ReadyInfra develops mid-scale data centers at the metro edge, for inference that has to sit near users rather than wherever power is cheapest. Sites selected against measured fiber and a verified power path, and operated by the team that builds them.
Capital and demand are both available. What the market cannot buy is time—and that constraint is what a development platform has to be engineered around.
Vacancy: JLL, North America Data Center Report, Midyear 2026. Interconnection wait: Lawrence Berkeley National Laboratory, Queued Up, 2026. Construction spending: US Census Bureau, Value of Construction Put in Place, revised series, August 2026.
Training can run anywhere power is cheap. Inference cannot—it answers a user in milliseconds, so the compute has to sit close to that user.
Sites selected on measured fiber routes to the carrier hotels and exchanges that actually serve the metro, not straight-line distance on a map.
Every inference query is answered in milliseconds. Distance is not a tuning parameter—it is a hard limit on what a site can serve.
Multiple nodes per metro edge let a tenant expand inside the same latency zone instead of moving to a different market.
We build mid-scale inference nodes, with 5 to 50 MW as the optimal range rather than a fixed limit. The size is set by the latency envelope and the tenant profile, not by the economics of a hyperscale training campus.
Almost every campus built to date was designed for training. A data center takes years to deliver, so building inference capacity now means building ahead of the demand it will serve.
Abandoned and underused industrial facilities already carry the service, the gas, and the utility account. Bringing one back skips the longest queue in the industry.
Industrial use is already established on the parcel, so no farmland is converted and no residential neighborhood is rezoned.
An existing utility account changes the question from “when can we get power” to “how much headroom is there, and what does more cost.”
Cleaned-up brownfields returned $29–97 million in local tax revenue across 48 sites in one year, per EPA studies. Towns treat that differently.
Queue wait: Lawrence Berkeley National Laboratory, Queued Up, 2026. Tax revenue: EPA Brownfields Program studies. Timelines vary by site and utility; allocated power remains subject to utility confirmation.
One team carries the project end to end. The group that underwrites the site is the group that operates it, which is what keeps the underwriting honest.
Powered land close to the market it serves, screened on measured fiber distance, existing utility service, substation headroom, water, zoning, and environmental condition.
Zoning, permitting, and utility or generation agreements carried in-house, alongside the community engagement that determines whether a project gets built at all.
Modular halls fabricated off site and phased in with demand. Footprint, cost, and schedule are known from the day the data room opens.
Rack-ready colocation for tenant hardware, with the density and power envelope specified before procurement rather than discovered during commissioning.
We operate what we build, with readiness gates, turnover evidence, qualified staff, and OT governance in place before the first tenant load.
One standard across sites means each project starts from the last one’s drawings, vendors, and procedures instead of from a blank page.
The parameters a parcel has to clear before it reaches underwriting.
ReadyInfra is led by operators who have run mission-critical facilities and built data centers across several generations of compute.
20+ years in mission-critical operations, design, energy & sustainability — from Tier IV facilities to hyperscale campuses as EVP of Operations at CloudHQ. Prior leadership at Fidelity, Deutsche Bank, and JLL.
27+ years building data centers, from hyperscale campuses to emerging compute architecture. Board director, global keynote speaker, and co-founder of the Nomad Futurist Foundation.
Developers, investors and lenders bring us in for two questions we answer on our own projects every day: what an asset actually costs to run after close, and whether operations will be ready when the keys change hands.
Explore advisory →Power path, fiber and latency verification, capex realism, and the day-one operating cost the model has to carry.
Readiness gates, turnover evidence, staffing ramp, speed-to-competency, and OT risk governance for developer platforms.
PJM and NERC propose large-load rules starting at 50 MW; Dominion's GS-5 starts at 25 MW. Below a cutoff those obligations don't apply — but the site still has to check out. The 12 questions we ask first.
Whether you are placing capital into edge infrastructure, bringing a powered site to the right developer, or need independent diligence on an asset under contract—start a conversation.