AltaStata, founded by MIT Lincoln Laboratory researchers, is offering a strategic partnership to MIT AI startups by providing a free self-service toolkit to our design partners.
The Startup Exchange team is looking for up to 8 Startups to present and exhibit at the conference.
Karl Koster, Executive Director, Office of Corporate Relations
At our annual MIT Startup Ecosystem Conference, we celebrate innovation and bring together its many contributors: entrepreneurs, corporates, and university researchers, as well as government representatives, investors, and those involved with incubators and accelerators. We will assemble to discuss creating, supporting, and scaling new ventures and how to increase productivity and competitive advantage. Aligned with the emphasis of MIT Startup Exchange, we will focus on the startup-corporate relationship. Topics will include pain points, valleys of death, and strategies to avoid as well as how to overcome the stones found along the way.
As always, this event features executives from some of the most promising startups connected to MIT who will present lightning talks in two fast-paced sessions, each followed by an opportunity to have direct discussions.
Many consider this conference a must-attend for innovators and executives at industry-leading corporations, especially those working in innovation, emerging technology, corporate venture capital, and/or corporate development/strategy.
MIT Startup Exchange is looking for 8-12 startups (in IoT, advanced manufacturing, energy, materials, life science & medical devices) to speak at MIT ILP's annual Wuxi Symposium, held virtually on Zoom evening of Wed. Jan. 27th (Jan. 28th Beijing time).
Seeled Air is looking for solutions and technologies in rigid and flexible packaging. Solutions should be scalable and applicable in a commercial setting.
Nan-Wei Gong, Cofounder & CEO, figur8
Join MIT Startup Exchange and MIT xPro for a new startup training series on entrepreneurial negotiations.
P&G is looking for a number of solutions to improve human-robot collaboration and safety. There are three distinct use cases: highly reliable object detection, deterministic localization for mobile robots, and highly reliable recognition of humans.