Real systems, real businesses, all running on hardware they own — with data that never leaves the building.
An operator runs four businesses under one roof: two e-commerce brands, an AI consulting practice, and an IT consulting firm. Daily dashboard checks, catalog upkeep, vendor data hygiene, and customer email — hours of repetitive work scattered across half a dozen cloud subscriptions.
The setup: one dedicated local machine running an autonomous multi-agent system — no cloud platform, no per-seat subscriptions, no data leaving the building.
What runs on it: store monitoring (orders, product health, catalog issues) · catalog automation (hundreds of listings cleaned and standardized) · customer email through owned, verified infrastructure — all autonomous, always-on.
A full restaurant operations platform built and running in our lab — the system we demo on a real screen, not in slides.
Guests scan, order from their phone; drinks route to the bar, food routes to the kitchen. No app download.
Every dish tied to its ingredients. Stock decrements as orders happen; reorder points raise purchase orders automatically at your supplier's prices.
A full simulated week — staffing, stock consumption, and profit per plate — before a single real dollar is spent.
Why it matters to you: this is the same architecture a law firm or accounting office gets — private data, owned hardware, workflows that keep running without us. The industry changes; the principles don't.
You'll notice these case studies don't expose client names, vendor pricing, or internal configurations. That's on purpose — the same discretion we'd apply to your systems. The full walkthrough happens on the call, on a live screen, with the network meter running.
Bring your own workflow to that call. It might become case study 03 — or it might just quietly make your Tuesdays shorter.
Screenshots are fine. A live demo on real hardware with a network meter is better.
Book a Call →