As part of our NSERC Engage research project on wine recommendations, we conducted a series of experiments in collaboration with Dr. Cooperstock and his team where we invited participants to blind taste wines paired with food. Each participant sampled wines recommended by our proprietary algorithm and by a sommelier with WSET Level 3 Award in Wines … Continue reading Wine recommendations from our proprietary algorithm beats sommelier recommendations by 12.3%
Thank you MT Lab for hosting our latest wine recommendations experiment with our McGill University team. This is what happens when you combine wine tasting, machine learning and science. Another day working at Ayatana Technologies.
We have changed our company name to better reflect our vision and our purpose: leveraging technology to assist consumers discover products based on their taste preferences.
We are proud to be part of the MT Lab’s incubation program second cohort (2018-19) to help promote Quebec local food products and regional cuisine.