Bringing AI to the masses through a simplified interface
Artificial Intelligence
OUR Offerings
We offer Artificial Intelligence (AI)-driven services that will help you run your business more efficiently, safer, and smarter. By applying AI, Extendime helps businesses uncover new insights and improve their practices. With our cutting-edge technology, we can retrieve relevant data, which means critical business decisions can be made without guesswork.
Speech Recognition Software
Automated Chatbots
Machine / Deep Learning
Natural Language Processing
Knowledge Virtualization
Robotic Process Automation
Text to Speech
Visual Search & Image Recognition
Our Approach
01
Pattern Recognition
Utilizing powerful visual scanning and pattern detection technologies, and integrating technology into the interface efficiently and effectively
02
Customer Support
Having interactive AI bots that are available 24/7 to answer any queries and questions
03
Analytics
Provides insights into resource management, performance, and efficiency, among other things
04
Data Processing
Outsource complicated data processing tasks to our adaptively learning machine to help establish better business strategies
Machine Learning
Get your business up and running with tailor-made machine learning solutions
Case Studies
case study
Global Structured Finance LTD | 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 | 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
Battery Management System (BMS) | 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,…