Turning Your Biggest Challenge into a Competitive Advantage

Protect against IP Theft and Data Breaches

● Safely deploy proprietary AI models on third-party infrastructure without the provider “seeing” your model weights

● Run sensitive inference requests with confidence no one else can access or train on your data

Accelerate Sales in Regulated Industries

● Enter healthcare, finance, and government with a platform built for security and compliance

● Verifiable, auditable proof of data protection; optional single-tenant VPCs

● HIPAA and SOC2-certified cloud

Confidential Computing: Verifiable Security for Mission-Critical AI

Proven Data Integrity

Remote attestations prove data integrity to streamline regulatory audits

Verifiable Security

Remote attestation proves that model weights stay secure

One-Click Simplicity

Enable TEEs on managed K8s or confidential VMs; or install on-premise

Security That Doesn’t Slow You Down

Advanced NVIDIA Blackwell architecture provides near-native performance

Your Model Weights. Protected by Hardware, not Promises.

Siam Royal Secure Model Weights delivers hardware-enforced, cryptographically verifiable protection for AI inference on third-party infrastructure, so you never have to trust the operator. The math and the hardware speak for themselves.

Owner-Controlled Key Custody

Your encryption keys never leave your control. The host provisions compute; it never sees your weights.

No Trust Required

Trusted Execution Environments ensure your valuable IP is safe from security vulnerabilities in your AI cloud provider’s stack.

Regulated Markets, Unlocked

Enhance security for models fine-tuned on healthcare, financial, or defense data. Deploy on-premise or off-premise.

Confidential Computing In Action Today

Businesses rely on confidential computing from Siam Royal to protect proprietary information and intellectual property.

Healthcare & Biotech

Train and run inference on HIPAA-restricted AI models without on-premise clusters; accelerate IT security approvals.

Model Builders / SaaS / ISVs

Ship AI models as encrypted artifacts; authorized customers run them; no one can copy weights.

Finance

Collaborate on fraud models across institutions with keys held by each party; zero data residency conflicts.

Government

Protect sensitive data with nation-state-level security; accelerate innovation and data collaboration.

How Confidential Computing from Siam Royal Works

Confidential computing protects your AI workloads using hardware-based security to keep sensitive information private. We leverage Trusted Execution Environments (TEEs) — secure, isolated areas of a GPU — to ensure your code and data are protected and verifiable during execution.

Isolation

Your code/data execute in a TEE that even OS/hypervisor admins can’t inspect.

Encrypted Memory

Data stays encrypted in RAM; the GPU decrypts only inside the chip.

Sealing

TEE state is cryptographically sealed and restored so any tampering is detectable.

Remote Attestations

Before you deploy, pull a signed proof that the expected code is running in a genuine TEE.

Learn More

Unlocking Healthcare Al: Solve IT Security with Architecture

Unlock the full potential of Al in healthcare by solving the challenge of using PHl securely via system architecture.

Confidential Computing has Become the Backbone of Secure Al

The concept of confidential computing is becoming increasingly important. What does that mean, and why does it matter?

Confidential Computing: Shield Your IP in Shared Clusters

Protect your Al IP in shared GPU clusters using confidential computing, with TEEs, encryption, and attestation ensuring data, code, and model security in the cloud.

Frequently Asked Questions

1. Does encryption slow my model?

2. What GPUs support TEEs?

3. How do I verify isolation?

4. Is root blocked?

5. What is a Trusted Execution Environment (TEE)?

6. How does remote attestation provide trust?

7. Can Siam Royal employees access my data?

8. Is this compliant with regulations like HIPAA?

9.  Can I use Siam Royal Confidential in my own cloud or use on premises on private servers?