SOCKETRUN

AI edge infrastructure

‍ ‍

THE AI ECONOMY IS CHOKING ON RESOURCE CONSTRAINTS. WE UNLOCK THE BOTTLENECK.

SocketRun deploys autonomous, vertical utility automation appliances designed natively for space-constrained, water-cooled data centers and advanced manufacturing plants.

0.00% Upfront CapEx (Pure OpEx Maintenance Seice)
2.5' x 3.5' Floor Footprint (Standard IT Server Rack Dimensions)
90.0% Closed-Loop Wastewater Recovery At The Source
0 Days Waited for Outdoor City Zoning Permits

The Problem — The Legacy Utility Trap

Legacy water-cooled data center plants and semiconductor fabs are trapped in an expensive, open-loop double-billing cycle. To protect your central chillers and heat exchangers from mineral scaling, you are forced to run heavy, continuous blowdown wastewater purges.

Between buying fresh city intake water and paying aggressive industrial sewage discharge surcharges on the backend, a standard 15MW facility bleeds over $40,000 to $123,000 every single month in variable utility friction.

Traditional containerized filtration retrofits require millions in upfront capital, heavy concrete yard space, and 6 to 12 months of city hall environmental reviews. You don't have the space, and you don't have the time.

Our Solution

We use a proprietary Physical AI computing layer to convert standard industrial utility loops into autonomous, self-healing closed-loop networks in a 5 foot vertical appliance that rolls into any data center’s indoor mechanical room. By deploying modular edge-appliances right at the source, we help enterprise data centers, advanced manufacturing plants, and semiconductor fabs eliminate resource waste, bypass municipal permitting bottlenecks, and dramatically slash ongoing utility liabilities.


WHO IS IT FOR?

SocketRun is engineered exclusively for high-stakes facility engineers, critical operations directors, and corporate sustainability executives who manage heavy, energy-dense thermal loops and are trapped by rising municipal constraints.

Our systems serve three distinct, high-impact enterprise sectors:

1. Water-Cooled Data Center Operators

  • The Target Profile: Chief Engineers, Critical Facilities Managers (CFMs), and Infrastructure Directors running massive, legacy open-loop evaporative cooling towers (such as the multi-phase footprints owned by CoreSite, Digital Realty, and Equinix).

  • The Specific Pain Point: You are burning through millions of gallons of water to keep high-density AI and compute racks from melting, resulting in massive scaling and aggressive city sewage dump penalties.

  • Our Fit: We provide a zero-CapEx, indoor vertical optimization patch that hooks directly into your mechanical room to recycle 90% of your blowdown wastewater on-site, cutting your city utility friction without threatening primary uptime.

2. Semiconductor Fabrication Plants (Fabs)

  • The Target Profile: Chemical Process Engineers, EHS (Environmental Health & Safety) Directors, and Plant Managers at microprocessing and silicon wafer manufacturing facilities.

  • The Specific Pain Point: Your ultra-pure water (UPW) rinsing loops generate heavily contaminated, chemical-dense wastewater streams. Local regulators are slashing your intake permits, and city utilities are hitting you with massive high-strength effluent discharge fees.

  • Our Fit: SocketEdge units slide directly onto your factory floor to intercept, pre-treat, and reclaim process streams right at the source, allowing you to hit production quotas under strict regional groundwater caps.

3. Advanced Manufacturing & Heavy Industrial Plants

  • The Target Profile: Operations VPs and Facilities Managers at high-output industrial centers, food and beverage processing plants, and automotive assembly grids.

  • The Specific Pain Point: Your central chilled water lines and cooling loops suffer from accelerated mineral fouling, driving up your equipment maintenance labor costs and forcing expensive, unscheduled production shutdowns.

  • Our Fit: Our autonomous, software-driven vertical towers eliminate scaling chemically-free and manage their own filter health via edge machine learning models, freeing your on-site engineering staff from routine utility maintenance.