Tinfoil provides verifiably private AI execution using confidential computing technology within secure hardware enclaves. The platform offers both a private chat interface and an OpenAI-compatible inference API for developers building data-sensitive applications. This approach delivers the scalability of cloud AI while ensuring provable zero data retention and zero trust for all workloads.
Funding
Funding not disclosed
Founders
Product
Problem
AI inference and web analytics often require processing sensitive user data in the cloud, raising significant privacy concerns. Traditional methods rely on trust in cloud providers, potentially exposing user queries, personal information, and proprietary data to unauthorized access. Compliance with data privacy regulations adds further complexity and cost.
Solution
Tinfoil provides a confidential computing platform that enables privacy-preserving AI inference and web analytics. By leveraging secure enclaves and cryptographic techniques, Tinfoil ensures that user data remains protected throughout the processing lifecycle. The platform allows users to interact with AI models and gain aggregate insights without exposing the underlying data, prompts, or conversations. Tinfoil's solutions are designed to integrate seamlessly into existing AI workflows, offering a balance between robust security and high performance. This approach allows organizations to maintain data sovereignty, comply with privacy regulations, and build trust with their users.
Target Audience
Tinfoil targets enterprises, startups, and individual developers who require secure and private AI solutions, particularly those working with sensitive data in regulated industries.
Features
- Hardware-backed security using trusted execution environments (TEEs) and runtime attestation
- End-to-end encryption to protect data, prompts, and models
- API-compatible integration for drop-in deployment with minimal code changes
- Support for open-source and custom AI models, including DeepSeek, Llama, and Mistral
- Private observability tools for aggregate telemetry data without compromising user privacy
- Verifiable code transparency through open-source code and automated builds
- SOC 2 Type I compliance
- Support for NVIDIA Hopper and Blackwell architectures for bare-metal performance