Machine Learning
We build recommender systems capable of presenting personalised product selections for each individual user. Achieve ecommerce success with solutions applied to your website, mobile app or a personalised newsletter.
We apply Machine Learning techniques with complex model development, customized to our clients in the areas of Natural Language Processing (NLP), through Fine-tuning BERT (Transformerbased) model for NER (transfer learning)/slotfilling technique.
Solutions
Tools
Platform
Applications
We extract useful information by classifying words, sentences or documents. We generate models (predictions) that also work with images or other types of data and integrate them into other systems that can then be deployed (MLOps). Applied results: text summarization, keyword extraction, sentiment analysis, question answering.
Use Machine Learning for new business opportunities, automating recurring tasks and optimizing decision-making!
Artivive
The world's number 1 app for art using augmented reality, with 150,000 creatives involved from 120 countries, exciting community that has created over 500,000 works of art.
To make artworks as accessible and tangible as possible, we created "Art Butler", our artificial intelligence-based image classification system, capable of identifying different art styles, emotional associations and visual qualities of artworks. We use it to suggest labels for artwork images uploaded to our platform by artists.
Logomix
A recommendation engine based experience that selects and creates your next logo, business card or promotional products for a webshop, designed to build loyalty and loyalty of your customers.
We've built an email marketing recommendation engine, personalised for each user, so that using ML you can better segment and target customers - a system capable of sending 100 million emails per month.
Vertex AI integrations
Vertex AI is a unified and managed ML platform for all AI workloads on Google Cloud Platform. It is a toolset for a complete machine learning workflow, a sequence of steps in model development, a deployment cycle such as data training/validation, model training, hyperparameter tuning, model validation and model deployment/hosting.
Vertex AI comes with all the standard resources, plus an ML metadata store, a fully managed feature store and a fully managed pipeline runner.
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