How CAPE Works

A sophisticated pipeline that intelligently processes and protects sensitive data through advanced NLP and context-aware pseudonymization

Input Handling

Receive and preprocess text data with intelligent parsing and validation

Named Entity Recognition

Leverage BERT-large-cased-finetuned-conll03-english for precise entity identification

Context Classification

Utilize DeBERTa-v3-base to understand contextual relationships and sensitivity levels

Policy Engine

Apply intelligent privacy policies based on context, entity type, and sensitivity

Pseudonymization

Generate consistent, reversible pseudonyms while maintaining data relationships

Output to LLMs

Deliver privacy-protected data optimized for large language model consumption

Ready to Experience CAPE?

See how our advanced pipeline transforms your sensitive data into privacy-protected, LLM-ready content.

Performance & Models

Powered by state-of-the-art models with exceptional accuracy across diverse contexts

NER

BERT-Large Model

Named Entity Recognition

dbmdz/bert-large-cased-finetuned-conll03-english

95.2%
Precision
92.8%
Recall
94.0%
F1-Score
CTX

DeBERTa-v3 Model

Context Classification

microsoft/deberta-v3-base

91.8%
Accuracy
89.5%
Precision
90.6%
F1-Score

NER Model Performance

Context Classification Accuracy

Overall Performance Metrics

93.2%

Accuracy

91.8%

Precision

89.5%

Recall

90.6%

F1-Score

Powerful Features

CAPE delivers enterprise-grade privacy protection with cutting-edge technology and intelligent automation

Context-Aware Privacy

Intelligently understands context to apply appropriate privacy measures while preserving data utility and relationships.

Consistent Pseudonymization

Maintains consistency across documents while ensuring the same entities receive identical pseudonyms.

Audit-Ready Mapping

Comprehensive mapping system for compliance audits with full traceability and reversibility when authorized.

Modular Architecture

Flexible, scalable design that adapts to different use cases, industries, and privacy requirements.

Seamless LLM Integration

Optimized output format designed specifically for large language model consumption and processing.

Enterprise Security

Bank-grade security with end-to-end encryption, secure key management, and zero-trust architecture.

Ready to Transform Your Data Privacy?

Experience the power of context-aware pseudonymization and see how CAPE can protect your sensitive data while maintaining its utility.

About CAPE

The Context-Aware Pseudonymization Engine represents a breakthrough in privacy-preserving technology, born from the critical need to protect sensitive data in our AI-driven world.

Our Mission

In an era where artificial intelligence and large language models are revolutionizing how we process information, the challenge of protecting sensitive data has never been more critical. Traditional anonymization techniques often fall short, either compromising data utility or failing to provide adequate protection.

CAPE was conceived to bridge this gap—delivering enterprise-grade privacy protection while preserving the contextual relationships that make data valuable for AI applications. Our context-aware approach ensures that sensitive information is protected without sacrificing the intelligence and insights that drive innovation.

We believe that privacy and utility should not be mutually exclusive. CAPE makes it possible to harness the full power of your data while maintaining the highest standards of privacy protection.

2024
CAPE Development Begins
94%+
Accuracy Rate
6
Processing Steps
100%
Privacy Protected
Scalability

Our Core Values

Privacy First

Every decision is made with privacy and data protection as the top priority.

Research Driven

Built on cutting-edge research in NLP, machine learning, and privacy engineering.

Community Focused

Designed to serve organizations, researchers, and developers worldwide.

Innovation Led

Continuously pushing the boundaries of what's possible in privacy technology.

Built with Cutting-Edge Technology

Machine Learning

BERT Transformers
DeBERTa Models
Custom NLP Pipeline

Privacy Engineering

Context-Aware Algorithms
Consistent Pseudonymization
Audit Trail Management

Enterprise Ready

Scalable Architecture
RESTful APIs
Security-First Design