Bren enables to monitor critical equipment for facility to provides energy, maintenance, and time savings up to 15% by using batteryless sensor technology and machine learning algorithm.
Current Status
For 9 months, we have sold our products on different markets having 22 industrial customers.
Market
Industries benefit from steam technology for various goals energy,plants, Textile, Automotive,Chemistry, Paper, Packaging, Pharmaceutical Industry, Oil & Gas, Food & Beverage. The number of steam traps is changing in these sectors depending on natural gas/coal consumption monthly. Industrial IoT market over 100 billion USD (TAM) market and CAGR of 30 %.
Problem or Opportunity
Industries are using steam technology for heating,generating power, chemical process, sterilization.They have many critical types of equipment to control it. One of this critical quipment is Steam Trap, they need to make regular maintenance on time converting back of steam energy. Steam leakage, failure occurs when steam passes through the pipeline inside of the steam trap. Industries having among hundreds/thousands of steam traps, could not be found failures and steam leakage on time. These steam traps could be monitored autonomously sensors, but it means battery problem.
Solution (product or service)
Bren has self-powered batteryless sensor technology, no battery replacement, and costs to monitor steam traps. We are installing these sensors in less than 10 min. and enabling to monitor always actively from cloud-based AI platforms from everywhere. Failures, blocked, and steam leakage are given by the BRENCLOUD platform. We are using high efficient design and applicable energy harvesting module only converting surface temperature to electrical to charge the sensor. Gathering temperature and vibration data at every one minute from steam traps are transferred into cloud-based platform.
Competitors
Bren :Turkey, Europe, England, USA,UK Everactive: USA Pulse : Canada DCO Systems: UK Emerson
Advantages or differentiators
Hybrid energy harvesting module Useful in High-temperature areas Price Advantages High Accuracy Machine Learning Algorithms Temperature and vibration confirmation
Finance
Monthly revenue increase 7X in 9 months. (490 EUR/ sensor + 2000 EUR/ year MRR is 50K EUR.