Skip to main content
η 1.000
η = Ioutput / Esystem

useful information per joule consumed

Making intelligence
energetically viable

The energy-routed computing substrate bringing SWaP-2C discipline to the era of AI.

Mission

90%

less energy by 2030

An exponential drop in the energy it takes to compute.

Computing's energy demand is climbing faster than the grid can carry it. We are driving it the other way: a 90% reduction in the energy required to perform AI, and every other computing task, by 2030. Not by doing less, but by accounting for every joule and routing each computation to where it costs the least.

The discipline

What is SWaP-2C?

A defense and aerospace engineering budget for fielding capability at the edge: optimize five constraints together, never one at the expense of the rest. We bring it to software and AI.

Size

Volume

Weight

Mass

Power

Watts

Cost

First C

Cooling

Second C

How

Surface the cost. Route around it.

Surface energy observability

You cannot reduce what you cannot see. We make energy a first-class metric across the whole stack, from the language and the database to the apps you use every day. Every workload reports what it costs, in joules.

Responsive, adaptive software

Software that adapts to the machine it runs on and the work in front of it. It routes each computation to the most efficient path: the right processor, the right precision, the right moment.

η

Building energy-aware computing, or want to put it to work? Reach out.