Private AI Data
Confidential compute turns siloed and regulated datasets into insight, safely. Combine data sources via compute-to-data and verifiable enclaves.
Data sharing is blocked by privacy, IP, and regulation. Centralized AI leaks control. Phala keeps raw data sealed while models 'go to the data'—enabling multi-party analysis without exposing sensitive information to any single entity.
Traditional cloud infrastructure exposes sensitive information to operators and administrators.
More InformationHardware-enforced isolation prevents unauthorized access while maintaining computational efficiency.
More InformationEnd-to-end encryption protects data in transit, at rest, and critically during computation.
More InformationCryptographic verification ensures code integrity and proves execution in genuine TEE hardware.
More InformationTEE Hardware Encryption
Zero-Trust Computing
TEEs with Intel TDX and AMD SEV provide CPU-level memory encryption—your AI models, datasets, and computations stay encrypted in-use. Not even cloud admins or hypervisors can inspect runtime state. Remote attestation proves the enclave is genuine before you send data.
Built on zero-trust principles, our confidential computing infrastructure ensures data remains encrypted throughout the entire computation lifecycle. Hardware root-of-trust, sealed storage, and cryptographic proofs provide verifiable protection against insider threats and infrastructure compromise.
Deploy confidential data workloads in three simple steps
Set up confidential data processing environment
Compute on encrypted data inside TEE
Cryptographically verify TEE execution
USE CASE
Train proprietary LLMs on confidential datasets without exposing raw data to cloud providers.
USE CASE
Deploy inference APIs for healthcare, finance, or legal AI where model weights and user prompts must remain encrypted end-to-end.
USE CASE
Run federated analytics on multi-party datasets—each party keeps data local while TEEs combine insights securely.
USE CASE
Enable secure multi-party computation for joint data analysis without revealing individual contributions.
USE CASE
Process regulated data (GDPR, HIPAA) in the cloud while maintaining compliance and zero-trust security.
FEATURES
Instant Implementation
One-Time Payment
Developer Friendly
Fully Responsive
Production Ready
Premium Support
Regular Updates
Customizable Design
Performance Optimized
Accessibility Compliant
Cross-Browser
Documentation Included
A well-designed system (like Vana) uses both crypto consensus where you don't trust hardware, and TEEs for privacy-specific applications
Anna Kazlauskas
Founder of Vana
Phala made it possible for us to build an AI retrieval engine that never exposes what it sees. Our users trust Xtrace because their private data stays encrypted, even while the model is thinking.
Felix Meng
Founder of Xtrace
I'm totally TEE pilled. From OpenAI to Apple, both top-down and bottom-up, the focus has shifted to making TEE tech actually usable and easy to integrate
Conan
Founder of Rena Labs
Deploy confidential data workloads with familiar tools and infrastructure.
View Docs# Verify attestation quote
curl -X POST "https://cloud-api.phala.network/api/v1/attestations/verify" \
-H "Content-Type: multipart/form-data" \
-F "[email protected]"
# Response - verified TEE attestation
{
"success": true,
"quote": {
"verified": true,
"header": { "tee_type": "TEE_TDX" },
"report_data": "0x9aa049fb...",
"mr_enclave": "a1b2c3d4..."
},
"checksum": "9aa049fb9049d4f582ca316206f7cf34ee185c2b..."
}
# Share verification proof
https://proof.t16z.com/reports/9aa049fb9049d4f582...
Meeting the highest compliance requirements for your business
Everything you need to know about Charter
Deploy confidential data workloads on Phala's trusted execution environment. Start with our free tier or talk to our team about enterprise deployments.
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