Everything you need, on the Mac you own
Talk instead of type, code with the agents you already use, and pool your devices to run bigger models. All local, all private, no cloud bill.
Coding Agent
Point Claude Code, Cursor, or any coding agent at a model running on your own machine - with one click, no API keys, or cloud bills.
Video Understanding
Point it at a video and ask what's happening - it follows scenes, characters, and continuity across the whole timeline, not just one frame.
Voice Dictation
Stop typing, just talk. Speak your prompts, messages, and meetings anywhere on your Mac. Fully offline. Fully private.
Voice Mode
It doesn't just listen - it talks back, in a natural voice generated entirely on your Mac.
Meeting Recording
Join any call and it records, transcribes, and summarizes itself - action items ready the moment you hang up, all on your Mac.
Clustering
Run larger models by connecting your devices. Clustering pools their memory so you can run models too big for any single machine.
Document & Image Understanding
Drop in a photo, screenshot, or scanned page and turn it into a structured report in seconds - no internet required.
Saturn’s rings up close, soft light
Created in 10s
0%Image Generation
Describe an image, get one back - generated entirely on your Mac, no account, no credits.
When did we promise Fernway the beta?
On14November.YourkickoffnotessaythebetagoestoFernway’sopsteamfirst,andthefulllaunchfollowsinJanuary.
PDF · 1.2 MB
Fernway kickoff notes
Scope, timeline and open questions from the March kickoff.
Personal Knowledge Base
Drop in your own documents and ask questions about them in chat - no database, no script.
Skills
Teach it your real inbox, your real documents, your real routine - the stuff you'd never paste into a cloud chat.
All 214 invoices are in one sheet, sorted by client. Fernway is still open for €12,400. I made the cover for the Q3 summary too.
Tools
Let your model actually do things on your Mac - check system stats, read and write files, run terminal commands, generate images. Run it a thousand times a day, on every file you own, because there's no API meter counting each action.
Fine-Tuning
Turn your own data into a model that actually knows your use case - no ML pipeline required.
Bring the datacenter
to your desk
You already have a supercomputer. Run it locally, in the open