With Extendime, you can build unique IoT Solutions that transform your company operations, find new business prospects, and develop innovative products. By combining our experience from IoT consultancy through implementation, we help your business build new revenue streams and become more competitive and efficient.
Smart Factory
Smart Healthcare
Smart Building
Smart Retail
Smart Remote Monitoring
Smart Fleet Management
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Workers and supervisors can make quick, informed decisions using highly sensitive data
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To produce actionable insights, contextualize and analyze enormous amounts of data
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To assure improved quality, we identify flaws and manage dependencies
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Maintenance can be done continuously, saving downtime by quickly detecting faults
case study
Global Structured Finance Ltd (GSF) provides loan eligibility evaluation for banks, trusts, credit unions, and private lenders. Expertise includes cash flow analysis, Treasury balance sheet management, liquidity risk analysis, and hedge effectiveness analysis. Opportunity: They aimed to develop an AI-centric platform that can evaluate loans, assess credit risks, manage assets and liabilities, and generate reports. Approach: AutoML technology has been used to develop an AI-driven web platform. A Django backend and Angular front end were used to implement the solution. It also involves developing Machine Learning (ML) algorithms using H2O AutoML to calculate the Probability of Default (PD), Expected Loss…
case study
Z-Enviro Industries Pvt. Ltd is one of the largest electronics recyclers in Hyderabad, with a recycling capacity of 10,000 tons per year. It was founded in 1999 as Famous Trading Company and mainly dealt with electronic scrap. The company also imported used computers from China, Hong Kong, Malaysia, and other countries. Currently, Z Enviro, as a firm, is working at the pan-India level and provides complete end-life management of electronic equipment, providing a one-stop, cost-effective solution. Opportunity: The company issued invoices to LG, Samsung, etc. in order to process e-waste for its clients. The invoice must be accompanied by images…
case study
The Battery Management System (BMS) is a system that uses artificial intelligence and is designed to predict the remaining battery life of a device. Opportunity: There are many automotive and stationary batteries without any management system, so their capacity declines abruptly, overloading the connected batteries. Approach: The battery is connected to an IoT device that measures current, voltage, and temperature. We used Random forest to extract some features and predict SOH. Using the LSTM time series model, we forecasted SOH and RuC up to 100 cycles later. Results: There were positive results from the studies. To produce more accurate results,…