Private AI infrastructure for your business. Like JARVIS, but real.
Your data never leaves your building
AEGIS is our on-premise LLM infrastructure built exclusively for your organization. Deploy powerful AI on your own hardware with 2-5 Nvidia GPUs running open-source models.
No cloud dependency. No data sharing. Complete sovereignty. Think of it as having JARVIS working exclusively for your business—processing documents, training employees, managing files, and automating workflows without ever touching external servers.
We handle the installation, fine-tuning, and integration with your systems. You own the hardware, you control the data, you decide what the AI learns.
What AEGIS Does
Six core capabilities running entirely on your infrastructure
Accounting Automation
Invoice processing, expense categorization, financial reporting without exposing data to third parties
Proposal Creation
Generate RFPs, quotes, and statements of work using your historical data and brand voice
Employee Training
AI-powered onboarding, policy Q&A, and training materials personalized to your company
File Management
Intelligent sorting, tagging, and retrieval across your document repositories
Internal Knowledge
Company wiki, document search, and institutional memory accessible instantly
Document Processing
Contract analysis, data extraction, and compliance checking at scale
AEGIS vs Cloud AI
See why enterprises choose on-premise over cloud-based AI
Deployment Process
From consultation to production in 2-4 weeks
Assessment
We analyze your infrastructure and spec the optimal GPU configuration
Model Selection
Choose base models and plan custom fine-tuning on your data
Installation
Deploy hardware and software on your premises with zero cloud dependency
Training
Fine-tune models on your proprietary data, teach business context
Integration
Connect to your systems with APIs, monitor performance, provide ongoing support
Enterprise Investment
AEGIS deployment includes hardware procurement, installation, model training, and ongoing support. Investment varies based on scale and requirements.