Split
App to Avoid Unwanted Social Encounters
Company Overview
Snapshot
Founded in January 2013 by Udi Dagan, Split operates with 1–10 employees. The company has raised $1 million across one funding round from 6 investors. In March 2014, Split secured funding from investors including Oliver Slipper.
Business overview
Split, also known as Time to Split, is a mobile application designed to help users avoid unwanted social encounters. The app integrates with major social networks, leveraging public data such as check-ins, location indicators, geo-tagging in posts, and user-provided location inputs. It alerts users when an unwanted person is nearby, calculates the likelihood of an encounter, and offers advice on avoidance strategies. Split operates in the Media & Entertainment Technologies sector, focusing on social media, location-based services, and mobile applications, primarily serving a global consumer market.
Strategic signal
In March 2014, Split received a $1 million investment from Chris Burch and other investors, highlighting investor confidence in its unique approach to social networking. This funding round underscored the market's interest in innovative mobile applications that offer users greater control over their social interactions and privacy in an increasingly connected world.
Log in to access full profile ›Company Intelligence Q&A
- When was Split founded?
- Split was founded in January 2013 by Udi Dagan.
- What is Split's primary function?
- Split is a mobile app that connects with major social networks to help users avoid unwanted social encounters by alerting them when a specific person is nearby and advising on avoidance strategies.
- How much capital has Split raised in total?
- Split has raised a total of $1 million across one funding round.
- Which investors participated in Split's March 2014 funding round?
- In March 2014, Split received funding from investors including Oliver Slipper.
- What technology does Split utilize for its services?
- Split uses public data, including check-ins, location indicators, geo-tagging in posts, and user-provided location inputs, to provide real-time alerts and advice on avoiding unwanted encounters.