Thank you for your interest in applying for the edLABS program!

edLABS is Gray Matters Capital’s investment initiative that provides early-stage funding to ‘visionary edu-preneurs’, investing up to 2 crores per company to help them build breakthrough solutions for the Indian mass market. We focus on solutions that address education gaps, 21st-century skills, and the future of work.

In line with our GMC mission of reducing barriers for women and girls, edLABS is committed to investing between 2018-2020 and will be looking to make 5-10 new investments every year.

In 2019, edLABS will be focusing on investing in skilling, employability and livelihood solutions towards reducing barriers for women and girls. 

If you believe you have a path-breaking solution that will disrupt existing systems in education and employment space, benefit women and girls, and ultimately lead to a more accessible, quality education, employement creation and/or improved skilling opportunities for jobs of the future, we highly encourage you to apply and look forward to scripting the success of your story with us.

___________________________________________________________________________________________________________________________

___________________________________________________________________________________________________________________________

Here’s a quick low down of our application process: 

If you would like to continue with our initial application process, click ‘Next’.

Please note that this next step takes about 30 minutes and you will be required to have the following materials ready to upload at the end of the application:

• Pitch Deck (we highly recommend you to follow Guy Kawasaki 10-20-30 rule)
• A copy of your most recent CV, as well as the CVs of your co-founders and core team members
• Links, documentation, or videos that will give us a good demonstration of your product in use

Thank you for your interest!

PS: If you don't hear back from us in 4 weeks after your application submission, please consider it as an automatic rejection. Because of the high influx of applications, we won't be able to provide individual feedback at this stage.