SovAI IS
A deployable infrastructure stack for private AI systems.
SovAI IS brings together local and cloud models, vector databases, APIs, monitoring, governance, and secure deployment patterns for sovereign AI architecture.
Stack
Infrastructure components for private AI
The infrastructure stack gives teams a vocabulary for planning the runtime, data, governance, and deployment layers.
Private LLM runtime
Run open-weight models locally or in controlled environments without sending data to external APIs.
Model gateway
Use a unified routing layer for cloud, local, and enterprise model providers.
RAG backend
Build retrieval pipelines for documents, knowledge bases, and structured enterprise data.
Vector database
Provide semantic search for embedding-based document retrieval and source-aware answers.
Authentication
Apply identity and access control for multi-user private AI deployments.
API layer
Expose AI capabilities through a controlled service layer for applications and internal tools.
Frontend
Give users a clear interface for chat, document upload, review, and answer inspection.
Monitoring
Track token usage, latency, cost, retrieval quality, and evaluation telemetry.
Audit logging
Record prompts, retrieval context, responses, and operational events for review.
Deployment templates
Use Docker, Kubernetes, and OpenShift manifests for repeatable production deployment.