Reducing the Need for Agricultural Equipment Repair

From milling and crushing to conveying and drying, our AI-driven platform helps you prevent breakdowns, reduce unexpected repairs, improve efficiency, and reduce emissions in the agricultural industry.

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The Top Solution for Agricultural Equipment Maintenance

Prevent Breakdowns Before They Happen

Detect early-stage faults on motors, gearboxes, fans, and drive components so small issues don’t escalate into costly shutdowns and give maintenance teams the time to act proactively.

Reduce Emissions in Agriculture Operations

Optimize the performance of equipment to cut energy use by ~20%, supporting sustainability goals, reducing emissions and the overall carbon footprint of agricultural operations.

Shift from Reactive to Predictive

Energy-Centered Maintenance (ECM), is an enhanced predictive maintenance approach that uses AI-driven insights detect faults early, enabling planned maintenance instead of emergency repairs and keeping production running smoothly.

Maximize ROI and Operational Efficiency

Improve reliability and energy efficiency simultaneously to achieve 10× ROI, reduce material waste, and lower maintenance costs.

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Nanoprecise: The IoT Solution for the Agricultural Industry

Early Fault Detection & Shutdown Prevention

Stop minor issues before they interrupt production and prevent the need for emergency repairs.

24/7 Asset Monitoring

Ensure gearboxes, bucket elevators, mills, flakers, aspirators and more operate reliably, flagging what equipment needs mainteance now.

ROI-Driven Maintenance

Our customers have seen ROI in as littl as 3 weeks!
Turn maintenance into a profit-driving activity. Reduce over mainteance and focus on what matters to identify issues before they stop production.

Energy Solutions for Agriculture

Stop minor issues before they interrupt production.

Accurate Remaining Useful Life (RUL) Predictions

Our AI algorithms analyze historical data, equipment conditions, and performance trends to forecast the remaining lifespan of critical components.

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Trusted By Your Peers

Case Study: Energy-Centered Predictive Maintenance for a Leading Milk Producer

A North American milk product leader deployed Nanoprecise to monitor over 6 critical asset types, including motors, pumps, and fans.

Shortly after deployment, the system detected emerging faults on a 30 HP reverse osmosis pump motor, with RMS velocity amplitudes increasing from 0.2 in/s to over 2 in/s.

Early alerts allowed maintenance teams to repair motor mounts, inspect couplings, and adjust VFD speed ranges.

This early detection prevented unplanned downtime and avoided thousands in lost production. Continuous monitoring improved equipment reliability, lowered maintenance costs, and ensured production efficiency, product quality, and team safety.

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