Most buildings use only part of the electrical capacity wired to them. We build the tools to find that room, prove it is safe, and put it to work without getting in the way of the building or the grid.
Putting idle grid capacity to safe, flexible use.
LoadShare places AI computers in a building’s unused electrical room, watches the transformer, and switches the computing off whenever the building or the grid needs the power back. The building owner earns a monthly hosting payment.
Results on the site are simulated, on public NREL data and your own bills if you add them. Every site still needs a site study and utility review.
Find out whether your building has unused electrical capacity, and what hosting computing on it could earn. The AI operator pays for its own metered power.
Many sit nearly empty for long stretches, on electrical service sized for their busiest day. Screen a site for free before anyone commits to anything.
Computing that lowers or switches off on request, and stays within the transformer’s rating. Nothing is installed until the utility has reviewed the site.
Homes as grid-aware AI infrastructure · Where distributed AI fits the grid