ATL-based Kabbage Gnabs Another Cool $200M from Credit Suisse

kabbage

Kabbage is on an absolute tear this year.  After lining up $250M from Japan’s Softbank earlier in the 2017, the company has received a new $200M revolving credit facility from Credit Suisse to amp up their large loan portfolio.  The firm uses algorithms and machine learning to determine a client’s loan eligibility, and AI is ALL the rage this year in fintech, so it’s no wonder they are doing well on their fundraising, though clearly they are running their business in a way that investors approve of, as well.  We have a friend who works at the firm, and she said she feels lucky to be there.  Enough said.  
(Cindy Taylor/Publisher)


After picking up $250 million in equity funding from Softbank earlier this year, the small business loans and finance company Kabbage — which uses only algorithms and machine learning (no humans) to determine an applicant’s eligibility — is announcing another big infusion of money. The company is picking up $200 million from Credit Suisse in a revolving credit facility that it will use for loans.

Specifically, Kathryn Petralia, who is the COO and co-founded the company with Rob Frohwein, said the funding will help the company increase the number of loans it can make to larger companies in the US. The average size of those loans will grow to “north of $200,000,” she said.

The money getting announced today brings the total debt funding for Kabbage up to $750 million (with previous tranches coming from the likes of Guggenheim Securities), and it is notable for a couple of reasons.

As Petralia describes it, it’s the largest-ever credit facility provided by Credit Suisseto a loans platform that makes all of its lending decisions based around algorithms and machine learning. To date, the company has served 125,000 customers and made over $3.5 billion in loans by evaluating a myriad of data points related to the company, from accounting details to more lateral information related to its social media profile, location, and line of business. With some 1.5 million data points in all being crunched as part of its decision-making, the claim is that Kabbage’s algorithms are more accurate at finding loan-worthy candidates and avoiding defaults. S