Everything your staff need, inside your network.
A Rogue Networks platform isn’t just a model on a server. It’s the complete system: the assistant your staff use every day, search across your own documents, connections into your software, and the controls your IT and compliance people need — all running in your own cloud account or on hardware you own.
A private AI assistant
A familiar chat workspace for drafting, summarizing, analysis and code. Conversations stay on your system, with retention rules you set. Teams can share prompts and assistants built for their work.
Search across your documents
Point the system at file shares, document management or SharePoint. It answers from your own material and cites the source — and people only get answers from documents they already have permission to see.
Connected to your systems
Connectors let the AI look things up and take approved actions in your software — accounting, ERP, ticketing, CRM, databases. Built on the open Model Context Protocol, scoped to exactly the access you grant, and logged.
An endpoint for your developers
An OpenAI-compatible API on your network, so your own applications and scripts can use the same private models without code rewrites or outside keys.
The models
Open-weight models have closed most of the gap with the big hosted services. Openly licensed families from Alibaba (Qwen), OpenAI (gpt-oss), Google (Gemma), Mistral and DeepSeek run on GPUs a business can rent or own.
Which models go on your system is decided during design, not before. We test candidates against your real tasks — your contracts, your reports, your tickets — and pick for quality, speed and license terms.
Most systems run more than one: a large model for difficult work, a fast one for everyday questions, and models for search and document reading behind the scenes.
When better models are released, they’re tested and added as part of support. You’re never stuck on last year’s model, and never locked into one company’s.
Run by your IT team, not around it
The controls are there from day one, not bolted on later.
Built on proven open software
The serving layer uses established open-source inference engines such as vLLM, the same software many cloud AI providers run in production. The rest of the stack is open, documented software too.
That matters for two reasons: there’s no black box on your network, and you’re not dependent on any single vendor — including me.
More questions
- Where does it run?
- Either dedicated GPUs in your own cloud account, or hardware you own. See hosted or on-prem.
- Can we bring our own model?
- Yes. Any openly licensed model that fits the hardware can be added, including models fine-tuned on your own data.
What would your staff ask it?
Tell me the work you’d want it to do. I’ll show you which models handle it well and what the system would look like.