From data science
to production
in one day.
UbiOps is the hosting layer for your data science and AI code. We enable data scientists and engineers to bring their code live today. Scalable, robust and secure.
Features of UbiOps
Host & run any script
Deploy in minutes
API, CLI & Client Libraries
Integrate with your existing process
Monitoring
Receive critical insights
Scale automatically
Unlimited processing power at your fingertips
Integrate input and output
Github, S3, BigQuery, Kinesis, MySQL ...
SaaS and On Premises
The choice is yours
Managing a team?
Value & Efficiency
You need to reduce your time to market in creating data-driven products.
UbiOps makes sure that you don’t have to invest heavily in DevOps and IT infrastructure before you can get value out of your data science efforts.
Speed & Scale
Your data scientists and engineers are slowed down because they need to manage their own deployments, serving infrastructure, and monitoring setup.
UbiOps offers you an all-in-one production-grade serving infrastructure which can scale with your needs, now and in the future.
Independent & Secure
Your IT strategy requires that you can run models and data in a secure and portable way.
UbiOps enables you to run models and process data wherever you need. Run as SaaS, On-Premise, Multi-cloud or Hybrid cloud.
“Using UbiOps, we manage to reduce our costs by 85%”
Mart Folkerts
Head asset management, ASSET Rail
“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.”
“Together we continue to push the limits of our AI & analytics pipelines”
Robert Vrancken
CTO at Gradyent
“We’re proud as Gradyent to partner closely with Dutch Analytics as lead user of their UbiOps platform – together we continue to push the limits of our AI & analytics pipelines that run real-time Digital Twins of heat networks, which we build at Gradyent.”‘
“With UbiOps we are able to fasten the time to market of our models with 50%”
Peter Visser
IM Enterprise Architect at BAM
“Building such an infrastructure ourselves in our own Cloud would cost us considerably more in terms of money and time.”