
An AI companion running at home
A 27-billion-parameter open model on two graphics cards. Nothing leaves the machine.
I install open models on your own hardware, connect them to your documents, and you keep control of what runs.
Search that answers and cites the source, instead of guessing.
The work that comes back every week, handed to agents that leave a record.
An open model on your own server. No data leaves the network.
What the system decides, what it relies on, and where it fails.
Pages that go after queries people actually type. Written, reviewed, measured.
Campaigns that run and correct themselves. You read the report.
Half a day with your team: what these models do, and what they don’t.
What is running today, at clients’ or at home.

A 27-billion-parameter open model on two graphics cards. Nothing leaves the machine.

No page ships without a verified search volume. On vidyalaya.fr: 690 organic clicks in 28 days.

Four campaigns, 9,823 clicks in 30 days. The account watches and corrects itself.

Vectors and keywords fused. Every answer cites its source in the corpus.

A companion, an artist manager, an operations assistant. They watch and they report back.

A model writes, a panel of models reviews, nothing ships without a measured search volume.
maisonantik.com
One story a day: the agent writes it, commits it and deploys it.
latence.org
The eligibility engine, designed and wired in. The app is in production.
mentor-app.fr
A teaching assistant plugged into the digital workspace schools already use.
vidyia.com
Filing works and reading royalty statements in the same place.
fonos.fr
Site, learning portal, and worked answers checked before they are published.
vidyalaya.fr
Clients, quotes, operations schedule, and a read-only sync from their Google Sheets.
crystalguard.fr
A small device captures sound and images and sends them back to a machine at home.
Describe what you need in a few lines. Answer within two working days.
contact@alephlabs.fr