AdaViv is creating the future of indoor agriculture – today. Our technology delivers unprecedented precision and quantitative insights for indoor cultivators to grow crops to their fullest potential. We enable growers to inspect 24/7, save energy and costs, and achieve higher yields and quality.

Ian Seiferling

Ian grew up in the sparsely populated Saskatchewan prairies, where with nothing between himself and grassland fields but a rusty barbed-wire fence he developed a strong interest in nature and ecology. This initial passion for nature guided his career towards the pursuit of understanding human-nature interactions and, most recently, the use of AI technology for better food and medicinal systems. Ian is currently a Postdoctoral Fellow at MIT Senseable City Lab. Applying computer vision and machine learning, Ian develops new tools to improve how cities and their citizens view, interact and manage urban environments, trees and green spaces. Ian holds a PhD in environmental sciences from Université du Québec à Trois-Rivières. For more visit:

Thomas Matarazzo

Thomas joined the MIT Senseable City Lab as a postdoctoral fellow in September 2016. He is working towards using mass smartphone data in cities to quantify infrastructure health cost-effectively. He grew up in central New Jersey and followed the footsteps of his grandfather, uncle, and brother, by studying Civil Engineering at Manhattan College, where he earned a B.S. Summa Cum Laude. He pursed graduate school at Lehigh University, where he received an M.S. and Ph.D. in Structural Engineering for his work on mobile sensor networks for structural health monitoring. Shortly after, he joined the Nakashima-Kurata Lab at Kyoto University for one year to research sensing systems for post-earthquake structural assessments. For more about his research:

Julian Ortiz

Julian was born and raised in Colombia. He developed a passion for agriculture from his grandparents, who were farmers in “Valle del Cauca”. He has two bachelor’s degrees (i.e. B.A. Economics and BSc. Industrial Engineering) and a Masters in Economics. He worked on several initiatives to stimulate economic and social development throughout South America. In one of those efforts, Julian helped to establish a sustainability consultancy company called RedES CAR. Then, Julian worked in McKinsey & Co for 3 years. At Sloan, Julian is pursuing the Sustainability Certificate in his MBA. He is an active member of the Impact Investing, Entrepreneurship & Innovation, and SEID (Sloan Entrepreneurs in International Development Club) clubs.

Mohammad Vazifeh

Moe Vazifeh is a Senior Postdoctoral Associate at MIT Senseable City Lab. At MIT, Moe's interests are centered around mining and modeling of complex patterns in large-scale spatio-temporal urban data as well as devising novel optimization and machine learning algorithms to improve the quality of life in cities. He holds a PhD in theoretical physics from the University of British Columbia. For more visit:

AI-enabled adaptive environment for improving yields in indoor agriculture.