Event Discovery App Nearify Secures Seed Funding

Gurgaon based Nearify has secured an undisclosed sum in seed funding from Seedfund Advisors and India Quotient.
Total
0
Shares

Gurgaon based events discovery app Nearify has secured an undisclosed sum in seed funding from Seedfund Advisors and India Quotient, with participation from Bedrock Ventures, a seed- and early-stage investor.

nearify

Nearify collects information on a large set of events and makes the list available on their app. Nearify segregates information on the events based upon distance from the current location and genre of entertainment for the user to select based upon his/her needs.

The app aggregates data related to events from the web, which goes through a proprietary data processing engine for quality and relevance. It then collates that events’ data into a common format for users to consume.

Although ticketing facilities are currently not available on Nearify, the firm has plans to introduce this service soon. Nearify will also include an event promotion platform for organizers to list up their events for a fee. Setting up offices abroad is also in the pipeline.

Founded in December 2012 by three IIT Kanpur alumni — Mayank Kumar, Saurav Singh and Vivek Srivastava, Nearify mainly competes with Bangalore-based Explara (formerly Ayojak.com), which is backed by Harvard Business School (HBS) Alumni Angels, Srijan Capital and Blume Ventures and Hyderabad based MeraEvents.

Leave a Reply

You May Also Like

PayU launches PayUPaisa. Empowers individual and businesses to receive online payment within few minutes

The service weeds out the cumbersome documentation process while integrating payment gateways. Through its webstore feature, the company allows individual or businesses to upload their store logo, important informations such as contact details, images including catalogue.
View Post

Why Social Curation is Important for the Online Video Industry

On an average each user has approx 220 friends on Facebook, approx 30 followers on Twitter etc. Each user by the process of social curation creates a large multiplier effect and creates a rich volume of real-time data which could be more useful than the TV rating systems. Now imagine a service that takes this large volume of curated video data and leveraging machine algorithms creates a compelling video discovery experience that mimics broadcast TV but has all the smarts running in the cloud.
View Post