Tinfoil is a secure AI platform that ensures privacy and verifiability for AI applications by enabling on-prem privacy with cloud scalability, utilizing NVIDIA confidential GPUs.

Key Features:

• Secure from Cloud Providers (Zero trust, Zero access, Zero retention)
• API compatible drop-in integration for instant setup
• Protects data, prompts, and models with end-to-end privacy
• Works with existing security measures (plug & play)
• Cloud-native deployment for scalability
• Bare-metal performance powered by NVIDIA Hopper and Blackwell architectures
• NVIDIA and AMD confidential computing backed privacy
• Supports the largest AI models with no performance overheads
• Works with any off-the-shelf and custom models
• Open-source and cryptographically verifiable stack
• Hardware-backed security through trusted execution environments and cryptographically-verifiable runtime attestation
• SOC 2 Type I Compliant

Use Cases:

• Personal: Private Chat, Private Data Analysis, Private Journaling
• Startups: AI applications that integrate private data, Private Content Moderation, Enterprise-Ready Security
• Enterprise: AI Copilots for Proprietary Code, Private RAG and AI applications, Private training and fine-tuning, Secure proprietary models
• Building private AI applications with Tinfoil Inference API (Python, Node.js, Swift, Go)
• Experiencing private chat with AI via Tinfoil Chat

Benefits:

• No involved code or workflow changes for integration
• Helps comply with data privacy laws
• Transparently protects data while maintaining full utility and performance
• No need for PII redaction, special data handling, or modifications to models
• Guaranteed Zero Data Retention
• Low setup costs and complexity compared to on-prem solutions
• Good scalability
• Zero Trust approach
• Private Observability
• Near-identical performance to unencrypted AI inference and workloads