HOW IT WORKS

How Foundry works (without the jargon)

You don't need to understand machine learning to use Foundry. Here's what happens, in plain English.

THE SIMPLE VERSION

Six steps from "you have a computer" to "it's running"

1

You have a computer.

A Mac Studio — a powerful but normal-looking desktop computer that sits in your office. It plugs into a normal power socket and connects to your network. It's quiet, it's compact, and it doesn't need a server room.

2

We install Foundry on it.

Foundry is the software that makes the computer able to do AI work. We come in (remotely or in person), configure everything, test it, and hand you a working system. You don't install anything yourself.

3

You give it work.

Documents? Drop them in a folder. Support tickets? Connect your help desk. Internal knowledge? Point it at your shared drive. Code reviews? Connect your GitHub.

4

Foundry does the work.

It reads, classifies, extracts, drafts, and organises — all on the Mac Studio in your office. No data goes anywhere.

5

You review and approve.

Every output is a draft. A document extraction shows you the data for confirmation. A support response shows you the draft for approval. A code review shows you the issues to check. You're always in control.

6

It keeps running.

Foundry monitors itself. If a model crashes, it restarts. If memory is getting tight, it warns you. If something needs attention, the dashboard tells you — you don't have to watch it.

THE STACK

What the stack looks like

Your existing tools Foundry (on your Mac Studio) Your team ─────────────────── ────────────────────────── ────────── ┌─────────────────────┐ Email ──────────────► │ Foundry │ ────► Review queue Shared drives ──────► │ │ (approve & send) GitHub ──────────────► │ • Reads documents │ Help desk ──────────► │ • Classifies │ │ • Extracts data │ Your data stays here ──► │ • Drafts responses │ ────► Dashboard │ • Flags problems │ (status & health) │ • Preserves originals│ └─────────────────────┘ │ Never leaves this box
CLOUD VS LOCAL

What stays cloud vs what goes local

Moves to Foundry (local)

  • Document reading, classification, and data extraction
  • Support ticket reading and response drafting
  • Internal knowledge search and question answering
  • Code review and issue detection
  • Any AI task that involves your data

Stays cloud (untouched)

  • Email delivery (your email provider keeps doing its job)
  • Your existing case management / CRM / accounting software
  • Cloud backups (Foundry doesn't replace your backup system)
  • Video calls and collaboration tools
  • Web browsing and external research

The principle: The AI that touches your data runs locally. Everything else stays where it is.

TIMELINE

How long setup takes

PhaseWhat happensTime
Fit ReviewWe look at your workflows, data, and costs. Honest yes or no.30-60 min call
SetupWe configure the Mac Studio and connect your systems.1-2 days
TestingWe run sample documents/tickets/queries to verify it works.Included in setup
HandoverYour team learns the review queue and dashboard.1-2 hours
LiveFoundry runs. You approve. We support.Ongoing

Most teams are live within a week of the Fit Review.

SECURITY

Security, in plain English

No data leaves your building. The AI model runs on the Mac Studio. Processing happens there. Results stay there.

No third-party API calls. Foundry doesn't phone home to OpenAI, Google, or anyone else during processing.

Original documents are preserved. If you feed Foundry a PDF, the original is kept untouched with a digital fingerprint. The extracted data is stored separately.

Everything requires human approval. Foundry prepares drafts. A person reviews and approves before anything goes out.

You own the hardware. The Mac Studio is yours. Foundry is software on your machine. You can turn it off, disconnect it, or inspect it at any time.

See the offers

See if your business is a fit for local AI.

Book a 30-minute call. We'll look at your workflows, your data, and your current costs.

Book a Foundry Fit Review

No pressure. No sales pitch. Just an honest assessment of whether this makes sense for you.