SuperAnnotate unifies your AI pipeline and simplifies dataset creation, curation, and model evaluation, enabling you to build, fine-tune and deploy better models faster.
Before SuperAnnotate, Vahan was working on his Ph.D. research in image segmentation at KTH Royal Institute of Technology, Sweden. The algorithms he developed during his studies became the basis of SuperAnnotate’s platform. The growing demand for his technology in various computer vision applications eventually led him to drop out of his Ph.D. program to start the company.
Physicist turned tech enthusiast and entrepreneur. After earning his master’s degree in Physics from ETH Zurich in Switzerland, Tigran pursued his Ph.D. in Biomedical Imaging and Photonics. Just before graduating, Tigran dropped out of his Ph.D. program to start SuperAnnotate with his brother, following his passion for building comprehensive teams and making products people love.
Jason loves building and growing companies at the forefront of machine learning and artificial intelligence. As a Director of Business Development at DataRobot, Jason led several key technology alliance partnerships in cloud, analytics, and data management. He also led business development and operations at Qeexo, driving the deployment of almost 200 million machine learning models into production. Jason has an MBA from UC Berkeley’s Haas School of Business and an undergraduate degree from the Massachusetts Institute of Technology.
David completed his master’s degree in Microelectronic Circuits and Systems in 2007 and worked at Synopsys as an R&D engineer and supervisor from 2005 to 2012. Before joining SuperAnnotate, he spent four years in the hardware design field at Singapore Technologies Kinetics before leading the web development team at Workfront, a leading project management software provider.
