A startup eradicating the trouble of finalizing venue for events, Venuelook gets backed by prolific angel investors and successful entrepreneurs.
Venuelook’s proprietary aggregation and AI backed algorithms help identify and match customer requirements with the best venue options available, thus simplifying the venue discovery and booking process for weddings, social and corporate events. Their experienced event managers help ensure the event is smooth and hassle-free.
Founded by a first-generation woman entrepreneur, Ms. Ruchi Garg, with over 12+ years of experience in technology and events industry, Venuelook was started with an aim to create an end-to-end solution for every event, from weddings to corporate events, celebratory occasions and get-together parties. Venuelook helps discover and book the right kind of venue using a combination of technology and domain expertise thus offering the Indian consumer a one-stop-shop solution for all their venue booking and event requirements.
Started from Delhi and first covering NCR, Venuelook has helped over 2 lac people discover the right venue for their events. Venuelook’s engine has also resulted in better fill rates. Srikant Sastri, Co-founder, Crayon Data commented “Our investment decision was influenced by the robust tech and execution capabilities built by Ruchi and her team which has resulted in a phenomenal growth rate of over 20% month over month in the last 1 year.”
VenueLook’s founder Ruchi said, “Venuelook has over 15,000 venues already listed, making us the biggest marketplace of event spaces in India. We plan to use the funds from the current round to replicate our success in Delhi-NCR to other major cities of the country. We have already put in place a team for Mumbai and are in the process of expanding to 16 other cities. By making the most of technology and analytics, we will provide better value to both, our end customers who want a hassle-free experience while organizing their events and venue owners, who can leverage our algorithm to improve their occupancy levels.”
Source: BW Disrupt