Enabling the power of Machine Learning for scale-ups and challengers
What do we do?
We develop automated Machine Learning (ML) applications. From dynamic pricing to recommendation engines. Our customers are fast growing scale-ups and challengers, striving to make data science and ML an important part of their products and services. With our team of data scientist and data engineers, we develop these ML engines.
Data Science Healthcare Platform
Data science is healthcare’s next big thing. Quin 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.
Predicting Airline Claims
Yource (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.
“Floris de Vreede, Data Scientist at Swishfund, about Enjins: Working side-by-side with Enjins has been a very natural experience from the start. They clearly possess the necessary knowledge.”
Predictive Sales Engine
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. Enjins developed the fully automated Wonderkind Predictive Learning Engine, enabling Dynamic Pricing for Wonderkind campaigns.
Data Science Infrastructure
Goboony is the fastest growing European sharing platform for campers. Enjins developed their data science infrastructure and is building towards Goboony’s recommendation engine to optimize supply and demand.
Getting Machine Learning Ready
Enjins helps Finqle to become AI-ready. By realizing a setup of their analytics infrastructure and connecting all relevant data sources, Finqle is ready for smarter fraud prediction and payment anomaly detection. Working towards the goal of risk reduction.
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