Description
🖼️ Tool Name:
Zama
🔖 Tool Category:
Privacy-preserving AI & encrypted computation platform; it falls under AI Security, Governance & Compliance, Integrations & APIs, and Data Preparation & Cleaning.
✏️ What does this tool offer?
Zama provides open-source tools and APIs that enable developers to run machine learning and AI models directly on encrypted data using Fully Homomorphic Encryption (FHE).
This allows companies to protect sensitive information—such as financial, healthcare, and biometric data—while still performing AI computations without ever decrypting the data.
⭐ What does the tool actually deliver based on user experience?
• Fully Homomorphic Encryption (FHE) libraries
• AI inference directly on encrypted data
• Privacy-preserving machine learning (PPML)
• SDKs for secure computation
• Encrypted vector search & embeddings
• Tools for building compliant, secure AI pipelines
• Blockchain-friendly encryption infrastructure
• Secure multiparty computation (MPC) support
• Optimized cryptographic performance for real-world apps
• Enterprise-grade FHE dev tools (Concrete, tfhe-rs, etc.)
🤖 Does it include automation?
Yes — Zama includes automation in secure AI workflows:
• Automated encryption & decryption pipelines
• Auto-optimized encrypted computations
• Automated privacy-preserving inference
• Auto-integration with ML frameworks (PyTorch, ONNX)
• Continuous performance tuning for encrypted operations
• Automated compliance-level data protection
💰 Pricing Model:
Open-source + Enterprise licensing
🆓 Free Plan Details:
• Full access to open-source FHE libraries (Concrete, TFHE)
• Developer tools & documentation
• Community support
💳 Paid Plan Details:
• Enterprise SLA
• Dedicated support
• Performance-optimized implementations
• Private deployments
• Custom integrations
• Compliance assistance
🧭 Access Method:
• SDKs (Rust, Python)
• APIs
• Open-source GitHub repositories
• Cloud or on-premise integration
🔗 Experience Link: