Eagna Tech’s Private AI platform is built from the ground up for data sovereignty, reliability, and modularity.
Every component — from model serving to observability — is engineered to deliver enterprise-grade performance while keeping your data within your digital boundaries.
Our architecture combines modern AI orchestration with proven cloud-native practices, creating a foundation that’s both flexible for innovation and rigid for security.
Chat-style UI, API gateway, or embedded copilots where users interact with AI securely.
Handles authentication, rate-limiting, and routing to internal model endpoints.
Hosts LLMs (e.g., Llama, Mistral, Falcon, Jais) optimized for performance and scale with quantization and sharding.
Connects internal documents, databases, and knowledge sources with retrieval-augmented generation (RAG) pipelines — answers are grounded and cited.
Enforces content safety, PII masking, policy rules, and full audit logging — ensuring AI stays compliant and trustworthy.
Tracks latency, cost, and usage metrics with real-time dashboards and tracing.
Supports air-gapped or limited-connectivity sites through delta synchronization and edge-optimized models.
