Plain English intro to your first AI project: why the idea of accuracy is dangerous and why 99% is probably not the number you need.
Our CEO, Lukáš Kovařík, recently had the opportunity to be a guest speaker in the AI:IRL podcast where he shared his insights about over-hype surrounding AI.
How an innocent-looking cognitive bias can ruin your machine learning project before it even starts. This was demonstrated on a mystery shopping experiment we conducted on Upwork.
Mining Structured Data From Recipes
API for extracting ingredients, quantities and other entities from unstructured text.Read case study →
Deal Aggregator With NLP Engine
How Spanish gamers get the best offers 24/7, thanks to natural language processing.Read case study →
Recommending Online Courses
Boosting conversion rate with a tailor-made recommendation system.Read case study →
Generating Articles From Time Series Data
We turn data into natural language stories with our flexible NLG system.Read case study →
How to save editors' time using scraping and deep learning - at scale.Read case study →