Data Usable but Invisible
Sensitive data remains protected during use, enabling cross-domain collaboration and compliant computation.
Trusted AI Compute & Confidential Computing
Trusted AI Compute and Confidential Computing Infrastructure
Built for public sector organizations, cloud providers, and high-security industries, Nautilus enables data usable but invisible, trusted code execution, and protected model assets for next-generation AI infrastructure.
TEE runtime protected
KMS key release gated
AI model sealed
NAUTILUS TRUST FABRIC
Attestation
Verified
Runtime
Sealed
Key Policy
Bound
[verify] quote accepted
[policy] release key to measured workload
[runtime] encrypted vectors processed
[audit] execution receipt generatedSecure Model Execution
Model weights, inference logic, and runtime processes run inside trusted environments to protect core digital assets.
Trusted AI Compute Foundation
Hardware roots of trust, confidential runtimes, and cloud-native orchestration become one enterprise infrastructure layer.
Trust Layer for AI
Bring High-Value Data Into the AI Value Loop Without Losing Control
Deep AI adoption depends on more high-quality data, yet financial transactions, medical imaging, public-sector datasets, proprietary enterprise knowledge, and model assets are constrained by privacy, security, and compliance boundaries.
Nautilus uses confidential computing as its core technical path to create verifiable secure execution environments on infrastructure that does not need to be fully trusted, giving data, code, and models hardware-backed protection at runtime.
TEE
Hardware-isolated execution
KMS
Trusted key release
AI
Model asset protection
Capability Matrix
A Full Capability Matrix From Trusted Execution to AI Services
Confidential Containers
Lightweight, strongly isolated runtime environments for cloud-native applications and Kubernetes workloads.
Confidential Virtual Machines
Protect full guest systems, legacy applications, and complex business stacks with minimal migration effort.
Remote Attestation Service
Verify TEE integrity and workload state before key release and execution, establishing trust across organizations.
Trusted Key Service
Bind key generation, storage, use, and destruction to trusted environments so root keys are never exposed externally.
End-to-End Encryption
Protect data input, transmission, storage, computation, and result output to minimize plaintext exposure.
Domestic and Mainstream Hardware Support
Adapt to domestic innovation ecosystems and mainstream hardware security capabilities for flexible critical-industry deployment.
Encrypted Vector Service
Privacy-preserving vector comparison and retrieval for AI inference, supporting risk control, recommendations, and identity matching.
Model Management Service
Enable encrypted model upload, secure storage, trusted deployment, version control, and authorized access.
Solutions
Deliver Trusted AI Infrastructure as Platform Software and Integrated Appliances
Nautilus turns confidential computing capabilities into deployable, operable, and scalable infrastructure products for cloud platforms, secure compute pools, and private AI deployments.
Software Platform
Nautilus Confidential Computing Platform
A pure software confidential computing cloud platform for enterprises and cloud providers, unifying heterogeneous hardware security capabilities and providing confidential containers, confidential virtual machines, remote attestation, trusted keys, and encrypted AI services.
- Built for trusted cloud and trusted compute services
- Compatible with existing cloud-native and virtualization infrastructure
- Supports compliance goals such as data staying in-domain and plaintext never landing on disk
Integrated Appliance
Nautilus Trusted Compute Appliance
An out-of-the-box private trusted AI compute pool that integrates high-performance AI compute, the confidential computing platform, and a unified management portal for high-security, high-compliance, fast-delivery scenarios.
- Integrated delivery of compute and trust capabilities
- Supports training, inference, RAG, and agentic AI workflows
- Designed for public sector, finance, healthcare, and advanced manufacturing environments
Industry Scenarios
Unlock Data Collaboration in High-Value, High-Barrier Industries
Financial Risk Control and AML
Multiple parties can collaborate on modeling inside trusted environments while raw transaction and customer data remain in each party's control domain.
Public-Sector Data Integration
Cross-department datasets can support statistics and decision intelligence in encrypted environments while preserving privacy boundaries.
Medical Imaging and Private AI
Patient imaging and clinical data can participate in AI-assisted diagnosis inside protected environments, reducing sensitive-data exposure.
Trusted AI Services for Cloud Providers
Add trusted execution and verifiable security to cloud-based model inference, industry agents, and data analytics services.
Trust Chain
The Trust Chain Extends From Hardware Root of Trust to AI Workload Governance
Remote attestation and trusted key release ensure that only verified environments and measured code can access protected data, making every AI computation verifiable, governable, and auditable.
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01
Hardware Root of Trust
CPU and security chips provide the trusted measurement foundation.
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02
TEE Execution Environment
Data, code, and models run in isolated execution environments.
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03
Remote Attestation
Verify environment integrity and workload state before trust is granted.
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04
Key Release
Release usage rights only to measured trusted environments.
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05
Confidential Workload Runtime
Training, inference, and retrieval execute under protection.
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06
Audit and Governance
Support compliance audits and continuous operations.
Contact
Build Trusted AI Infrastructure
If you are planning trusted cloud services, confidential inference, secure data collaboration, or private AI compute, Nautilus can help design the platform architecture, deployment model, and industry-specific solution.
nautilusinc@163.com