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Present Your Startup at Winter 17' Demo Day


CyberLaunch is the leading accelerator for cybersecurity and machine learning startups. We provide seed funding, access to mentors and investors with deep expertise in information security & machine learning, and many perks. Our goal is to get you to the point where you’ve built something impressive enough to raise money on a larger scale. We also get our startups incorporated properly, help find and hire first employees, and many other things.


Demo Day

CyberLaunch Demo Day has the mission of connecting investors with the most talented cybersecurity and machine learning entrepreneurs. Therefore, we are hosting a startup showcase (20 companies) featuring some of the most exciting cybersecurity and machine learning startups. This is an opportunity for you to meet with investors, partners, and mentors all in one day.


Why present your startup

  1. Sponsored exposure. Selected poster startups attend at no cost. This is an invite-only event for active & accredited investors, corporate strategics, & mentors.
  2. One-on-one meetings. Accepted startups have the opportunity to schedule up to 6 one-on-one meetings in the morning (10am-1pm) with investors.
  3. Pitch to investors. We will have over 250 investors and innovators in the room (angels, VCs, and strategic investors).
  4. Engage with our community. We have 115 mentors available to help scale your startup.



  • March 3, 2017   – Deadline to submit poster application
  • March 7, 2017   – Finalists notified
  • March 29, 2017 – Demo Day at Atlanta Tech Village (3423 Piedmont Rd NE, Atlanta, GA 30305). Register @ cyberlaunch.eventbrite.com


What needs to be on the poster? 

In short, anything you think is relevant.  There are no formal rules as to what can be on the poster. We'll have easels at our event to mount your posters. If you need any special considerations for your setup, let us know and we will try to accommodate you. Please contact kyle@cyberlaunch.vc for questions regarding the poster showcase.


Application Form