Just as a manipulation of a single molecule can change the properties of the entire substance, each of us, as an important cell of something bigger, can make a change. We are motivated. Motivated by an irrepressible desire to impact lives. We have a great story, and this is a place for it to live.
We believe there is a better way to drive AI innovation and that computer vision can be accelerated for countless applications to improve the quality of life. This led my brother and I to drop out of our PhDs to start our adventure that we called SuperAnnotate.
We’re not superhumans, not even close, but what we created did eventually grow into a superpower to many.
We drink our coffees. We brainstorm. We complain and support. We work hard. We empower. We fail. We don’t surrender. We suddenly spill coffee we had sitting there since morning just because we were too obsessed with what we do. We hype each other up. We fix. We repeat. We fascinate and get fascinated by the results, and we give the loudest high-fives from across the miles.
At our core, SuperAnnotate is an opportunity, an opportunity to break the mold. The rest is history.
Welcome to SuperAnnotate! You’re beyond borders.
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.
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.
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.
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.
Stefan completed his master’s degree in management in digital business at the IE Business School in 2015. Stefan has over eight years of experience in various companies, including Coca-Cola, Nike, Workfront, and several startups. Before joining SuperAnnotate, Stefan designed the product strategy for Workfront mobile products; a short time after its implementation, daily active usage increased by 145%.
Tigran completed his MBA degree at the American University of Armenia in 2014. He has over 10 years of experience in Marketing and worked at various VC-backed startups leading their marketing activities. Tigran has a strong passion for discovering and building scalable marketing channels that help the companies grow their leads and revenue.
Sharek specialises in creating and scaling operations processes and teams with 10+ years of experience in Operations Management, Supply Chain Management, and Business Development. As the CEO of Acme AI, he created the first data labeling company for computer vision in Bangladesh, and was key to multiple partnerships with global data labeling platforms. Before that, he was the Country Director of LaborVoices Inc., where he set up the management team for Bangladesh, and rolled out countrywide operations supporting LaborVoices' technology for creating a platform for on demand supply chain analytics of global apparel brands. Sharek is an alumnus of The Australian National University. In his leisure time, he loves to read books and play with his daughter.
Currently, Sharek oversees all data labeling business of SuperAnnotate, and manages the SuperAnnotate's annotation marketplace.
Susanna entered the startup ecosystem by joining SmartGateVC and helping the firm build an entrepreneurship hub in Armenia. Through managing operations and outreach at SmartGateVC along with leading finances at the Armenia Startup Academy, Susanna has worked with over 100 teams on various team-building initiatives with a core focus around shared values. Susanna has a strong passion for helping to shape communities and bringing teams of diverse backgrounds together.
Tatevik has extensive experience in customer support leadership roles within a SaaS environment with a focus on directing the design, planning, and implementation of customer support programs. She has successfully built a vision and roadmap to deliver exceptional client assistance. Her efforts helped drive revenue targets, support customer adoption, retention, and expansion with long-term client relationships and increased satisfaction.
Tatevik is an alumna of the Brusov State Linguistic University of Armenia, a Service Capability & Performance Certified Support Supervisor by Service Strategies, USA, and a loving wife and mother of 2 kids. In her leisure time, she loves to read books and play the piano. Currently, Tatevik oversees the Customer Support and Enablement Department at SuperAnnotate.
Wade is a Sales enthusiast and has spent several years in software startups as a closer, sales leader, and investor. At SuperAnnotate, he is leading the Sales & Sales Development teams. Wade holds an MBA from the University of North Carolina Chapel Hill Kenan Flagler Business School and an undergraduate degree from Carnegie Mellon University, where he played football and baseball. He is also a huge fan of the Georgia Bulldogs football team (Go DAWGS).
Pieter Abbeel is a professor at UC Berkeley, Director of the Berkeley Robot Learning Lab, and co-director of the Berkeley AI Research Lab. He is also the co-founder of covariant.ai, a startup that aims to teach robots new complex skills. He is best known for his cutting-edge research in deep reinforcement learning and robotics.
Trevor Darrell is a professor at UC Berkeley and founding co-director of the Berkeley AI Research Lab and Berkeley Deep Drive. He is known for his research on computer vision and is one of the leading experts in modern computer vision and deep learning. Darrell’s group at UC Berkeley developed the Caffe deep learning library.
Gary Bradski, PhD is a leading entrepreneur and researcher in computer vision and machine learning. He founded and is President of the most popular computer vision library in the world: OpenCV http://opencv.org/. He organized the computer vision team for Stanley, the autonomous car that won the $2M DARPA Grand Challenge (now in the Smithsonian Air and Space Museum) which in turn kicked off the autonomous driving industry. Gary served as a visiting Professor at Stanford University Computer Science department for seven years. He helped develop one of the first Video Search startups, VideoSurf, that sold to Microsoft in 2011. He founded Industrial Perception Inc. which sold to Google in 2013 and he created the Silicon Valley office of Magic Leap. He co-founded Arraiy which sold to Matterport in 2019. He serves on the boards and advisory boards of over a dozen startups and is now Founder and Chief Scientist of OpenCV.ai, an AI product development company
Ming-Ming Cheng is a professor with the College of Computer Science, Nankai University, leading the Media Computing Lab. He received his Ph.D. degree from Tsinghua University in 2012 and then worked with Prof. Philip Torr in Oxford for 2 years. His research interests include computer vision and computer graphics. He has published over 60 papers in leading journals and conferences, such as IEEE TPAMI, ACM TOG, IEEE CVPR, etc. Many of his algorithms have become quite popular in the community, receiving more than 19,000 paper citations. He received several research awards including ACM China Rising Star Award, the IBM Global SUR award, etc. He is a senior member of the IEEE and on the editorial boards of the IEEE TIP.
Michael Aday has 20+ years experience developing products and ecosystems at fortune 100 companies, including Microsoft and Hewlett Packard, and three of his own startups (all three were acquired). He has always had a passion for Computer Vision, AI, and Machine Learning and is incredibly excited about SuperAnnotate’s ability in dramatically increase the efficiency of annotation. As VP of Partnerships at SuperAnnotate he is building win-win partnerships with influential companies and communities in the CV space.