Autonomous fleet management for heavy construction, agriculture, and logistics
ASI builds hardware and software to convert standard industrial vehicles into fully autonomous fleets via their Mobius platform. The engineering-dominant hiring posture (50 of 57 roles, with 34 senior engineers and a Chief Engineer leadership position) combined with active projects spanning motion strategy, vision systems, and embedded software roadmaps reflects a company scaling core autonomy IP. Pain points centered on field reliability, validation automation, and cost-effective AI scaling signal they are hardening a mature product for real-world deployment rather than exploring new markets.
Notable leadership hires: Chief Engineer
Autonomous Solutions, Inc. operates as an industrial vehicle automation company founded in 2000 by engineers transitioning university research into commercial robotics. The firm serves Fortune 500 customers across heavy construction, agriculture, logistics, and landscaping by retrofitting existing fleets with autonomous control hardware and the Mobius fleet management software. Operations span a 100-acre proving ground in Northern Utah alongside offices in Salt Lake City and Dallas–Fort Worth. With 201–500 employees, ASI is structured almost entirely around engineering delivery, with smaller specialized teams in security, design, and go-to-market.
ASI's stack spans cloud (AWS, Azure, GCP), container orchestration (Kubernetes, Docker), ML frameworks (TensorFlow, PyTorch, TensorRT), embedded systems (RTOS, Embedded Linux), design tools (Figma, Altium), and backend infrastructure (C++, C#, Java, SQL Server, MATLAB).
Current projects include initial autonomous vehicle platform development, validation and reliability testing for subsystems, motion strategy for variable field conditions, vision system integration, truck-to-trailer connection systems, and a go-to-market push in construction technology.
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Autonomous Solutions, Inc. (ASI)'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.