Atoma AI: Confidential Computing for Enterprise AI
Atoma AI delivers enterprise-grade confidential computing infrastructure specifically designed for secure, large-scale AI deployments. Our platform combines Trusted Execution Environments (TEEs), advanced cryptography, and distributed ledger technologies to provide verifiable data privacy and model weight protection that meets the stringent security requirements of enterprises, developers, and AI service providers.Core Security Guarantees
Data Privacy: End-to-end encryption with execution-time protection ensures your sensitive data remains confidential throughout the entire AI processing pipeline. Model Weight Protection: Proprietary AI models are isolated within hardware-secured enclaves, preventing unauthorized access or extraction of intellectual property. Verifiable Execution: Cryptographic attestation provides auditable proof that your AI workloads execute within genuine secure environments without tampering. Compliance Ready: Our infrastructure supports regulatory compliance frameworks including GDPR, HIPAA, and SOX through comprehensive audit trails and attestation reports.Platform Architecture
Secure AI Deployment Infrastructure
Our enterprise deployment platform provides:- Hardware-Level Security: Intel TDX, AMD SEV-SNP, and NVIDIA Confidential Computing technologies ensure isolation at the chip level.
- Kubernetes Integration: Native integration with enterprise Kubernetes clusters through simple CLI commands and automated provisioning.
- Cryptographic Attestation: Hardware-rooted attestation validates the integrity of both software and hardware stacks, including co-location verification.
- Multi-Cloud Compatibility: Seamless integration with AWS, Azure, GCP, and hybrid cloud environments.
- Developer-Friendly SDKs: Drop-in replacements for popular AI frameworks (OpenAI, HuggingFace, LangChain) with confidential computing enabled.
- Enhanced Trust: Distributed ledger technology provides transparent and auditable attestation verification and encryption key management.
- Large Language Model (LLM) inference and fine-tuning.
- Multi-modal AI (text, image, video, audio).
- Retrieval-Augmented Generation (RAG) pipelines.
- Custom AI model deployment and optimization.
On-Demand Confidential AI Services
For immediate access to confidential AI capabilities:- Confidential API Access: OpenAI-compatible APIs with cryptographic guarantees for system and user prompts privacy and response confidentiality.
- Managed Infrastructure: Access to Atoma’s TEE-enabled compute clusters without infrastructure management overhead.
- Competitive Pricing: Cost-effective confidential computing with transparent, usage-based pricing models.
Enterprise Use Cases
Financial Services: Deploy fraud detection and risk assessment models while maintaining customer data privacy and regulatory compliance. Healthcare: Process sensitive patient data for diagnostic AI while ensuring HIPAA compliance and protecting proprietary medical algorithms. Legal & Consulting: Analyze confidential documents and client data using AI without exposing sensitive information to third parties. AI Model Providers: Protect valuable model weights and training data while offering AI services to enterprise clients with privacy guarantees.Getting Started
Choose your deployment approach based on your requirements:Managed Confidential AI APIs
Access state-of-the-art AI models through privacy-preserving APIs with zero infrastructure management
Self-Managed Secure Infrastructure
Deploy and manage your own confidential AI infrastructure with full control and customization
Technical Resources
Architecture Deep Dive
Understand Atoma’s confidential computing architecture and security model
API Documentation
Complete API reference and SDK documentation for developers