Real-World Confidential Computing
See how organizations are using SecretAI's TEE infrastructure to build privacy-preserving solutions across healthcare, AI, and Web3.
Confidential AI for
Medical Imaging
A Joint Fetch.ai & SCRT Labs Initiative
Privacy-Preserving AI Pipeline for Mammography Analysis
SCRT Labs and Fetch.ai partnered to deliver a privacy-preserving AI solution for medical imaging analysis, focusing on mammography. The pipeline ingests medical images, analyzes them confidentially, and returns structured diagnostic reports — without raw data ever leaving trusted hardware.
Explore Our Customer Stories
Confidential AI for Medical Imaging
Fetch.ai & SCRT LabsA privacy-preserving AI pipeline for mammography analysis that improves cancer detection rates by 13.8% while ensuring patient data never leaves trusted hardware. Combines Confidential AI Models, SecretVM frontend, and Fetch.ai's Agentverse for decentralized agent communication.
Private Image-Based Cryptographic Keys
Unforgettable.app (Rarimo)Unforgettable.app generates secure cryptographic keys from biometrics, photos, and arbitrary images. By deploying on SecretVM, heavy ML workloads for face recognition run inside TEE-protected environments, achieving Face ID-comparable speed while keeping personal data protected.
"Accelerating heavy, sensitive ML workloads with SecretVM is a nice tradeoff, which achieves Face ID-comparable speed while keeping personal data protected."
Confidential AI for Web3 Development
SecretVM & Solidity-LLMSecretVM and Solidity-LLM combine to deliver confidential AI capabilities for Web3 smart contract development. Developers can leverage AI-assisted coding for Solidity while keeping proprietary code and data protected inside TEE environments, enabling secure AI-powered blockchain development.
"Private by design: bringing confidential computing infrastructure together with generative AI development tools for Web3."
Privacy-Preserving Infrastructure for DeSci
Unbound ScienceUnbound Science partners with Secret Network to build privacy-preserving infrastructure for decentralized science. Researchers can collaborate on blockchain-based platforms while maintaining confidentiality of proprietary methodologies and preliminary findings before publication.
"Enabling scientific collaboration to benefit from decentralized systems while respecting the critical need for privacy during research phases."
Privacy for Autonomous AI Agents
Eliza LabsElizaOS integrates with Secret Network to bring privacy to autonomous AI agents. The partnership enables AI agents to operate in private economies, handle encrypted transactions, and act as confidential DeFi strategists—all while keeping sensitive data protected through confidential computing.
"ElizaOS was designed to give AI agents personality, autonomy, and intelligence—but in the blockchain world, intelligence without privacy can be a liability."
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