Create production-grade data-driven applications. Without sleepless nights.
UbiOps offers you a feature-rich deployment and serving layer for your data science code, models and scripts.
Leverage the power of Docker and Kubernetes,
without the hassle.
SAVE TIME
Do you know your team can save weeks on deploying a data science application?
It can be a hassle to set up the right infrastructure, manage servers, deploy code manually and maintain it. Especially with the huge amount of different tools available for filling in parts of this puzzle.
For many teams, this is a long journey with a steep learning curve. With the risk of running out of budget and time.
Risk free
How do I control the deployment process and make it fail-safe?
Data science applications can be complex, and their quality depends on both code and data. There are multiple intermediate steps to take before getting your application into production.
You want to make use of the trusted software deployment processes you know. You want to monitor and stay in control. And you want a serving infrastructure that is robust, transparent and fail-safe.
easy integrations
How do I integrate my data science application with other parts of my infrastructure?
Data science applications need to become part of a larger structure. They need to connect to data sources, dashboards, monitoring tools and other parts of your stack. Integrating with various tools and frameworks can become complex. How do you stay in charge of your architecture?
scale up
How do I run my data science code, and scale it up?
Data science involves exploration, experimentation and execution. But once developed, you want to run your code. How it will perform on real data? Is it made to scale?
Technologies like Docker and Kubernetes make it easy for you to do so, but they can be difficult to tailor to your needs. You don’t want to lose valuable time you could have spent on your next project.
Stay secured
How to secure my data and IP?
Data and source code security is of essence to every organization that invests in data-driven applications. How do you make sure with a growing number of data-applications that your data and IP will be safe?
All that and more
UbiOps offers you all the functionality for a perfect serving environment.
Model deployment & serving
Bring your code live and let it process data. You are in charge of your code and dependencies.
Integrate with your stack
UbiOps is a layer that fits right in with other tools and services in your stack.
Connect data & construct data flows
Applications often consist of multiple data processing steps. Easily construct data flows and connect to data sources and sinks for input and output.
Governance & Security
The right tools to keep track of what’s happening. Use the latest security features and permission management tools.
UbiOps helps you to deploy, monitor and maintain your data science code in production.
“Examples provided there are easy to follow and very practical. With this documentation, it is possible to use UbiOps without getting any information up front.”
Stephanie Luik, Data Engineer at BAM
“Using UbiOps, our team is able to orchestrate all processing steps and data flows seamlessly so we could start using our models while minimizing DevOps costs.”
Hervé Huisman, Founder & CEO at Gradyent
“By collaborating with UbiOps we can efficiently serve our machine learning models on their platform. Their platform allows us to reach a larger audience in a very efficient way. ”
Joris Mollinga, Co-founder at DuckDuckGoose
“With UbiOps we managed to significantly reduce the time and efforts needed for deploying and managing our AI models for detecting failures of our switch heating installations”
Cees-Jan Mas | Projectmanager Vernieuwing at ProRail
“Building such an infrastructure ourselves in our own Cloud would cost us considerably more in terms of money and time. With UbiOps we are able to fasten the time to market of our models with 50%”
Peter Visser, IM Enterprise Architect at BAM
“UbiOps helps us to deploy our product to a production environment in a scalable but cost-effective manner. Their platform works like a charm and is a joy to work with for any data scientist ”
Joris Mollinga, Co-founder at DuckDuckGoose
“We can quickly conduct pilots, and if successful, deploy it in production. We use UbiOps for different types of scripts: data cleaning/reshaping, several regression models and one neural network. ”
Mart Folkerts, Head asset management at ASSET Rail
“Using UbiOps, we manage to reduce our costs by 85%. We don’t have to worry about the set up, nor the continuous maintenance of our models and pipelines, even when things get more complex”
Mart Folkerts, Head asset management at ASSET Rail
“UbiOps enables us to develop, deploy and operate any type of data science code, without having to worry about the IT infrastructure. Even when we continue growing in size and amount of data science applications.”
Pieter van der Mijle, Data Scientist at BAM Energy Systems
“We have a critical infrastructure using sensitive data from smart meters.
Consequently, our standards in terms of reliability and security are very high. UbiOps meets and even exceeds these standards. ”
Ivo Fugers, AI Lead at Gradyent
“What I mostly appreciate are the fast response times and user-friendly UI. Have a new database, schema or storage platform? Just add a connector to the pipelines. Want to conduct live A/B tests? Just add another model to the existing pipeline, and run it without compromising the existing infrastructure. ”
Enrique Gutierrez, Data scientist at ASSET Rail