A high-level view of OnpremAI's architecture designed for CTOs, architects, and technical decision-makers.
Documents, Databases, APIs, Files
Local LLM Processing
Insights, Reports, Answers
Secure entry point for all requests. Handles authentication, rate limiting, and request routing.
Core AI inference engine running locally optimized language models.
High-performance semantic search for document retrieval and knowledge queries.
Pre-built integrations for enterprise data sources and applications.
Comprehensive security controls across all system components.
Web-based management interface for configuration and monitoring.
Choose the deployment model that fits your infrastructure and security requirements.
Deploy on your own physical or virtual servers within your data center.
Run in your private cloud environment with VPC isolation.
Complete network isolation for highest security environments.
OnpremAI supports multiple AI engines, giving you flexibility in model selection.
Support for leading open-source language models
Integration with commercial on-premise AI solutions
Support for custom fine-tuned models on your data
Multiple embedding options for semantic search
OnpremAI's modular architecture allows you to scale components independently based on your workload.
Add more processing nodes to handle increased load.
Scale AI, search, or storage independently.
Built-in request distribution across nodes.
AI Node 1
AI Node 2
AI Node N
Our engineering team can provide a detailed technical walkthrough tailored to your infrastructure.
Schedule Technical Review