Rashmi Guptey
1st February 2022
Harish Talreja
25th January 2022
Sid Talwar
31st December 2021
Ankit Moorjani
30th June 2021
20th January 2024
Sandeep Murthy
17th March 2022
1st January 2020
20th November 2017
7th June 2022
15th May 2022
17th February 2022
28th November 2023
Prashant Mehta
2nd February 2022
22nd September 2021
30th August 2021
15th March 2022
21st January 2022
14th January 2022
4th October 2024
5th August 2024
25th June 2024
20th December 2023
20th October 2021
25th April 2021
Akshat Jain
12th February 2021
31st May 2020
Tanya Rohatgi
19th August 2024
20th June 2024
Siddhant Ahuja
25th April 2022
14th February 2022
2nd June 2018
5th June 2024
15th February 2024
9th February 2024
26th May 2022
1st February 2024
20th November 2020
Shivani Daiya
20th February 2020
17th August 2014
18th July 2019
17th September 2021
15th September 2021
Maansi Vohra
28th January 2021
Atharva Purandare
10th January 2021
Tanvi Ghate
23rd January 2024
Ahan Rajgor
12th May 2022
8th March 2022
22nd February 2022
22nd August 2024
29th July 2024
5th June 2022
5th May 2022
16th April 2021
15th November 2014
25th October 2021
8th March 2020
7th August 2018
27th December 2016
17th February 2021
29th September 2020
24th September 2020
26th July 2020
20th January 2020
15th October 2018
26th June 2018
13th June 2017
21st May 2024
13th February 2024
15th July 2024
10th April 2024
20th February 2024
That’s what Embibe taught me over the last four years, as an investor and advisor.
During this journey, the company faced many difficult, make or break choices:
– Remain in Mumbai or move the entire team to Bangalore– Invest in data science and AI, when most people didn’t know what AI stood for, or plough funds back into sales and marketing– Keep charging for the product or give everyone free access to the learning platform
And, all of this, while never having more than six months of cash in the bank!
Little did I know, from the day I met Aditi, founder & CEO of Embibe, at a Starbucks four years ago, that this partnership would be a series of high stake trade-offs, with no guaranteed outcomes.