​Join us for March's Get Seeded Pitch Night, hosted by the UConn Connecticut Center for Entrepreneurship and Innovation (CCEI). These virtual pitch nights showcase student entrepreneurs presenting their innovative ideas and competing for seed funding, with the chance to turn their concepts into reality.

​Why Attend?

• ​Watch UConn students pitch their groundbreaking ideas and see the future of entrepreneurship unfold.

• ​As an attendee, you have the unique opportunity to vote for your favorite pitch, influencing which ventures receive $$$.

• ​Connect with like-minded individuals, potential collaborators, and future leaders in the entrepreneurial ecosystem.

• ​Be part of a community that fosters and supports the next generation of entrepreneurs.

​Students that are selected to pitch have an opportunity to earn up to $1,000 in seed funding for their idea as well as support from other students who may be interested in joining their business venture.

​Each team has 5 minutes to pitch, followed by 3 minutes of Q&A. After all pitches, attendees vote to determine which teams receive $500, $750 or $1000 in seed funding.

​Whether you're an aspiring entrepreneur, student, or someone passionate about innovation, your presence and vote can make a difference. Learn more about this program at ccei.uconn.edu/getseeded.

​Participating Startups

​HuskyGPT
An AI platform for UConn undergrads to better navigate their college experience. Led by Nathan Miller (CLAS)

​Hails
An ethical and sustainable denim brand focused on providing an affordable alternative to low-quality fast-fashion pieces. Led by Hailey Howell (BUS)

​PitStop
Aggregating the auto repair services availability and prices into one platform to save car drivers time and offer a wide range of choice. Led by Salaheddine Miftah (BUS)

​IntelliBlind
Developing smart and practical window blinds that enhance quality of life in homes and offices through automated light control and energy efficiency. Led by Durjoy Bairagi (ENG) and Lakshita Ganesh Kumar (ENG)

​KinetIQ
A performance analytics startup using AI-based motion tracking to correct athlete technique. Led by Palavi Lawate (ENG), Dar Jankovic (ENG), Alyssa Elliott (CAHNR), Sonal Selvakumar, Li Zhiqing, Jonathan Hylton