Kirsten Cave
Data Processing Specialist at Itemize Smart Document Data Extraction
Kirsten Cave's Professional Contact Details
Email (Verified)
****@itemizecorp.com
HQ
(212) 206-0880
Location
New York, New York, US
Company
Itemize Smart Document Data Extraction
Person Seniority
entry
Kirsten Cave's Current Company Details
Itemize is a receipt data extraction and management company. Built by payments industry veterans, Itemize's solutions simplify expense capture and expedite reimbursement for business expenses. Its pr...
Itemize is a receipt data extraction and management company. Built by payments industry veterans, Itemize's solutions simplify expense capture and expedite reimbursement for business expenses. Its proprietary platform employs machine learning to transform receipts and invoices into data, achieving unprecedented extraction accuracy and granularity in under 15 seconds with no user data entry. Itemize offers services through an API, mobile apps, cloud-based web apps (www.itemize.com), and financial institution partners in the corporate market.
Founded Year
2012
Organization Website
itemize.com
Organization Languages
English
Organization Revenue
6000
Current Technologies
route 53
mailchimp mandrill
sendgrid
gmail
google apps
godaddy hosting
google font api
google play
mobile friendly
itunes
google tag manager
youtube
freshdesk
apache
wordpress org
google plus login
shop smarter
great small business tool
track all purchases
proprietary ocr
ocr
natural language processing
machine learning technology
digital receipts wallet
personal recommendations
organize spending
api
financial supply chain
expense management
detailed extraction
mobile application
online receipt organizer
item level detail
payments & banking
english speaking world
computer software
e-commerce
personal finance
fintech
artificial intelligence
information technology & services
internet
consumer internet
consumers
finance technology
finance
enterprise software
Kirsten Cave's Work History and Education
Itemize - Smart Document Data Extraction
Data Processing Specialist
2017 - Present
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