Nanoprecise Energy-Centered Predictive Maintenance

Nanoprecise Sci Corp is a predictive maintenance company founded in 2017 in Edmonton, Canada, by mechanical engineer Sunil Vedula. It helps process and discrete manufacturers in metals, mining, cement, chemicals, oil and gas, pharmaceuticals, food and beverage and pulp and paper avoid unplanned downtime and wasted energy on rotating equipment.

Wireless IoT sensors stream condition data to an AI and machine learning platform that diagnoses faults, explains the root cause and recommends actions rather than sending bare alerts. The portfolio covers prescriptive maintenance (MachineDoctor, RotationLF) and energy-centered predictive maintenance (NrgMonitor, TransformerLF). Its trademarked Energy-Centered Maintenance approach links machine health with energy consumption, extending monitoring from critical machines to balance-of-plant equipment. Customers range from mid-sized manufacturers to Fortune 1000 enterprises in North America, Europe, the Middle East and Asia.

• MachineDoctor: wireless condition monitoring sensors for rotating equipment.
• RotationLF: prescriptive maintenance analytics for rotating assets.
• NrgMonitor: energy-centered monitoring that ties machine health to energy consumption.
• TransformerLF: predictive monitoring for transformers.
• AI diagnostics: root-cause explanations and recommended actions with under 1% false alarms.
• Hazardous-area readiness: hardware designed for Zone 0 and C1D1 requirements, with SOC 2 Type II security.

A cement or steel plant in Vietnam can monitor fans, pumps and gearboxes for early faults while tracking motor energy waste. A chemical or oil and gas facility can use hazardous-area sensors on rotating equipment. A food processor can extend monitoring to utilities such as compressors and transformers.

The company states a false positive and false negative rate below 1%, which reduces alarm fatigue for maintenance teams. Diagnostics come with explanations and recommended actions, so plants without in-house vibration analysts can still act on findings. Linking machine condition to energy use helps plants find inefficient motors and transformers as well as impending failures.

Rising electricity prices and decarbonisation targets mean factories want maintenance tools that also cut energy waste. Vietnam's energy efficiency rules for large energy users and export customers' carbon requirements push cement, steel, chemicals and food plants to monitor both reliability and energy at the equipment level.

Founded in 2017 and based in Edmonton, Canada, Nanoprecise has an Asia contact line in India. In March 2025 it closed a US$38 million Series C of equity and debt led by Yaletown Partners and BDC's Industrial Innovation Venture Fund, with EDC, BMO Capital Partners and a CIBC credit facility. BetaKit reported ARR of US$10 million in 2024 and plans to expand into Southeast Asia, Latin America, Africa and Australia.