Skip to main content
PI

Pulse Industrial

The startup develops an artificial intelligence-powered steam trap monitoring device that utilizes vibration and acoustic analysis to detect steam leaks in industrial plants. By employing low power wide area network (LPWAN) communication, the device alerts maintenance personnel, enhancing safety and reducing fuel consumption.

Waterloo, CanadaFounded 2018232K+ followers
Updated 18 months ago

Funding

$4.5M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Steam traps in industrial plants frequently fail, leading to significant energy losses, increased operational costs, and potential safety hazards. Detecting these failures manually is difficult and time-consuming, often requiring trained personnel and specialized equipment. Undetected steam leaks can account for a substantial portion of a plant's fuel and water treatment expenses.

Solution

Pulse Industrial offers an AI-powered steam trap monitoring solution that leverages vibration and acoustic analysis to instantly detect steam trap failures. The system employs wireless sensors that communicate via low-power wide-area networks (LPWAN) to transmit real-time data to a centralized platform. Advanced AI analytics process the sensor data to identify anomalies and predict potential failures before they lead to downtime. The solution provides maintenance personnel with timely alerts, enabling proactive maintenance, reduced energy consumption, improved system reliability, and a smaller environmental footprint.

Target Audience

The primary target audience includes industrial plants, manufacturing facilities, educational institutions, healthcare facilities, chemical plants, oil and gas companies, pharmaceutical manufacturers, pulp and paper mills, and food and beverage companies that rely on steam systems for their operations.

Features

  • Wireless sensors utilizing vibration and acoustic analysis for real-time steam trap monitoring
  • AI-powered analytics to detect anomalies and predict potential failures
  • Low-power wide-area network (LPWAN) communication for reliable data transmission
  • Real-time alerts to maintenance personnel for proactive intervention
  • Software solution compatible with all types of steam traps
  • Web-based dashboard for visualizing steam trap performance and trends
  • Reporting tools for quantifying energy savings and operational improvements
  • C1D2 certified sensors available for hazardous environments
This profile is AI-generated and may contain inaccuracies.