In short

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.

What we do

Products and Services

Machine Learning Audit

Are you curious how data and AI mature your company is? Our ML Audit gives companies and venture capitalists an external review of the current maturity level and actionable advise on how to move towards using ML in your company.

Machine Learning Engine

You want to use machine learning or AI in your company, however the real challenge is to get production-ready solutions? Our ML Engine is a powerful, platform where predictive models run real-time in production. Tailor-made solutions are built to fit to your unique use case.

Machine Learning Infrastructure

You have a team of data scientists, but struggle to get their awesome models to an actual production state? We are there to help! We build a stable and future-proof infrastructure, to enable your team to put models in production. Because we believe that the combination of data science and data engineering unlocks the true value of AI and Machine Learning.

Data Science Control System

The Git of Data Science. Track changes and performance of your ML models and applications with DSCS. Enabling real-time visual insights into the performance, uptime and overall health of your ML solutions. Open the black-box of Data Science models.

Enjins Training Program

Whether you are thinking about expanding your existing team or hiring your first data analyst, scientist or engineer. We think along with you to train and/or hire the people that fit best with your future goal and organisation. Ask us for training programs, to understand the full potential of Data Science.

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.

Quin case

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.

Vluchtvertraagd case

Swishfund

“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.”

Swishfund case

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.

DGTL case

Dynamic Pricing

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.

Wonderkind case

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.

Goboony case

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.

Finqle case

careers

Want to become our next data engineer, scientist or machine learning hero?

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.

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