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aleph labs

Your AI solutions,your hardware,your sovereignty.

A team of AI researchers, DevOps and engineers. From the network to a model retrained on your data, we build the whole system — and it runs on your side.

What we do

We take the whole chain: the network, the machines, the models, the application.

  • Infrastructure and network

    Servers, graphics cards, network, deployment: the layer everything else stands on.

  • Models installed on your side

    An open model on your own server. No data leaves the network.

  • Models retrained on your data

    When a general model is not enough, we specialise it on your domain and your examples.

  • Search inside your documents

    Search that answers and cites the source, instead of guessing.

  • Agents and automation

    The work that comes back every week, handed to agents that leave a record.

  • Audit and explainability

    What the system decides, what it relies on, and where it fails.

  • Search visibility

    Pages that go after queries people actually type. Written, reviewed, measured.

  • Google Ads

    Campaigns that run and correct themselves. You read the report.

  • Training

    Half a day with your team: what these models do, and what they don’t.

Your problem fits none of these boxes? Describe it. Given the means, we build it.

Selected work

What is running today, at our clients’ and at ours.

Terminal: two RTX 3090s loaded, the model service active

An AI companion running at home

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

Chart: organic clicks per week over twelve weeks

Search visibility, measured

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

Chart: clicks per campaign over thirty days

Google Ads on autopilot

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

Terminal: 770,718 passages indexed, none awaiting embedding

Hybrid search over 770,000 passages

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

Terminal: three messaging gateways up for weeks

Three agents on a messaging app

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

The ANTIK online shop

ANTIK’s editorial pipeline

A model writes, a panel of models reviews, nothing ships without a measured search volume.

maisonantik.com
A story published on latence.org

latence.org — a site that writes itself

One story a day: the agent writes it, commits it and deploys it.

latence.org
Home page of the MENTOR app

MENTOR — working out which benefits you qualify for

The eligibility engine, designed and wired in. The app is in production.

mentor-app.fr
Sign-in screen of the Vidyia tutor

Vidyia — a tutor for school students

A teaching assistant plugged into the digital workspace schools already use.

vidyia.com
Fonos: a work declaration form and the sign-in screen

Fonos — music royalties in one interface

Filing works and reading royalty statements in the same place.

fonos.fr
Home page of the Vidyalaya association

Vidyalaya — a charity’s resources

Site, learning portal, and worked answers checked before they are published.

vidyalaya.fr
The CRM sign-in screen, dressed as a vintage television set

The CRM of a video equipment rental company

Clients, quotes, operations schedule, and a read-only sync from their Google Sheets.

crystalguard.fr
Terminal: the ingest endpoint answering

A wearable memory

A small device captures sound and images and sends them back to a machine at home.

Let’s talk.

Describe what you need in a few lines. Answer within two working days.

contact@alephlabs.fr

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