Apartment Address Validation Case Study - Kibage Home Care
At a glance
The Client: Kibage
More than 65 million adults, 29% of the U.S. population, spend an average of 20 hours per week providing free care for their loved ones. Kibage knows that these people need help because the total estimated aggregate of lost wages, pension, and social security benefits for these adult children is nearly $3 trillion.
Further, according to the Genworth Financial 2020 Cost of Care Survey, the cost of home care services increased 4.44% to an annual median cost of $53,7681.
Kibage offers an alternative—a free app that allows family caregivers to build their own network of friends & family to volunteer and help a loved one. When no one is available, and with a push of a button, Kibage's trained and vetted professionals can step in at any moment to help. Care tasks can be created and assigned to one another so that everyone knows the care that is happening with loved ones at all times.
If a task cannot be done by a friend or family member, it may be assigned through an easy in-app purchase to Kibage to handle the care. Kibage also offers remote monitoring and response services, and a full service care agency.
The Kibage system revolves around a central table of addresses. It is vital for those addresses to be validated and geocoded in order to provide care to the right location in a timely manner.
The Solution: US Street Address API and Geocoding API
- Ruby
- Python
- Java
- Go
lookup = SmartyStreets::USStreet::Lookup.new
lookup.street = '1600 Amphitheatre Pkwy'
lookup.city = 'Mountain View'
lookup.state = 'CA'
lookup.zipcode = '21229'
client.send_lookup(lookup)
result = lookup.result
A rapidly growing startup, Kibage is servicing 150 hours of service per day, helping many families balance their loved ones’ needs with their own.
Currently operating in the Southeast Michigan market, Kibage is working on opening a second base of operations in Orlando, Florida.
+
More success stories
Accurate Address Data to Allocate Resources
Provide accurate address data for sales teams
