Barilliance helps e-commerce sites of any size to increase sales and conversion rates by providing visitors with a personalized shopping experience. Our Software-as-a-Service (SaaS) delivery and Zero Integration technology are making it super easy for online retailers to reap the benefits of our products without upfront investment.
Barilliance was founded in 2008 and is headquartered in Tel Aviv, Israel.
Nir brings 15 years of experience in product development and business development. Nir spent 7 years at ART Advanced Recognition Technologies (now Nuance) in R&D and business development roles. He was Director of sales and business development, closing deals with the world's largest device manufacturers. Most recently he was VP products at Hingi. Nir holds a BA in Computer Science and Business Administration from Tel Aviv University and an MBA from Harriot Watt university, Edinburgh business school.
Over 12 years of experience in product development and management leading cross-functional teams to meet customer needs. Prior to discovering his passion for starting companies, Ido managed products at Olista, the pioneer in Service Adoption Management. Before that, Ido was at SEVEN networks in Silicon Valley working directly with the world's largest operators and device manufactures including AT&T, Sprint-Nextel, NTT Dococmo, Nokia, Samsung and others. Ido holds a BS.c in Mathematics and Computer Science from Tel Aviv University (Magna cum Laude) and an MBA from the MIT Sloan School of Management.
Dr. Amir Globerson is a senior lecturer at the Hebrew University school of Computer Science and Engineering and a member of its machine learning group. He received his Ph.D. from the Hebrew University in 2006, and was then a postdoctoral fellow at MIT for two and a half years. His main research interests are machine learning with a focus on probabilistic inference, classification, and efficient scalable algorithms. He received best paper awards at NIPS-2004, NIPS-2009, UAI-2007 and UAI-2008, and was also the recipient of the Rothschild postdoctoral fellowship. He is on the editorial board of the Journal of Machine Learning Research and the Journal of Artificial Intelligence Research.