Our vision

Julia will allow us to fully harness the power of computers and data. It will bring unseen innovations and change what is conceivable.

We at Jolin.io will actively drive this path forward and also leverage it for the common good.

Our mission

We are making Julia the industry standard for modern data science technology.

Optimizing performance saves costs and valuable energy. Being an economy for the common good we combine excellent business with the care for the world. Dedicating one day a week to the Sustainable Development Goals is our commitment to the future.

About us

Expertise

We are your strong partner. With 10 years experience in data science and data engineering, we know about both the industry and algorithms by heart.

Industries
  • neuroscience
  • automotive
  • telecommunication
  • media
  • energy
  • manufacturer & retailer
  • e-commerce
  • ...
Algorithms
  • probabilistic programming
  • mathematical optimization
  • differential equations
  • natural language processing
  • time series forecast
  • fraud/anomaly detection
  • recommender systems
  • error estimation
  • classification & regression
  • computer vision
  • big data & real time ETL pipelines
  • ...
Infrastructure
  • DevOps & MLOps
  • AWS expertise
  • Azure & Google Cloud
  • infrastructure as code
  • building datalakes
  • setting up compute infrastructure
  • Kubernetes, Hadoop, HDFS, Slurm, ...
GDPR & compliance
  • traceable data flows
  • right to be forgotten
  • consent management
  • pseudonymization
  • anonymization
  • prevention of discrimination
  • ...

Network

Since January 2020, the meetup Julia User Group Munich brings together everyone interested in Julia and its application in industry.

It is now the largest Julia meetup in Germany. Organized and sponsored by Jolin.io.

JuliaComputing

Julia Computing's mission is to develop products that bring Julia's superpowers to its customers.

The top products are JuliaHub, a platform for developing and deploying scalable Julia applications, as well as three simulation and modeling software, JuliaSim for physics, JuliaSPICE for circuits, and Pumas for pharmacy.

Invenion

Invenion is our partner for digitization in the healthcare sector.

The portfolio ranges from strategic conceptualization to operational implementation of digital projects.

Machine Learning Reply

Machine Learning Reply is a consulting company for ML solutions. We work together especially on large projects where many experts are needed.

The common good economy establishes an ethical economic model.

The well-being of people and the environment becomes the primary goal of economic activity.

MI4People is a nonprofit organization that fosters utilization of Machine Intelligence (MI) for Public Good through applied research.

We came together with a shared passion for using intelligent algorithms to strengthen the common good.

Founder

Stephan Sahm

Dear reader,

I am Stephan Sahm, a full stack data science consultant with 10 years experience in data science and 5 years in consultancy. As an outstanding Master of Cognitive Science, Master of Statistics, as well as a passionate professional programmer, I strive to bring tomorrow's data best practice into today's business.

Everywhere, there is a need to apply advanced data algorithms to improve long-term business goals. You can count on my company to translate best academic practices into production-ready processes for your industry.

Over the course of my academic and professional career, I have met some great IT experts and data scientists, and now I can proudly say that my team consists only of excellent and experienced members.

Enterprise-ready data science is much more than plain academia. With me and my team you can bring your AI and data goals into production.

Julia

Simplicity is key to software development, and this is also true for data science. Hence, I was very happy to see the new programming language Julia releasing Julia 1.0 in 2018.

I myself have been mastering the language very early on.

With Julia there is no longer the need to switch to Cython, C or C++ for achieving required performance targets. This reduces many complexities in current data science architectures, and with such simplicity comes higher performance and better maintenance.

Such major advances in data science programming naturally deserve a wider audience. In January 2020, I launched the Julia User Group Munich, by now the largest meetup on Julia in Germany.

Now it is time to make the fruits of this technology available to the industry. We look forward to supporting you with our company Jolin.io.

Open to a brief exchange?
e-mail hello@jolin.io or call/whatsapp/signal
+49 152 2406 7803