Recommender Systems
With the advent of big data, Recommender Systems become critical for businesses of all size to maximize customer satisfaction through personalized experiences and recommendations, increasing revenue and customer loyalty: restaurant recommendation, article for sale recommendation, hiring recommendation…
Predictive Solutions
Leverage the power of predictive analytics to grow revenues, cut costs, reduce risks: from big data to smart data, with AI predictive models you anticipate what is going to happen and take informed decisions: demand forecasting, revenue forecasting, predictive maintenance…
Business Optimization
Improve the efficiency of your processes. Save time and money by getting the right balance between manual and automated tasks, between machine and human operations: on-demand delivery, maintenance…
Who we are
A multidisciplinary and committed team
Our team is composed of data scientists, AI engineers and software developers. All passionate to deliver operational innovation and concrete solutions.
What we do
Applying AI, deep learning to solve real business problem
We apply AI, ML and Deep Learning to the real world to deliver tangible and measurable benefits to businesses.We do operational research in the field of Recommender Systems.
We are focusing on innovation which delivers the next value to your business
Our process
How it workswhen partnering with us
1
Understand and quantify the business issue you are facing and the problem you want to solve as well as the targeted improvements. Identify the solution(s) already tried if any.
2
Research solutions and come up with a short-list of options, which could achieve your objectives. Prototype and test at low budget (Proof Of Concept-POC)
3
Build the final solution, perform field testing with early adopters at small scale. Tune the solution if needed, fix remaining issues.
4
Roll-out and deploy at a large scale. Benchmark against expected improvements.
Our research and development
The next generation of Recommender Systems.
User Privacy Context Aware Recommender System (UPCARS) is an operational research project we are developing with the support of the Ministry of Transport, Infrastructure and Communication of Romania. UPCARS provides recommendations context based while minimizing the required data collected from users to protect their privacy. UPCARS unlocks RS power for small and large businesses in the fields of Travel and Tourism, Online Stores, Job Boards and HR, Targeted Advertising and Marketing…
Our core competences
