsheet, designed for precise and verifiable communication.
Our team can prepare a tailored briefing and demonstration aligned with your topic (fraud, generative AI, compliance, regulation).