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    Rune Technologies Wants to Reinvent Military Logistics From the Ground Up

    ManufacturingNews

    Rune Technologies Wants to Reinvent Military Logistics From the Ground Up

    The defence AI startup has secured $24 million in Series A funding

    Last updated

    In the summer of 2024, David Tuttle and Peter Goldsborough left Anduril Industries with a specific conundrum in mind: despite years of investment in weapons and command-and-control systems, the software infrastructure underpinning military logistics remained largely analog. “The U.S. military runs on Excel spreadsheets and whiteboards,” Tuttle, a former U.S. Army artillery officer, has said repeatedly. Alongside Goldsborough, a former Meta engineer and Marine Corps veteran, Tuttle co-founded Rune Technologies to address a problem they believed was foundational.

    Now, one year later, their startup has secured $24 million in Series A funding, with backing from Human Capital, Pax VC, Washington Harbour Partners, and returning investors including Andreessen Horowitz and Point72 Ventures. The new capital brings Rune’s total funding to over $30 million and is earmarked to scale deployments of its logistics software, TyrOS, across additional U.S. military services.

    Edge-First Architecture for Disconnected Battlefields

    Rune’s flagship product, TyrOS, is designed to automate and optimize the logistics workflows that sustain military forces in high-tempo, communications-denied environments. TyrOS uses what the company describes as an “edge-first architecture.” It embeds AI-driven intelligence directly at the tactical level, allowing the software to function on individual machines even when offline. Once reconnected, the system synchronizes its data with command networks.

    The core value proposition of TyrOS is twofold: reduce the cognitive and administrative burden on military logisticians, and provide faster, more accurate insights into supply and demand across a distributed battlespace. The system employs predictive models trained on environmental and operational data to forecast resource needs, generate resupply strategies, and recommend transportation routes.

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