May 11th 2024.
In a bustling city like New Delhi, the startup scene is thriving with a recent influx of investments. This week alone, a staggering $320 million has been raised by 24 Indian startups, with a mix of both growth-stage and early-stage deals.
According to reports from Entrackr, four early-stage startups have chosen not to disclose the amount they have raised. This is in line with last week's trend, where 28 startups collectively raised around $340 million in funding.
Out of the 24 startups that received investments, seven were in the growth-stage and have raised a total of $287 million. The highest funding of $105 million went to Atlan, a data and AI governance firm. Following closely behind were NephroPlus, a dialysis chain, GreenCell Mobility, a shared electric mobility startup, K12 Techno Services, an education service provider, and Lendingkart, a lending firm, which raised $105 million, $36.7 million, $27 million, and $10 million, respectively.
On the other hand, 13 early-stage startups have secured a total of $33 million in funding this week. The top spot went to Superplum, a direct-from-farm produce supply chain startup, followed by Poshn, a platform for wholesale buying and selling, Parseable, a log analytics startup, Cornext, a fodder ecosystem to support dairy cattle farmers, and Regrip, a re-engineered tyre startup.
The list of early-stage startups also includes GyanLive, QUE, trackNOW, and Food Square, who have not disclosed their funding amounts. In terms of location, Bengaluru-based startups led the pack with nine deals, followed by Delhi-NCR, Mumbai, Hyderabad, Ahmedabad, Gandhinagar, Indore, and Kolkata.
The continuous flow of investments in the Indian startup ecosystem is a testament to the growing opportunities and potential for innovation in the country. It is a promising sign for both the startups and the investors, and we can only expect this trend to continue in the coming weeks and months.
[This article has been trending online recently and has been generated with AI. Your feed is customized.]
[Generative AI is experimental.]
