Capability arriving ready.
High-performance hardware alone does not solve the problem. Keyloh’s operating environments are conceived for local AI from the first line — capability arriving ready rather than assembled, coordinated rather than configured — closing the distance between what hardware can do and what an organisation actually gets from it.
Two layers, one purpose
- Keyloh AI OS
- A custom Ubuntu-derived operating system built to provision, optimise, and coordinate AI and agentic workloads — the machine arrives knowing what it is for.
- Telos Autotelic Runtime
- Keyloh’s coordination layer for models, agents, and automation, with a web management console — one place to see and steer everything the system serves.
- Model library
- Leading open-weight models pre-downloaded and tuned to your configuration — chosen at reservation, ready on arrival. Choose yours →
What that means in practice
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Serving from first boot
Appliances ship pre-configured — OS, drivers, inference engine, models, and the Telos runtime — serving within minutes of power-on. No assembly project, no specialist team.
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Coordinated, not configured
Models, agents, and automation are managed from one console — across a single unit or a ten-unit cluster provisioned as one pool. The system carries the operational burden, not your staff.
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Nothing leaves
The whole environment operates within your boundary. The ecosystem your teams already use — open-weight models and the tooling around them — runs locally, under your control.
Capability without ceremony.
Concept imagery — the Descent programme
See it in its element.
Every Telos ships on Keyloh AI OS with your chosen model library installed and serving from first boot.