Our track record
Triodos Bank is one of the most sustainable banks in the world. For their business customers, Triodos aims to create new B2B segments to better serve their customers and increase personalisation. Enjins helps Triodos to make this data driven move.
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.
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.
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.
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.
Vlucht-vertraagd.nl helps airline passengers file compensation claims with their know-how & legal experts. Enjins adds up to this process by partial automation of deciding whether claims are viable with a predictive model.
Data science is healthcare’s next big thing. QuoMD is on the forefront of this development by objectifying diagnostics with AI. Enjins does their part by designing and setting up their scalable, future-proof data science infrastructure.
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.