Products & services

Our products and services help to solve your data science challenges.

Predictive Learning Containers

Our containers are images that contain essential software and packages to run and automate data science applications. Crucial for every data science engine, greatly reducing the time to market of your ML solutions. These containers enable us to get our ML engines in production within minutes.

Ready to go images with all essential software to run and automate data science applications
Reduce the time to market of ML applications
With feedback loop, enabling continuous improvement over time
Open-sourced Docker and Kuberneters containers

Machine Learning Engine (MLE)

The MLE is our powerful predictive engine where our models run in production. The engines make predictions real-time and connects to for example your website or database. Furthermore, our engines are self-learning and optimize continuously.

Use-case driven and tailor-made platform
Fully managed platform integrated in your technology stack
With feedback loop, enabling continuous improvement over time
Containerized, independent of cloud platforms and application architectures

Data Engineering Library

With our Data Engineering Library, we decrease time to market for our ML engines. Our library has connectors to all major databases, cloud frameworks and most popular APIs. Making it easy to integrate our solution in your technology environment.

Connectors to major databases (MySQL, PostgreSQL, SQL Server, MongoDB)
Connectors to popular APIs (Adwords, Facebook, Google Cloud Storage, Mailchimp, AWS)

Data Science Control System (DSCS)

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.

Gather metrics from data pipelines, learning engines, API’s, models and final predictions
Keep track of your model performance, accuracy and overall health
Makes use of popular logging methods and services like Google Stackdriver

Enjins Training Program

You have a team of data scientists but struggle to get ML applications into production? Or you want to inspire your business and become Data Scientist/Engineer for a day. Ask us for training programs, to understand the full potential of Data Science.

Introduction to cloud architectures and containers (Docker and Kuberneters)
Creating data pipelines to get your ML application into production
Logging and monitoring of your data pipeline and machine learning model
Create your first API

Enjins Machine Learning Toolkit

Our ML toolkit is an extensive, continuously growing, toolkit of code and functionalities. Built on top of several existing open source frameworks, enabling us to deliver accurate and robust ML models.

Handling missing values
Automated feature engineering
Cost function optimization

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

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

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

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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