Driving artificial intelligence perfection
Our Featured Work
We have worked for a wide range of global clients from diverse business verticals. Our clients comprise of start-ups, enterprises, blue-chip companies and multinationals - we're proud to showcase and share the details of some of our successful projects. Please feel free to go through our case studies below and contact us if you'd like to find out how we can support and effectively serve the interest of your business.
Here's a look at some results of our expert team’s outstanding work:
Converse Smartly ®
Natural Language Processing
Converse Smartly allows you to make your conversations smart, intelligent and productive with the use of machine learning, artificial intelligence and Natural Language Processing (NLP). Converse Smartly is a cutting edge solution for recording meeting minutes and automatically converting them from audio speech to text words.
Breast Cancer HER2 Subtype Identification
This system was created to provide an automated pipeline for cell segmentation and spot counting from a Computer Vision-based diagnostic-aid for the Fluorescent In-Situ Hybridization test. For this solution we developed a computer aided assistance system that allowed practitioners to perform the test more quickly and accurately while enabling them to digitize and store the images for later usage.
Road Traffic Analysis
Based on vehicle type and classification, this Vehicle Counting System was created using the Deep Learning Method. It can accurately differentiate between different types of vehicles and conduct a total count. It is a must-have solution for road and safety, offering video surveillance and comprehensive video data analysis.
ATM Cash Forecasting
The system created by our expert team helps banks in avoiding both, out of cash and over stock situations, at their ATM machines across the globe. As a per-ATM cash outflow predictor, the solution proposes LSTM-based deep learning models on time-series data and provides automated analysis of past transactions in order to predict the required amount of money for individual ATMs.
Automated Authentication for Drive Thrus
The solution offers multi-modal automated authentication for drive-thrus via fine-grained car’s make/model classification and person identification using deep learning. In order to reduce purchase time at a drive-thru, our system performs transactions by automatically analyzing the live video stream while using the car’s make and model to identify individual customers.
Facial Recognition System
Histogram of Oriented Gradients (HOG)
Our solution offers a highly accurate facial recognition system which provides real time results based on Histogram of Oriented Gradients (HOG) and Convolutional Neural Network (CNN). Utilizing the dLib for face recognition and object oriented detection, we were able to accurately showcase results in real-time.
Our system provides automated analysis of gel electrophoresis images to predict thalassemia and test for mutant gene expression with fine-granularity medical image analysis. It can accurately predict the thalassemia status of patients and helps histopathologists to make error free diagnosis efficiently.
Customer Churn Prediction
A solution based on predictive modelling, the Customer Churn Prediction provides a data driven insight for businesses, helping them identify potentially unhappy and inactive customers in real time with business process validation. Our framework has been developed to quantify customer loyalty and facilitates the reduction of churn rate.