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Detect iPadOS 13
Dec 4th, 2019
Starting in 2019, the iPhone and iPod touch run on iOS, while the iPad runs a different OS called iPadOS. WURFL.js device detection distinguishes between individual Apple iPad and iPhone device models.
Read MoreKeeping Smartphones Smart
Feb 28th, 2018
At ScientiaMobile, we take pride in having the highest quality device detection solution available which is why we are constantly keeping pace with the changing mobile landscape (so you don’t have to). [Check out our Mobile Overview Report for up-to-date mobile analytics]. More than four
Read MoreEnterprises Can Simplify Device Detection Deployment and Scaling with WURFL Microservice for Docker
Feb 1st, 2018
RESTON, Va., Feb. 1, 2018 (GLOBE NEWSWIRE) — ScientiaMobile launches WURFL Microservice for Docker to support enterprises that deploy device detection services using Docker containers. These enterprises can easily integrate WURFL into their microservice architecture and seamlessly deploy to servers using Docker’s container framework.
Read MoreScientiaMobile Adds Golang Module to WURFL Device Detection
Mar 30th, 2017
RESTON, Va., March 30, 2017 — ScientiaMobile has released a new module of its WURFL InFuze device detection solution for the next-generation language Golang. Building on Golang’s strength as a compiled language for concurrent transactions and scalability, WURFL InFuze provides developers with easy integration of mobile device intelligence for their server-side applications.
Read MoreLittle Things – Social Media Case Study
Jun 19th, 2016
LittleThings.com uses WURFL.js to help select inspiring and uplifting content for mobile users. The device detection solution improves mobile device navigation and menus. It also provides greater control for advertising targeting and placement.
Read MoreMojiva – Advertising Case Study
Jun 21st, 2013
Mojiva integrates WURFL OnSite into their mOcean Ad Server platform. With device detection, Mojiva can serve device-optimized advertising to their publishers. The result is both better advertising effectiveness and greater target of advertisements by device segments.
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