Wodan.ai: Secure, Privacy-Preserving AI for Mission-Critical Industries

Wodan.ai is a cutting-edge AI platform engineered to deliver end-to-end encryption for AI models and sensitive data, enabling organizations to harness the power of artificial intelligence without compromising privacy or security. Built on Fully Homomorphic Encryption (FHE), it ensures that data remains encrypted in use, in transit, and at rest—protecting confidential information across healthcare, finance, defense, intelligence, aerospace, and manufacturing sectors. With a native Zero Trust architecture, cryptographic attestation, immutable logs, and seamless integration into existing systems, Wodan.ai empowers enterprises to comply with stringent regulations like GDPR, HIPAA, DORA, and ITAR/CMMC while maintaining full data ownership. Designed as a thin API layer, it integrates effortlessly with cloud, on-prem, and edge environments, supports popular frameworks like PyTorch and Scikit-learn, and enables secure collaboration across international teams—all without exposing raw data. The platform offers scalable pay-per-use billing, one-click containerized deployment, and a SaaS console for real-time monitoring and audit readiness.

Key Features:

• Fully Homomorphic Encryption (FHE) for end-to-end data and model protection
• Zero Trust AI security with cryptographic attestation and identity verification
• Encryption-in-use, in-transit, and at-rest to eliminate data exposure risks
• Native support for regulated industries: healthcare, finance, defense, intelligence, aerospace, manufacturing
• Seamless integration with existing ML pipelines (cloud, on-prem, hybrid, edge)
• Compatibility with standard frameworks: PyTorch, Keras, Scikit-learn
• Containerized deployment for air-gapped or high-security environments
• Client-side API for encryption, decryption, and key management
• Server-side runtime for secure model execution
• Immutable logs for chain-of-custody and audit compliance
• Pay-per-use billing with metrics collection for chargeback tracking
• One-click deployment via container images
• SaaS console for monitoring throughput, latency, and key events
• Secure cross-organization collaboration without data sharing
• Support for encrypted biometric recognition and alternative data sources (e.g., satellite imagery, social media)
• Use of encrypted data for sensitive tasks: threat detection, credit scoring, fraud detection, algorithmic trading, KYC/KYB/KYT
• Demo booking available with classified-equivalent test data
• No code refactoring required for integration

Pricing: Wodan.ai operates on a pay-per-use billing model, making it ideal for scalable deployment from lab prototypes to enterprise-wide systems, with no upfront hardware costs. A free demo is available to experience secure AI processing firsthand.

Conclusion: Wodan.ai sets a new standard in secure AI infrastructure, offering unparalleled data privacy and compliance for high-stakes industries through advanced encryption and Zero Trust principles—making it a trusted partner for organizations that demand absolute control over their sensitive information.