New hybrid platform delivers a small-footprint, energy-efficient option for residential, rural, and small-business deployments
VERO BEACH, Fla., July 15, 2026 (GLOBE NEWSWIRE) -- Mitesco, Inc. (OTCQB: MITI) ("Mitesco" or the "Company") today announced the continued expansion of its small-format data center strategy through the development of a new edge computing services platform. The initiative features a distributed network of edge computing nodes specifically designed for deployment in residential, rural, and small-business environments. Branded as "TC/DC," the platform leverages a compact, low-power, hybrid architecture intended to enable scalable and cost-efficient edge infrastructure in underserved markets. Prototype testing is expected to commence in the latter part of the third quarter of fiscal 2026, with initial field deployments targeted for the first quarter of fiscal 2027.
Brian Valania, CEO, explained the effort in this way: "We recognize the resistance in many communities to large-format data centers whose massive power needs may undermine the overall interests of the local population. We think a better alternative is a nationwide network of very small-format, low-power systems as nodes in a highly connected network configuration, generally following the approach known as 'edge computing.' We have been working on a design called the "TC/DC" for some time and think that system pricing and availability have settled at a level to make it viable in volume."
When asked about timing, Valania said, "We expect to have our first demonstration units operating by late Q3 of fiscal 2026, with initial commercial deliveries targeted for Q1 of fiscal 2027. Subject to component availability and market adoption, we believe the TC/DC platform has the potential to scale to approximately 10,000 deployed units within 18 to 24 months.
The TC/DC architecture is differentiated by its compact footprint and low-power hybrid design, enabling deployment in locations that are typically inaccessible to traditional data center infrastructure. This includes residential properties, rural and remote sites, and small-business environments."
Valania continued, "Our model transforms these locations into participants in a distributed edge computing network, creating opportunities for hosts to generate recurring revenue while also benefiting from dedicated, private computing resources. We believe this approach can significantly expand the addressable market for edge infrastructure while providing users with a cost-effective alternative to consumption-based cloud and AI token pricing models."