General / Cross-functional
Private On-Prem AI Gateway
Runs AI models entirely on internal servers — keeps prompts and data air-gapped from external providers while delivering full LLM functionality.
1 of 3 — Model management dashboard — six on-prem models with status, GPU utilization, request volume, and per-model latency; routing rules listed at the bottom
The challenge
Why it exists
Using ChatGPT, Claude Code, Gemini requires sending prompts to external providers, exposing sensitive business data and creating risks around privacy, compliance, and control.
The approach
How it works
The tool runs AI models on the organization’s servers, keeping data air-gapped from external providers and ensuring secure, private AI usage.
Key capabilities
What it does
The tool runs AI models on the organization’s servers, keeping data air-gapped from external providers and ensuring secure, private AI usage.
Typically used by
All Employees; Also comes with API access for developers
Business impact
Enables safe AI adoption, reduces data risk, supports regulatory compliance, and protects intellectual property while maintaining full control over business data.
Built with
Technology
Tools & Frameworks
Integrations
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ViewWant something like this for your team?
We'll map your workflow and scope a working prototype — typically in three weeks, not three months.
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