Corporate cards and smart spend management software
Open for applications
Corporate cards and smart spend management software
101-200 employees
Open for applications
101-200 employees
To simplify spending so companies and teams can focus on growing their business.
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To simplify spending so companies and teams can focus on growing their business.
Traditional finance and internal expense processes are inefficient for companies. Spending on personal credit cards and filing receipts for reimbursement is a convoluted and complicated business practise. There needs to be a digital alternative to the historically laborious process of managing employee expenses.
Float is a fintech solution, built to simplify the inefficient internal expense processes. Rather than following the traditional method of spending on personal/corporate cards, filing expenses, and waiting for reimbursement - Float works by utilising technology that enables managers to allocate funds and approve expenses before purchases are made. The company also supports companies operating with remote workforces.
As the business world moves to become more international, companies will look to make their business spending as simple as possible. Float aims to develop its technology and cater to the challenge of company spending. It's $50 million C in credit financing will go some way to achieving its aims, all whilst expanding its business significantly.
Steph
Company Specialist at Welcome to the Jungle
Nov 2021
$26.5m
SERIES A
Jul 2021
$4m
SEED
This company has top investors
Rob Khazzam
(Co-founder & CEO)Previously worked at Uber for 5 years in international expansion and General Management in Eastern Europe and Canada. Prior to this they worked at a market private equity fund in Toronto.
Griffin Keglevich
(Co-founder)Previous Chief Engineer at Float, responsible for shipping and payments, previously worked in software engineering at KPMG and Shopify.
Ruslan Nikolaev
(Co-founder)Previous experience at WATonomous and then Uber as a Perception Engineer and at Shopify as a Data Scientist.
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