One Stop Systems (OSS) announced a $2 million initial purchase order from a leading autonomous construction and mining equipment manufacturer for its Gen5 ruggedized, 3‑U liquid‑cooled short‑depth server (SDS). The order is expected to generate roughly $2 million in revenue in 2026 and establishes a five‑year pipeline of $10 million to $15 million, underscoring the company’s growing presence in the commercial edge‑computing market.
The Gen5 SDS platform is engineered for mobile, power‑constrained environments typical of heavy‑equipment operations. Its high‑density AI acceleration, advanced liquid cooling, and enterprise‑grade reliability enable real‑time perception, decision‑making, and autonomy on construction and mining rigs—capabilities that were previously limited to OSS’s defense and aerospace customers.
This win marks a strategic expansion beyond OSS’s traditional defense focus. The $2 million order represents about 10 % of the company’s 2025 revenue, while the projected pipeline adds a new, recurring revenue stream that could accelerate growth in the autonomous industrial sector. The deal also validates the Gen5 SDS architecture in non‑military applications, positioning OSS to capture a broader share of the rapidly expanding autonomous equipment market.
In Q3 2025 OSS reported $18.8 million in consolidated revenue, up 36.9 % year‑over‑year, and raised its full‑year 2025 revenue guidance to $63–$65 million. The new order adds to this momentum, providing a tangible example of the company’s ability to win high‑value contracts in emerging commercial verticals while maintaining positive adjusted EBITDA of $1.2 million for the quarter.
Management highlighted the order as a “significant milestone” that demonstrates the Gen5 SDS platform’s versatility. CEO Mike Knowles noted that the partnership “enables real‑time perception and decision‑making for mission‑critical industrial applications,” reinforcing OSS’s strategy to diversify beyond defense. Industry analysts view the deal as evidence of growing demand for ruggedized edge computing in construction and mining, sectors that are increasingly adopting autonomous and AI‑driven technologies to improve safety and efficiency.
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