AI for data that can't leave.
Ouroboros builds enterprise AI that is private by design. Ouroboros OS is an AI appliance that runs on the customer's own hardware, inside their building, and is built to run fully air-gapped. Sayqal is our model line: open models we tune for each job.
Who we build for.
Sensitive industries first, then government: organisations whose data can't leave the building, in any country. Banks, hospitals, energy and critical infrastructure, and ministries and their suppliers.
These organisations hold the documents that would make an AI assistant most useful, and they are the least able to send those documents to a cloud model. Ouroboros OS gives them an assistant that states company facts only from documents each employee may read, signs every answer, and asks before anything leaves the building.
We built it for Arabic and English, on our own model line, Sayqal. Arabic is the hard case: written right to left, rich in word forms, spoken in many dialects, and only about 0.67% of the pages Common Crawl collects. If Sayqal can do Arabic, it can do the next language: the method is the same each time, with new data, a test set and a short tune on an open model. A third language is our goal, not yet a result.
Where we are.
A working MVP
Ouroboros OS runs end to end on a development box: chat, Assist, governed learning, admin and branding.
A fictional demo company
457 documents and six employee personas, built to show permissions, citations and approvals working.
Looking for first pilots
No customers or pilots yet. We're looking for our first pilot partners.
Why now.
Open-weight models are close behind the closed frontier, hardware that runs them fits on a desk, and sovereign AI has become a buying category of its own.
of AI's value rests on sovereign or “sovereign-enough” solutions.
McKinsey, Mar 2026
NVIDIA's sovereign AI business in fiscal 2026, more than three times the year before.
NVIDIA Q4 FY26 earnings call
of unified memory in an NVIDIA DGX Spark, rated for models up to 200B parameters, on a desk.
NVIDIA product page
forecast spending on AI agents and assistants in 2027, up from $29.2B in 2026.
Gartner, 16 Sep 2026
Talk to us.
Book a demo, ask about a pilot, or bring your security team's questions.
hello@deployouroboros.com
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