Run and manage AI healthcare applications on any infrastructure

Speed up AI innovation where it's most needed. Manage and control your AI workflows, resources and teams from one interface on any infrastructure.

Save on significant cloud costs. On-premises, hybrid, and multi-cloud. Governance controls and monitoring.

Working with the Netherlands Cancer Institute, Ellogon.AI has developed a faster and more efficient method of determining whether a cancer patient may benefit from immunotherapy. The tool used for this, EIDOS, is based on big data and artificial intelligence (AI) and runs on the UbiOps solution.

Improving patient diagnoses with UbiOps at Ellogon.AI

Enabling AI-driven Solutions for Healthcare

Save 80% development and maintenance time to run AI

Use large volumes of complex medical data in real-time with Generative AI, Large Language Models, and Computer Vision without having to worry about unmanageable IT and DevOps engineering or unexpectedly high cloud costs.

Deploy your GenAI and Computer Vision virtually anywhere

Choose your own combination of on-premises and/or cloud computing resources that best suit your regulatory and processing needs without disrupting existing infrastructures.

Use automatically generated APIs to easily integrate with electronic health records, clinical databases, and other healthcare applications.

Standardized and seamless ML workflows

Optimize machine learning for medical analysis by creating seamless AI/ML pipelines without DevOps effort; customize GPU or CPU compute, manage API-based data flows, and manage version control at the deployment or pipeline level.

Guarantee security and data privacy

Maintain control over your data with robust security measures, including data encryption, access controls, and audit trails, to safeguard sensitive healthcare information and meet regulatory standards with an ISO27001 certified, NEN7510 certified and GDPR compliant service.

The fastest route to compliant AI on any infrastructure

Save on compute costs

UbiOps offers orchestration capabilities that offer fully serverless training and inferencing on GPU and CPU, scaling to and from zero instances, on any infrastructure. Saving teams a lot of cost to run and manage these models.

Faster time-to-value

UbiOps helps to run AI models quickly and effectively on any infrastructure, saving months of development time.

UbiOps runs GenAI, data science models, data processing tasks and automations.

Prevent vendor lock-in

UbiOps offers one central interface to deploy workloads, whether you are working on-premises, in a private cloud or hybrid environment. You decide where data resides and compute happens.

Reducing overhead to manage AI

UbiOps is rated highly for its usability, allowing teams to train and operationalize their AI and data science models, without having to develop and maintain underlying infrastructure. 

Save on significant cloud costs. Scale with use. On-prem, hybrid, and multi-cloud. Governance controls and monitoring.