[ Our Mission ]
AI beyond
the cloud
We build the infrastructure that runs AI on field hardware with strict size, weight, and power limits in environments the cloud was never designed to reach.
Space. Defence. Energy. Sovereign compute.
Every significant advance in computing moves from centralised systems to the point of need.
Mainframes became PCs. Data centres became mobile. Cloud is becoming edge. AI follows the same path. The infrastructure for that transition does not exist yet.
[ At Our Core ]
How we operate
We are engineers who build for operators in the field. Our principles reflect how we think about infrastructure, deployment, and trust.
Operator-first
Every design decision starts with the person running inference in the field. If it does not make their job easier, it does not ship.
Ship to the site
We forward-deploy engineers because remote diagnostics cannot replace being in the room with the hardware. We work inside customer environments because that is where the constraints live.
Platform, not project
Seventy percent of what gets built inside a customer deployment ships back into the core product. The next customer starts where the last one finished.
[ Offices ]
Deployed across
borders
We operate where our customers operate. Our engineering and deployment teams are positioned across time zones to support environments on every continent.
Get in touchSector88 is the zone where AI needs to run but conventional infrastructure cannot reach. In defence and critical infrastructure, environments are divided into sectors. Zones defined by their operational constraints. We operate in the gap between what models demand and what hardware provides.
[ Our Path ]
Building toward
inevitability
Space computing is shipping. Orbital GPU modules are being commissioned. Defence budgets are shifting from cloud contracts to on-premise AI. Edge inference hardware is deploying faster than the software stack can keep up. The infrastructure layer to run AI on that hardware is what we build.
We'd like to hear
what you're building.
Whether you are scoping a deployment or already hitting the limits of your current stack, we want to hear about it.