Transform data using AI to gain insights and build a new generation of products.
Visual Search (or Image Search) is an AI (Artificial Intelligence) powered technology that enables users to sift through millions of items in order for them to find the best visually matching items. After the user gives the query image, the search process takes a few fractions of a second and delivers only the visually and semantically relevant results.
Research from Accenture has shown that for 84% of retailers, image commerce or image search is important or very important to their future success. In addition to that, 56% of consumers are interested in the technology and 63% would even consider shifting at least half their purchases to retailers offering it.Read More
Similarity Recommender is a recommender system heavily based on image search and text similarity. It uses the visual similarity of items as one of many criteria for recommendations. This makes browsing through large product catalogs more intuitive and engaging.Read More
Machine Learning and especially Deep Learning can improve and speed up the simulations of linear and non-linear dynamic systems. Their advantages over classical numerical methods are:
Predicting the weather or simulating fluids are just some of the tasks where our models beat classical methods. Deep learning algorithms often used here are 3D convolutional neural networks and generative adversarial networks (GANs).
Babbly is a mobile application that teaches users a new language in a completely different way - using only your camera. No typing, no button clicking. Just point your camera to an object and see or hear the translation.
Babbly can currently translate over 400 objects in 9 different languages. The Babbly AI model is run completely in the cloud on GPU instances with model results exposed through the API.Read More
Planning a new strategy for your company/department? Designing a new product or redesigning an existing one? Our experts can help you to extract more value from your product or service.
Creating and maintaining a dedicated machine learning or data science department incurs large time and expenditures costs, especially for companies that possess little knowledge in this field. In such environments, workshops with a team of experts can provide a lot of value and open some new horizons on how to best take advantage of innovative technologies.
Companies that trust us
University of Rijeka
Jozef Stefan Institude
CS Computer Systems
In previous posts from this series, we discussed how we formatted UWSGI and Python logs in JSON format. We still have one important production component left: the Nginx server. This blog post will describe how the Nginx logging module works, and showcase a simple logging configuration where Nginx logger is configured to output JSON logs.
What is the point in collecting logs and metrics if you don’t use them? In this blog post, we will build upon our previous blog post and connect Fluent Bit log collectors to Elasticsearch along with a basic setup and comparison of Kibana and Grafana, tools often used for visualizing logs
There is a great deal of overlap between the fields of statistics and data science, to the point where many definitions of one discipline could just as easily describe the other. While this is true, there are also many differences between them. Why is statistics important and what is its connection to data science? What is data science? What are their similarities and differences? Let’s try to understand it better at least on a basic level without too much going into subtle details.
Meet our highly experienced team who just loves to build AI and design its surrounding to incorporate it in your business. Find out for your self how much you can benefit from our fair and open approach.Contact Us