Holaverse to Enhance Its App Portfolio With Anagog’s JedAI SDK

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Beijing, Tel Aviv, August 15, 2016. Anagog, the leading provider of mobility status services and solutions for mobile apps and Holaverse, a leading mobile app publisher with a portfolio of games and utility apps, announced today their collaboration to include Anagog’s JedAI SDK in the entire Holaverse portfolio of apps.

Omni Swipe, Holaverse’s popular accessibility app with over 100+ million Google Play downloads worldwide, is the first app to be integrated with Anagog’s innovative machine-learning algorithms to provide context awareness and activity classification. Holaverse hopes such smart technology will provide better functionality, convenience, and experiences for its global user base.

“We are very happy to work with Anagog” said Collin Huang, Co-Founder at Holaverse. “We found their technology to be a differentiator when it comes to providing the right service to our users at the right time and in the right place”.

“We are excited to have Holaverse on board as they are an important partner that can really leverage our JedAI SDK and bring better service and experience to its users”. said Yaron Aizenbud, COO and VP Business Development at Anagog. “In addition, Holaverse’s large user base can improve our crowd-sourced machine learning algorithms for the benefits of end users, so it’s a true win-win scenario”.

Anagog’s JedAI SDK indicates user’s real-time activity/status (e.g., walking, driving) and location (home, office, in the street) in order to offer the most relevant services to the specific mobility status at hand, resulting in better user engagement and loyalty over time.


About Holaverse
Holaverse is a young, fast-growing international mobile application developer and upcoming mobile game publisher. The Shanghai-headquartered company recently closed 70 million USD in Series C venture capital funding.

About Anagog
Anagog was founded by Gil Levy and Yaron Aizenbud in 2010 and used the first years to develop and perfect the mobility status algorithms that allow for advanced on-phone machine learning capabilities for best user experience with ultra-low battery consumption and with a high level of privacy protection. The company have filed 16 patents to date and is currently developing a set of additional related advanced technologies and services.