In-House AI Assistant

Studies consistently show that only 24.5% of a maintenance technician's time is spent on productive "wrench time" (actually fixing the machine). The staggering 75.5% of non-productive time is consumed by waiting for parts, traveling, and the critical inefficiency of searching for documentation and diagnostic context (Knowledge Search Time).

This "Action Gap" between a machine signaling a fault and a human knowing exactly what to do is where the majority of MRO budgets are wasted.

Arkim AI provides the Prescriptive Intelligence layer that closes this gap. By capturing "tribal knowledge" and consolidating multimodal inputs (Video, Audio, Sensor, and Manuals) into an AI Co-pilot, Arkim automates the diagnostic and documentation search time, allowing organizations to attack the 75.5% inefficiency and effectively double the wrench time and overall productivity of their existing workforce.