Audience
Enterprises, startups and regulated-industry developers seeking a tool that guarantees private model inference and full data sovereignty
About Tinfoil
Tinfoil is a verifiably private AI platform built to deliver zero-trust, zero-data-retention inference by running open-source or custom models inside secure hardware enclaves in the cloud, giving you the data-privacy assurances of on-premises systems with the scalability and convenience of the cloud. All user inputs and inference operations are processed in confidential-computing environments so that no one, not even Tinfoil or the cloud provider, can access or retain your data. It supports private chat, private data analysis, user-trained fine-tuning, and an OpenAI-compatible inference API, covers workloads such as AI agents, private content moderation, and proprietary code models, and provides features like public verification of enclave attestation, “provable zero data access,” and full compatibility with major open source models.
Other Popular Alternatives & Related Software
Azure Confidential Computing
Azure Confidential Computing increases data privacy and security by protecting data while it’s being processed, rather than only when stored or in transit. It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.
Learn more about Azure Confidential Computing
Google Cloud Confidential VMs
Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Gemini Enterprise Agent Platform Notebooks. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
Learn more about Google Cloud Confidential VMs
NVIDIA Confidential Computing
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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Confidential AI
Confidential AI provides private inference, private agents, confidential VMs and confidential computing infrastructure for AI labs, inference providers, routers, and organizations handling sensitive workloads. Its hosted inference service runs open-weight models in hardware-backed trusted execution environments (TEEs), including Intel TDX and AMD SEV-SNP confidential VMs with NVIDIA GPUs in confidential computing mode. Prompts, responses, and workload data are protected from infrastructure operators, and clients can verify attestation before sending sensitive input. Customers can use an OpenAI-compatible API to deploy inference endpoints and agent workloads, or license the confidential-computing stack for on-premises infrastructure, bare metal, and major clouds. Use cases include serving models while limiting operator access to prompts and model assets, and running sensitive AI workloads on dedicated confidential compute.
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Pricing
Free Trial:
Free Trial available.
Company Information
Tinfoil
Founded: 2024
United States
tinfoil.sh/
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Product Details
Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Support
Online
Tinfoil Frequently Asked Questions
Q: What kinds of users and organization types does Tinfoil work with?
Tinfoil works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Tinfoil support in their product?
Tinfoil supports these languages: English.
Q: What kind of support options does Tinfoil offer?
Tinfoil offers support via online.
Q: What other applications or services does Tinfoil integrate with?
Tinfoil integrates with: DeepSeek R1, gpt-oss-120b, gpt-oss-20b, Llama 3.3, OpenAI, Qwen3-Coder, and Slack.
Q: Does Tinfoil have an API?
Yes, Tinfoil has an API.
Q: What type of training does Tinfoil provide?
Tinfoil provides training in the form of documentation and live online.
Q: Does Tinfoil offer a free trial?
Yes, Tinfoil offers a free trial.
