Best Confidential AI Platforms for OpenAI
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Compare the Top Confidential AI Platforms that integrate with OpenAI as of December 2025
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This a list of Confidential AI platforms that integrate with OpenAI. Use the filters on the left to add additional filters for products that have integrations with OpenAI. View the products that work with OpenAI in the table below.
What are Confidential AI Platforms for OpenAI?
Confidential AI platforms enable organizations to use, develop, train, and deploy artificial intelligence models while ensuring data privacy and security through techniques like encryption, federated learning, and secure multi-party computation. These platforms allow AI workloads to run on sensitive or proprietary data without exposing the raw data to external parties or even to the platform itself. By combining advanced cryptography and privacy-preserving algorithms, confidential AI helps businesses comply with data protection regulations and maintain trust. They are especially useful in industries such as healthcare, finance, and government where data confidentiality is critical. These platforms accelerate AI innovation while safeguarding sensitive information throughout the AI lifecycle. Compare and read user reviews of the best Confidential AI platforms for OpenAI currently available using the table below. This list is updated regularly.
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Tinfoil
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.
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