Why choose “Startup Dhaka Accelerator”?

The program is designed to help MVP stage startups to move into investment readiness stage. Startups will be receiving training on customer persona, product design, Market, basic financials, fundraising, cost management, investment, and many more. Experts will mentor each firm on business model development, product development, basics Startup financials, and pitch deck preparation/ investor pitch deck. The participating firms will receive certificates upon completion of online training. The program is a great opportunity to build a network with experts, investors and peer firms.

The program is 6-weeks long.

To participate in the sessions, each startup has to nominate the representative (owner/co-owner/employee) who will be participating the sessions. The startups are required to spend a total of 3-4 hours per week outside the program. The program includes online video sessions, mentoring session, and networking session. Completion of online training, participating in the mentoring sessions and in a daylong networking session are mandatory. Participants will have to record and upload their pitch video and will be required to watch and rate their peer’s pitches. All participating firms will be required to take part in interview surveys twice, before and after the program. Each survey will take 1-2 hours on an average.

50 small to medium sized firms will be selected for the program.

The selected 50 recipients will be required to pay a BDT 1000 deposit as security deposit, which will be fully refunded within one months of the program completion. If you drop out of this program, the deposit will be forfeited.

If you are selected as one of the 50 recipients, Startup Dhaka and MOMODa Foundation will contact you for detailed instructions and further guidance. At this stage, you will be required to pay a BDT 1000 deposit as commitment, which will be fully refunded once you complete the program. After all participating firms are confirmed, each firm will be assigned to the program using randomisation process.