UbiOps has its roots in machine learning and data science. Experiencing first-hand how challenging it can be to turn an algorithm into a scalable application we decided to start building tools to make our lives easier: Deployment, serving and lifecycle management in a single powerful, easy-to-use environment.
Our story and mission
Projects, partners and integrations
Us in 2018: Developing data science applications
In the first years of our company we developed data science and machine learning algorithms for predictive maintenance. We offered these as a hosted service to our customers.
The challenge: how to run models as a service?
As our customer base grew, we needed an easy and reproducible way to develop these solutions without drowning ourselves in DevOps work and IT maintenance. Therefore we started exploring an architecture that could help us with easily reproducing the task of deploying and serving our analytics and connecting it to the data sources and applications we were shipping.
The plan
The plan seemed easy. We started out with containerizing our code and running this as a service in the cloud.
Reality
However, reality showed it was not that simple, because we had to cope with many different requirements, dependencies and technologies to cover the entire process without running into maintenance troubles along the line.
What is the issue?
That’s why we created UbiOps.
To enable getting analytics from the lab to the field.
Meet our founders
Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean. A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
Yanick is a CEO and Co-founder of UbiOps. After building data science models he realised there's a gap between data science and bringing data science to production.
Combining an engineering background with a business mindset, Victor enjoys working as CTO with the team at UbiOps to develop a state-of-the-art MLOps solution. Enabling data science teams everywhere to deploy and serve algorithms and build smart applications.
We are looking for you. Join us!
Our company is characterized by a culture of collaboration and taking ownership. This structure encourages relationships based on mutual respect, trust, and honest feedback. We focus on the empowerment and personal growth of our employees. Because we grow hard, move fast and initiatives are embraced, you can have a great impact!
