Apps Like SHU Safe for iPhone and iPad
Contact public safety quickly and easily.
The app allows users to quickly contact the University's public safety department during dangerous situations. Users can send text messages, photos, and videos to the department.
SHU Safe screenshots
Ranked alternatives
Showing 941–960 of 1,000 ranked alternatives.
Rakuhon
System Advance Co., Ltd.
Makes smartphones much easier to use.
The app displays messages and uses visual icons with large characters for ease of use. It offers one-touch dialing for up to three contacts and an SOS emergency call feature for quick access.
tinyFinder
Skywind, Inc.
Locate valuables with Bluetooth connection.
The app is a quarter-sized device that connects via Bluetooth 4.0 to a smart device. It can be attached to items and traced through the app within a 150-foot range, with visual radar and an alarm.
MyPestGuide - Crops
Department of Primary Industries and Regional Development
Identify pests and report observations instantly.
The app allows users to identify pests and report observations to the Department of Primary Industries and Regional Development. Users support the local community and protect the environment by reporting suspected exotic pests.
New London PD
City of New London
Submit tips and view crime alerts.
The app allows citizens to submit anonymous tips to the New London, CT Police Department. It also displays agency crime alerts and other organization web and social media content.
Flow UC
Telavox AB
View colleague presence, make calls, switch between
View real-time colleague availability to reduce communication delays. See if someone is in a meeting, on vacation, or busy. Group colleagues by department for easier access. Place calls using a built-in soft phone.
NapaPD
City of Napa
Submit anonymous tips to police.
The app allows citizens to submit anonymous tips to the Napa, CA Police Department. It also displays the agency's online crime map and other organizational web and social media content.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.