The application for our winter cohort, which will focus on technologies applicable to agricultural industry, is now open. The deadline to apply is 11/19/2018. For this cohort, we have partnered with AThe application for our winter cohort, which will focus on technologies applicable to agricultural industry, is now open. The deadline to apply is 11/19/2018. For this cohort, we have partnered with AgLaunch, an organization based out of Memphis, TN. Please note that each participating team is required to attend an in-person kickoff event from 12/15-12/16.
Teams must have at least two team members, though a minimum of three is preferable (single-founder companies are ineligible). It is recommended that teams have a balance of business and science-based backgrounds. During the cohort, each team will be eligible to receive funds for technical assistance and will be assigned an experienced mentor from the business community.
The types of ideas and startups targeted by the Delta I-Fund are those based on innovative business models including:
• Patented university research, including medical, biomedical, science, and engineering applications.
• Software and other IT-based platform solutions.
• Any other patented or proprietary technology or innovation which provides a competitive advantage.
As for the stage of the company, the Delta I-Fund seeks very early-stage ideas and companies that need validation, including pre-revenue startups and entrepreneurs still in the ideation stage. Companies that are post-revenue and already positioned for angel and venture capital funding are likely to be too advanced for the program.
The structured training provided during the program is modeled after I-Corps™, a program formed by the National Science Foundation in 2011. Thousands of teams nationally have been through I-Corps, and the curriculum is founded on the Lean LaunchPad™ entrepreneurial training developed by Steve Blank and Stanford University. Entrepreneurs in the Delta I-Fund are taught to develop and document their proposed business model on a lean canvas, and then to test their hypotheses through a rigorous customer discovery process.more
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