NYC Media Lab Combine

The NYC Media Lab's Combine ran from 2015 - 2020 and is now dormant.

NYC Media Lab's Combine was a venture platform to advance entrepreneurship in emerging media technology. The Combine offered a lean startup accelerator for university startups, corporate intrapreneurship programs, and executive education. Its goal was to help entrepreneurs and innovative companies take advantage of NYC Media Lab's community and the City's thriving technology ecosystem. The university accelerator matched faculty and students working on new technologies emerging from universities with a lean process to advance customer discovery and business model generation.

Cumulative Success Metrics

  • 5 cycles administered
  • 185 applications received
  • 48 teams accepted
  • 45 awards given
  • Over $1.1M in funding awarded by NYC Media Lab to teams
  • Over $8.3M in funding awarded to teams by external sources

2020 Founders' Spotlights

Student Venture Associate Irene Koo had a chance to virtually sit down with cohort member and LostBytes founder Deniz Vurmaz. LostBytes is a sustainable waste tech startup that uses proprietary bio-digester machinery to produce organic fertilizer for plants.

READ FULL ARTICLE HERE

Student Venture Associate Irene Koo had a chance to virtually sit down with cohort member Krystal Persaud of GroupHug. GroupHug creates designer solar panels that hang in any window and charges your devices, providing users a way to be more eco-friendly.

READ FULL ARTICLE HERE

2020 Cohort Teams

Converts food waste to electricity as a clean energy source using a biochemical process to digest food waste efficiently.

A smart dating assistant app that uses AI to improve personalization, gamification and protection against unwanted profiles.

A wellness platform for senior citizens offering specialized content to improve their physical and mental capabilities as they age.

Eye tracking for real-time video content using machine learning in traditional (2D), VR, and AR displays to dynamically alter video content in real time and keep audiences engaged.

Eye tracking for real-time video content using machine learning in traditional (2D), VR, and AR displays to dynamically alter video content in real time and keep audiences engaged.

Interactive story discovery and writing engine that enables users to explore the vast and intricate networks of associated concepts and relevant news based on any given topic.

Developing VR and immersive experiences with AI generated content for location based theater.