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AI & DATA CENTER INFRASTRUCTURE

Connectivity for AI infrastructure, where fiber is scarce.

Power is easy to find. Connectivity often isn't. We find and build diverse, redundant fiber paths into sites so compute isn't stranded waiting on a network.

Illustration of five data center server racks connected to a shared fiber line.

The gap we close

POWER

AVAILABLE

CONNECTIVITY

THE CONSTRAINT

Built around hyperscale
requirements

Designed to data center class standards, not generic telecom specs.

Latency-aware routes

Route design that meets hyperscale latency and diversity needs.

Redundant entry points

No single conduit or provider becomes a point of failure.

Feasibility first

Site selection de-risked before capital is committed.

Owned dark fiber

No dependence on a third party's lit service roadmap

OUR NETWORK

The hyperscale long haul network

Long haul dark fiber between AI campuses, designed for the bandwidth they actually need.

CALGARY

EDMONTON

Carrier neutral

Capacity on the same terms for everyone on the corridor.

Purpose built for AI

Designed around real inter-campus bandwidth.

Existing right of way

Faster to deploy than a greenfield build.

Aerial view of a large data center campus under construction.

CASE STUDY

Project Borealis

Fiber proven before a megawatt was committed.

For a data center developer in Alberta's Industrial Heartland, power was available long before connectivity. We proved the fiber path first, then carried the project into design and construction.

Have a site with power but no path?

Tell us where it is. We'll tell you what it takes to connect it.

WHITE PAPER

Fiber before watts

How to size dark fiber capacity to the power and compute density of AI data centers, and why the fiber plan belongs in the same conversation as power and cooling.

Turning a power roadmap into a fiber strand count

Why physical route diversity beats redundancy on paper

Banking capacity on day one instead of digging twice

White paper document graphic: Fiber Before Watts
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