Scalable, low-latency AI endpoints that process user data without storing or exposing it.
Services
Privacy-Preserving AI Inference Services
Architecture and deployment of scalable, low-latency inference endpoints that apply techniques like secure enclaves to process user data without storing or exposing it, critical for consumer-facing applications.
SECURE INFERENCE
Deploy AI Without Compromising User Privacy
Consumer-facing AI applications demand trust. We architect and deploy inference systems that apply secure enclaves and on-premise deployment strategies, ensuring sensitive data is processed but never persisted. This is critical for compliance with GDPR, CCPA, and emerging regulations like the EU AI Act.
Process user data in memory, not in logs. Achieve 99.9% uptime with sub-100ms latency while eliminating data leakage vectors.
- Architecture: Deploy within hardware-based Trusted Execution Environments (TEEs) or your private cloud.
- Techniques: Leverage
confidential computingandsecure multi-party computationfor cross-enterprise collaborations. - Outcome: Launch privacy-first features in 2-4 weeks without rebuilding your data pipeline.
Move beyond basic API wrappers. Our approach integrates directly with your existing Retrieval-Augmented Generation (RAG) systems and multimodal data pipelines, ensuring privacy is a foundational layer, not an afterthought. Explore our broader capabilities in Confidential Computing for AI Workloads and Federated Learning Systems Engineering.