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Nanoprecise Sci Corp

Nanoprecise develops a patented 6-in-1 light harvesting sensor that utilizes AI and IoT technology to monitor machine health and energy consumption in real-time. This enables organizations to identify which 8% of their equipment requires maintenance, thereby increasing operational efficiency and reducing energy costs and carbon footprints.

Founded 201713720K+ followers
Updated 4 months ago

Funding

$38M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

BDYP
Funding rounds are not available yet.

Founders

Product

Problem

Many industrial facilities lack real-time insights into the health and energy consumption of their equipment, leading to inefficient maintenance schedules, unexpected downtime, increased energy waste, and higher operational costs. Identifying the specific equipment requiring maintenance and optimizing energy usage remains a challenge.

Solution

Nanoprecise offers an AI-powered, energy-centric predictive maintenance solution that provides real-time monitoring of machine health and energy consumption. Their patented 6-in-1 light harvesting sensor collects data, which is then analyzed using AI and IoT technologies to identify equipment requiring maintenance and optimize energy usage. This enables organizations to shift from reactive to prescriptive maintenance, reducing downtime, minimizing energy waste, and lowering carbon footprints. The system provides actionable insights, empowering maintenance teams to focus on the equipment that needs attention, when it needs it.

Target Audience

The primary target audience includes industrial facilities, manufacturing plants, and organizations seeking to optimize their maintenance schedules, reduce energy consumption, and improve operational efficiency.

Features

  • Patented 6-in-1 light harvesting sensor for comprehensive machine health monitoring
  • Real-time data analysis using AI and IoT technologies
  • Energy-centric predictive maintenance capabilities to identify energy waste
  • Prescriptive maintenance recommendations, indicating which machines need what maintenance and when
  • Scalable connectivity options, including cellular and WiFi
  • Secure data transmission and storage with SOC 2 Type 2 compliance
  • User-friendly interface for visualizing machine health and energy consumption data
This profile is AI-generated and may contain inaccuracies.