CargoSense has acquired wireless technology developer Adapt-IP, combining real-time, three-dimensional asset tracking with an AI-driven supply chain platform increasingly focused on the demands of large-scale data center construction.
The Reston, Virginia-based company announced the acquisition Sept. 10. Financial terms were not included in the announcement.
The deal brings Adapt-IP’s wireless connectivity and location technology in-house for CargoSense, which provides exception management and supply chain services for mission-critical projects. The combination is aimed particularly at data center construction and fit-out, where transformers, generators, cooling equipment, electrical systems, racks and increasingly expensive AI hardware must often move through multiple warehouses, staging facilities and construction areas before installation.
That logistics chain is becoming more consequential as AI campuses grow from individual buildings into multi-building, gigawatt-scale developments.
Adapt-IP’s flagship Spatial IQ, or SIQ, system combines short-, medium- and long-range communications in a single tracker. According to the companies, the technology can provide three-dimensional location accuracy to within one meter while covering as much as 20 million square feet from a single access point. It can also track environmental conditions and generate real-time exception alerts.
That capability potentially gives CargoSense something beyond conventional shipment visibility. Rather than simply confirming that a component has reached a warehouse or construction site, operators can determine where equipment actually resides within a large logistics environment and feed that physical-world data into CargoSense's automated exception-management system.
“Our customers face increasing complexity in managing their supply chains at hyperscale,” said Rich Kilmer, CEO of CargoSense, describing the acquisition as a strategic investment.
CargoSense uses what it calls deterministic AI agents to identify and resolve supply chain exceptions automatically, backed by a 24/7 Human Agent Response Team for situations requiring human decisions. Its control-tower platform combines shipment, device, sensor, exception and location information to identify deviations and initiate corrective action.
Following the Data Center Supply Chain
The acquisition also continues CargoSense's push into the data center sector.
In April, semiconductor company MegaChips made a strategic investment in CargoSense and entered a partnership focused in part on automating data center construction supply chains. The companies said the initiative would combine MegaChips' semiconductor expertise with CargoSense's automated exception-management technology.
The timing reflects the sheer scale of the infrastructure pipeline.
JLL's 2026 Global Data Center Outlook projects that nearly 100 GW of additional data center capacity could be developed between 2026 and 2030, effectively doubling global capacity. JLL estimates that construction and IT fit-out associated with that growth could require up to $3 trillion in investment by 2030.
As projects reach that scale, schedule risk increasingly extends beyond power procurement, permitting and construction labor into the physical movement of equipment.
A late electrical component, misplaced cooling system or delayed rack shipment can leave installation crews waiting and create cascading effects across commissioning schedules. CargoSense’s bet is that pairing automated decision-making with increasingly granular physical-world data can identify—and potentially resolve—those problems before they become project delays.
Adapt-IP CEO Michael McNamara, whose engineering team will now help direct CargoSense's hardware strategy, summarized the rationale simply: “This merger accelerates our roadmap.”
For the data center market, the acquisition is another indication that supply chain visibility is moving beyond tracking shipments between destinations toward real-time orchestration of the equipment flowing through increasingly complex AI infrastructure projects.
See the full announcement here.
