Pinpoint utility pole conditions and defects like crossarm damage, deteriorating pole tops, leaning poles, and more.
CONTACT USCycle-based inspections require dispatching crews to find a needle in the haystack at high O&M costs. Instead, let our technology find problems while you shift your crews to the capital work that matters.
Leverage vehicle travel time to collect valuable data on the condition of your grid. No human intervention required.
Proprietary machine learning models look for distribution asset and component defects, surfacing relevant data for further verification.
At-scale data collection and analysis of your grid minimizes reliance on time-based inspection cycles.
Flagged defects are automatically transferred to the cloud for processing, enabling rapid turnaround time.
Our cloud software has an extensive API that can easily communicate with work order systems to automatically create tickets for field crews.
Our system is specifically designed to address the unique challenges faced by the distribution grid.
Once you start a project with us, we ship you the hardware and a customer representative will travel onsite to make sure that everything is properly mounted, calibrated and configured.
You operate the vehicle as normal—we'll monitor the system status remotely to make sure that the data collection is going smoothly.
Our proprietary machine learning models process the collected data to get immediately operationalized results—not data overload.
Noteworthy Inspect is the only system that solves data collection challenges at-scale by leveraging your existing fleet and operating fully autonomously with no crew disruption. To learn more about how our solution compares to other technologies, download our whitepaper below.