Cases

Our track record

Our cases

Swishfund

Case

Swishfund is a Fintech lender, revolutionising Business Loans. They guarantee a simple and quick credit decision for entrepreneurs. A machine learning game when further scaling the business.

Van Eeghen

Case

Van Eeghen is the oldest family company in Holland, dedicated to the transport, production, purchasing and distribution of food ingredients. Enjins builds data science solutions to help Van Eeghen become a data driven company.

SnappCar

Case

SnappCar is well on its way to become the leading peer-to-peer car sharing community in Europe. In doing so, machine learning is crucial for their success.

Goboony

Case

Goboony is the fastest growing European sharing platform for campers. Enjins developed their data science infrastructure. Enabling lightning fast insights into the supply and demand of the Goboony platform.

Wonderkind

Case

Machine learning is rapidly revolutionizing different sectors, including human resources. We developed the fully automated Wonderkind Predictive Learning Engine, enabling Dynamic Pricing for Wonderkind ‘s campaigns.

Finqle

Case

Finqle offers financial factoring solutions for SMEs. Enjins helps Finqle to start with predictive flagging to early detect fraud and anomalies in payments by using machine learning.

DGTL

Case

A music event’s success not only hinges on quality music and good vibes, but also on high attendance. By building a ticket sale forecasting engine, we offer DGTL an extra edge in the ever-expanding festival market.
1 2

Get in touch

Curious to find out what machine learning can do for you?

Don’t hesitate to fill out the contact form and get in touch

 

Contact Go to Careers

Enjins logo
Close

Contact

De Entree 234
1101 EE Amsterdam
KvK: 71755101

We would like to hear from you

Contact