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THE FIRST AND SAFEST SWISS MADE AI TECHNOLOGY.

HybridLLM solves the enterprise AI dilemma by enabling you to use powerful AI models securely without exposing sensitive data or building costly private models.

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Secure AI Integration for Regulated Industries

Hybrid-LLM makes the enterprise AI journey by enabling you to use powerful AI models securely without exposing sensitive data or building costly private models.

Regulatory Compliance

GDPR, HIPAA, financial, and SOC2 - our LLM is secure, regulation-compliant, keeping your data safe. No compliance or legal requirements.

Data Sovereignty

Your data never leaves your secure environment. All at once. Hybrid-LLM puts control into your hands, ensuring total data sovereignty.

Secure Architecture

Our patent-pending technology utilizes a secure hybrid strategy, plus additional data masking for total system hygienization.

1. Local Data Input

Hybrid-LLM begins by interfacing with your data in your secure environment. The system works inside your firewall, on-premise, or within your private cloud infrastructure.

Key Features:

  • • Operates within your existing security perimeter
  • • Works on-premises and private cloud architectures
  • • Integrates with your existing data access controls
  • • No data migration required
Local Data Input
Anonymization & Masking

2. Anonymization & Masking

Our system detects and anonymizes automatically identify sensitive information such as names, addresses, IDs, and financial data, etc., substituting it with tokens or masking techniques.

Key Features:

  • • Automated identification of sensitive data (PII, PHI, financial data, etc.)
  • • Advanced data tokenization that preserves semantic meaning
  • • Customizable rules for industry-specific compliance requirements
  • • Fully auditable masking process

3. Secure External Generation

The anonymized data are securely processed by your choice of LLM provider (DeepL AI, OpenAI, Google, etc.), generating responses without ever exposing your actual sensitive data.

Key Features:

  • • Compatible with all major LLM providers (DeepAI, Anthropic, Google, etc.)
  • • Support for private model deployments
  • • Contextual integrity preservation despite encryption
  • • Secure transmission protocols
Secure External Generation
Local Reintegration

4. Local Reintegration

The generated content is received back into your secure environment where Hybrid-LLM reverses the anonymization, mapping the tokens back to the original sensitive information for contextually-aware compliance.

Key Features:

  • • Intelligent de-mapping of sensitive data
  • • Compliance-level audit logging
  • • Validation to ensure compliance maintenance
  • • Integration with downstream governance workflows

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