The Technology Behind DeepLysis

Driven by artificial intelligence, empowered by data science.

Data Visualization

GAN Detection Models

Detect synthetic media generated by adversarial networks with state-of-the-art accuracy.

Spectrogram Fingerprinting

Analyze sound waves to catch tampering in speech and audio content.

Facial Landmark Detection

Detect unnatural face movement or overlays with precision.

Temporal Video Analysis

Identify inconsistencies frame-by-frame in video content.

Voice Biometrics

Match voice characteristics against known profiles for authentication.

Real-time AI Pipelines

Fast processing on scalable cloud infrastructure.

Data Science That Drives Insight

We go beyond detection—DeepLysis leverages advanced data science methods to generate forensic-grade insights, anomaly reports, and business intelligence from media and metadata.

Pandas / NumPy
Scikit-learn / XGBoost
Tableau / Power BI
Time Series Modeling
Jupyter / Google Colab
Data Enrichment Pipelines
PostgreSQL / MongoDB

Data Science & Analytics Technologies

Discover our cutting-edge solutions for media forensics and data analysis

Predictive Analytics

Anticipate threats and patterns using advanced regression, forecasting, and classification models.

Anomaly & Fraud Detection

Spot irregularities in audio, video, or metadata with ML-driven anomaly detection.

Natural Language Processing (NLP)

Extract meaning and emotion from transcripts using sentiment analysis and entity recognition.

Time Series Analysis

Model and understand data changes over time with ARIMA, Prophet, and LSTM.

Data Visualization & Reporting

Transform complex data into intuitive dashboards with Power BI, Tableau, and D3.js.

Big Data Engineering

Handle high-volume data with scalable cloud pipelines and distributed processing.

PyTorch
TensorFlow
OpenCV
Python
Rust
Node.js
Librosa
FFmpeg
NumPy
AWS
GCP
MongoDB
PostgreSQL
Tailwind
Next.js

Ready to see DeepLysis in action?