Certified Startup
ALGOPOWER PRIVATE LIMITED
Sector:
Energy
Business Model:
B2B
Industry:
Energy Generation and Distribution
Technology:
AI / ML Big data
About
Incorporation Date
Mar 20, 2021
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Palakkad
Registered Address
21/7, SREEVASANTHAM, MLA ROAD, AL THARA BUNGLAVKUNNU, KONGAD PALAKKAD Palakkad KL 678631 IN
Office State
Office District
Office Address
21/7, Sreevasantham, MLA road, Al thara, Bunglavkunnu, Kongad, Palakkad, Kerala. 678631
Team
No Photo
RATHEESH VALAYANADU
No Photo
SINDHU N P
Predictive Maintenance of Low Voltage Busduct system using Artificial Intelligence & Machine Learning.Algo power solving the problem of black out in high rise buildings and commercial projects which happens due to the fault occurring in low voltage busduct because of temperature rise and short circu
Sector:
Energy
Industry:
Energy Generation and Distribution
Business Models:
B2B
Technology:
AI / ML Big data

Algopower focusing  on developing the product based on Artificial intelligence and machine learning for predictive maintenance of low voltage busduct for predictive maintenance which will solve the problem/ challenge of black out in Busducts due to temperature rise and short circuit condition.  The product will be cost effective solution to the project owners for maintaining the Busducts without any additional system or manpower and can be assessed remotely also.  The market size of busducts in India is approximately INR 500 crores and Globally USD 3 Billion. From the Market size itself evident that product with an objective to increase the design life of Busducts and eliminating black out will be wide acceptable to the project owners.  Design life of Busducts is normally 20- 30 Years but due to improper maintenance the design life is reduced and black out can happen any time to the end users with power disruption.  Product will be innovative since application of Al & ML for predictive maintenance of Busduct for cost leadership, time and energy saving.With the application of AI & ML  even remote predictive analysis is possible  without visiting the site location.

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