{"slug": "tinfoil-private-ai", "title": "Tinfoil – Private AI", "summary": "Tinfoil, a company offering private AI infrastructure, provides products including Private Chat, Private Inference API, and Tinfoil Containers that run AI models inside secure hardware enclaves to ensure data privacy and verifiability. The company was featured in a Llama case study as the only multi-GPU infrastructure offering production-ready verifiably private AI and is collaborating with Red Hat on open-source confidential AI infrastructure for private inference.", "body_md": "## Our products\n\nFor your private thoughts, projects, and apps.\n\nFor your thoughts\n\n### Private Chat\n\nChat with powerful AI assistants while keeping your conversations private. Available in the browser and on iOS.\n\nFor your projects\n\n### Private Inference API\n\nBuild AI applications that keep all data private. Our API is OpenAI-compatible, open-source, and fully verifiable.\n\nFor your applications\n\n### Tinfoil Containers\n\nRun any Docker image in a secure enclave. Bring privacy and verifiability to applications and custom AI workloads.\n\n## Industry highlights.\n\nTinfoil in case studies, research, and collaborations.\n\nFeatured in a Llama case study as the only multi-GPU infrastructure offering production-ready, verifiably private AI.\n\n[Read more](https://www.llama.com/resources/case-studies/tinfoil/)\n\nCollaborating with Red Hat on open-source confidential AI infrastructure for private inference.\n\n[Read more](https://next.redhat.com/2025/10/23/enhancing-ai-inference-security-with-confidential-computing-a-path-to-private-data-inference-with-proprietary-llms/)\n\nSecurity audit and webinar collaboration on TEE vulnerabilities and confidential computing best practices.\n\n[Read more](https://watch.getcontrast.io/register/trail-of-bits-top-tee-bugs-you-should-fix-before-your-audit)\n\nOur story on building audit-ready, verifiably private AI with Ubuntu as the foundation for multi-platform confidential computing.\n\n[Read more](https://ubuntu.com/engage/tinfoil-confidential-computing-guide)\n\n## Infrastructure built for privacy.\n\nTinfoil makes your AI workloads secure, verifiable, and private.\n\n## Privacy of local.\n\nPower of cloud.\n\nTinfoil runs AI models inside secure hardware enclaves. This gives you the privacy of local AI with the power of cloud computing.\n\n### Other providers\n\nClosed Source Models\n\n- Provable Zero Data Retention\n- Cloud Convenience\n- LowSetup costs\n- LowComplexity\n- GoodScalability\n\n- Zero Trust\n- Private Observability\n\n### Local AI\n\nOpen-source & Custom Models\n\n- Provable Zero Data Retention\n- Cloud Convenience\n- HighSetup costs\n- HighComplexity\n- PoorScalability\n\n- Zero Trust\n- Private Observability\n\nOpen-source & Custom Models\n\n- Provable Zero Data Retention\n- Cloud Convenience\n- LowSetup costs\n- LowComplexity\n- GoodScalability\n\n- Zero Trust\n- Private Observability\n\n## Frequently Asked Questions\n\nHave a security or privacy question?\n\nDetailed answers on what Tinfoil can and cannot see, how secure enclave attestation works, what would happened with legally-compelled disclosure, and more.\n\n[Security and Privacy FAQRead the Security and Privacy FAQ](/security-and-privacy-faq)\n\n### How does Tinfoil protect my data?\n\n### What does end-to-end privacy mean?\n\n### How is Tinfoil different from typical AI security approaches?\n\n### Is there a performance overhead when using Tinfoil?\n\n### Is Tinfoil compatible with closed-source models like GPT-5 and Claude?\n\n### What analytics and observability does Tinfoil offer?\n\n### Can I deploy my own AI models?\n\n### What type of workloads are suitable for Tinfoil?\n\n### Can I use Tinfoil with coding agents and other third-party clients?\n\n### Can I integrate Tinfoil with my existing application?\n\n### Can I keep server-side data and state?\n\n### Will Tinfoil eventually consider using fully homomorphic encryption?\n\n## Our Mission\n\nTinfoil was founded to create the private garden for thought.\n\nAs AI becomes more personal, omnipresent, and powerful, protecting the privacy of our conversations, thoughts, memories, and intellectual property is what preserves human relevance. AI should be an exoskeleton that empowers humans rather than replaces them. We are building the technical privacy safeguards to make this possible, using encryption, secure hardware, and other means to make it impossible for third parties to access your brain: a prerequisite for human empowerment and flourishing.", "url": "https://wpnews.pro/news/tinfoil-private-ai", "canonical_source": "https://tinfoil.sh", "published_at": "2026-07-24 03:52:19+00:00", "updated_at": "2026-07-24 04:22:39.195778+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-infrastructure", "ai-safety", "ai-products", "ai-tools"], "entities": ["Tinfoil", "Llama", "Red Hat", "Ubuntu"], "alternates": {"html": "https://wpnews.pro/news/tinfoil-private-ai", "markdown": "https://wpnews.pro/news/tinfoil-private-ai.md", "text": "https://wpnews.pro/news/tinfoil-private-ai.txt", "jsonld": "https://wpnews.pro/news/tinfoil-private-ai.jsonld"}}