Upload an image and see how our fashion tagging engine works. AI-powered algorithms extract visual attributes from the image and accurately tag the color, style, and other elements of an outfit. This technology is irreplaceable for e-commerce stores. It allows online retailers to fully automate the tagging process, cut costs, and increase profits by enhancing search results and improving product discoverability.
Here is how our data scientists make data science work for you:
We identify your business needs, goals, and data problems you are currently facing.
We build machine learning algorithms and models to organize, analyze, and identify patterns in the data.
We decide on the suitable variables and datasets for the problem.
We ensure data uniformity and accuracy by cleaning and validating your data.
We continue testing, optimizing, and streamlining the data process.
Data science can improve many business areas, help save money, time, grow revenues and market share. For example, you can use your data science to measure productivity, predict demand and market trends, analyze customers' sentiment, optimize marketing spent, and much more. The goal of data science is to improve your business performance by automating processes and optimizing your operations. Without automation and machine learning, it is impossible to analyze and get answers from large volumes of data that nearly every business generates.
We have a simple pricing model allowing you to scale up or down according to your business needs. The cost of the project, team size, number of hours will depend on your projects' complexity and the results you are looking for. We can start from as little as one week to develop a basic model and continue improving the model's accuracy till your goals are met. Learn more about how we work.
Unlike many data science companies, we are not a group of freelancers scattered around the globe. Our data science team is based full-time in our office. Most of our data scientists have Ph.D. or master's degrees, participate in research and development, and read lectures in the prestigious educational institution. We worked with 20+ international customers and developed high-accuracy models for various industries and use cases. Our solid background in machine learning and computer vision allows us to deliver the most complex AI projects to support business growth.
