REX42 builds small, private language models that do specific jobs for your company — on your server, in your private cloud, or on the device itself. No data leaves your premises. No per-user fees. No dependency on ChatGPT, Claude or Gemini.
Your documents, customer records and internal data belong inside your business.
REX42 brings the AI to them.
A worker trained for your job. You pass data in through an API and it replies in JSON — no conversation to manage, no prompt engineering in your application code.
{
"supplier": "Gulf Marine Services LLC",
"total": 18450.00,
"vat": 878.57,
"confidence": 0.94,
"unreadable": []
}
Fifteen tasks are live today, each one trained for a specific job rather than prompted out of a general model. Every task returns structured JSON, and every one runs on your own hardware.
Specialist models, each trained for one purpose. Together, they cover your workflow on your own hardware.
How it worksREX42 is not a lab experiment. It is already the private-inference layer inside Royex's Agentic Business Suite, reading the documents our own clients would never send to a hosted model — while public models keep handling the work where privacy is not the constraint.
The router decides per task, not per product. Anything carrying identity documents, contracts, salaries or customer records stays on the local model; general drafting and open-ended questions go out to a large model. One workflow, two engines, and a clear line between them.
Tell us the task. We will tell you how small the model can be — and where it can run.
The questions security, IT and finance teams ask us first. Anything else, our engineers will answer directly.
No. The model runs on hardware you control — your server, your private cloud tenancy, or the device itself. Nothing is sent to an external API.
No. REX42 is a 366M-parameter model tuned for CPU inference on ordinary Windows or Linux servers.
A perpetual licence for your own deployment. No per-user or per-token fees.