WE HELP COMPANIES LEVERAGE THE POWER OF DATA AND BUILD STATE-OF-THE-ART
AI-powered, machine learning solutions
We use data and machine learning to create intelligent solutions to tackle complicated problems, to help companies increase revenues, reduce costs, automate tasks, optimize business workflows and stay ahead of the competition.
There will always be tremendous values that you might yet explore. Talk to us to find out how we can help.
What WE DO?
We provide professional data science, artificial intelligence consulting and development services to companies. We specialize in the field of AI, data science, data engineering, machine learning, deep learning.
We work with companies that plan to harness the power of artificial intelligence and machine learning. We look for projects in which our AI & Machine Learning consulting services can unlock massive values and significantly improve our clients’ business.
Advanced machine learning is a very exploratory process. We will give you insights into which approaches would best suit your business problem. We will keep you up-to-date with the latest and most advanced machine learning algorithms and models. If we assess that a more simple approach would solve your problem, we will keep it simple to help you reduce costs and achieve the important business objectives.
Feel free to schedule a meeting with us to learn more.
Scoring half a billion consumers for largest banks in three countries.
Our team member was the core part of a Fintech’s big-data and machine learning platform, with advanced credit modelling to predict borrower’s future credit worthiness.
The Fintech startup now works with largest bank in three countries and score nearly half a billion consumers and is on track to score a billion consumers by the end of 2019.
With 11 years of experience in software engineering and 6 years in big-data, data engineering, our team member was in charge of the whole aforementioned start-up’s big-data system from its original creation.
Deep learning model for detecting dangerous cardiac symptoms/diseases which increase the risk of strokes, heart failure and other heart-related complications.
The deep learning model with cutting-edge architecture achieves both accuracy score and f1-score of 93%, which demonstrates a significant improvement in terms of accuracy comparing to the model in production at the time (accuracy & f1-score = 86%), a massive 7% improvement.
Removing the need for cardiologists and doctors to manually review entire length of patient’s ECG records, which sometimes may last for 7 days. Therefore, reducing doctor time, and headcount needed for such task, by approximately 24 times.
We built an ML solution whose performance surpasses the BEST existing solution in US healthcare industry at the time of completion.
An accurate patient demographic record matching solution to reliably match patients with their medical records, which will help US hospitals reduce healthcare costs, better track patient outcomes over time, increase healthcare quality, patient care and satisfaction.
F1-score: 99.19%, Accuracy: 99.34%
1. Mining users relationship (detected Family Members and Colleagues of over 20 million users).
2. Design and develop the algorithm for friend suggestion.
3. Analyze users behaviors and interests.
Recommendation System for a multitude of mobile application services:
- Recommending Products for the app’s online shopping platform.
- Recommending Stickers for user messages – Free Messaging Features
- Recommending Channels, Accounts for users to follow.
Virtual Assistant: for internal use of a Bank
Virtual Assistant: for onboarding and training Customer Service Reps
Plan and propose different approaches, data engineering, data analytics and machine learning solutions
Understanding and documenting business problems. Research existing data infrastructure, platform and conducting feasibility study. Architecting and designing the solutions.
Developing customized, bespoke machine learning, deep learning models that answers the problems our clients have.
Deploy and automate machine learning models. Ensure the deployed software/model is robust and scalable, and requires mininum human intervention.