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Cooming soon on...

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Deepfakes represent
a threat to:

Information Security

Media Materials Integrity

Public Trust

News Manipulation

Fraud

Defamation

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Why to choose us?

Detect
accuracy

It detects deepfakes with an accuracy of more than 95%.

Authenticity
certification

It certifies the authenticity of digital materials using the blockchain thenology.

AI
analysis.

It uses a tehnology of AI analysis of media files to detect manipulation.

Transparent
History

The analysis history is stocked on the blockchain for an audit.

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Roadmap

60%
Phase 1

AI Algorithm

We plan to finish the development of the AI Algorithm in the next 3 months using:

  • Audio Files
  • Video Files
  • Photo Files
30%
Phase 2

Presale

Starting the presale in 3 stages:

  • Early bird
  • Second wave
  • Last chance
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Phase 3

Integration

Development of a robust, security-certified system within a blockchain framework to ensure data integrity, enhance trustworthiness, and provide comprehensive protection against unauthorized access, tampering, and cyber threats..

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Phase 4

Exchanges

We will list the coin on most of the exchanges:

  • Mexc
  • Metamask
  • & many others
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Phase 5

Beta Test

The launch will be directed toward a specifically selected group of corporate users, allowing for a controlled rollout to gather detailed insights and valuable feedback while ensuring the system meets their unique needs and expectations..

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Phase 6

Expansion

The final release will be accompanied by targeted promotional campaigns aimed at increasing visibility, engaging key audiences, and driving user adoption by highlighting its unique features and benefits..

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How it works?

The Detection Process

Deepfake Detection refers to the process of identifying and distinguishing manipulated or synthetic media, known as deepfakes, from genuine or unaltered content.

It involves the development and application of various techniques, algorithms, and models to scrutinize media content for signs of manipulation of artificial generation.

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Learn more!

The Deeptruth-AI platform leverages state-of-the-art machine learning algorithms to analyze billions of visual and audio data points. These algorithms continuously learn and adapt, enhancing detection accuracy over time.

The core technology of Deeptruth-AI relies on Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), optimized for image and video. These complex architectures allow the detection of subtle deepfake cues, such as:
Hard-to-notice artifacts (textures, incorrect shadows).
Discrepancies in facial expressions or movements.

Deeptruth-AI doesn’t just detect deepfakes; it also explains the decision, providing users with a detailed report of the analyzed elements:
Why the material was flagged as fake.
How anomalies were identified.

The development of Deeptruth-AI involves a multidisciplinary team of experts, including: Cybersecurity specialists to combat emerging threats. AI engineers specializing in image processing and NLP (natural language processing). Blockchain consultants integrating secure digital certification.

The platform uses blockchain to: Guarantee the integrity and authenticity of genuine materials. Provide complete traceability and a certification history.

Detection Accuracy: +95%, validated through rigorous testing on international deepfake datasets.
Scalability: Capable of processing millions of materials in real-time, thanks to cloud-based optimization.

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