Deploy, serve and orchestrate AI models on any infrastructure

The right foundation for your next AI project.

UbiOps product page (1)

Trusted by

Alexander Roth
Alexander RothDirector Engineering at Bayer Digital Crop Science
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''With UbiOps we have found a way to deliver computer vision results reliably in real-time and cope with changing workloads by scaling on-demand across GPUs rapidly.''
Ivo Fugers
Ivo FugersHead of Digital Twin at Gradyent
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''Every engineer in my team without cloud experience can learn to work with UbiOps within 30 minutes.''
Erwin Hazebroek
Erwin HazebroekHead of Data & Analytics National Cyber Security Centre NL
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''Just as UbiOps works for the NCSC it can also be tailored to the needs of a great number of different organizations with very high security standards.''
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AI model deployment, inference and orchestration

Deploy your AI models as reliable, scalable services on any infrastructure with minimal engineering and maintenance.

UbiOps is packed with orchestration and MLOps functionalities to easily run and manage your AI workloads. Including a model catalog, versioning, scaling algorithms, API management, resource prioritization, workflow builder, detailed logging, custom monitoring, security, and access management.

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All the features to take your AI solution to the next level

Production-grade AI model deployment 

UbiOps solves one of the most essential engineering challenges for AI teams: Ensuring AI solutions can move beyond a proof of concept into a running and scalable application.

MLOps: Machine Learning Operations

Out of the box functionalities to easily run and manage your AI workloads, including a model catalog, seamless deployment and rollback Including model version management, dependency management, monitoring, auditing, security, team collaboration and governance.

Run across local, cloud & hybrid-cloud environments

The UbiOps control plane provides teams independence and flexibility by abstracting multiple (cloud and local) compute environments and hardware types into one pool of compute resources to run workloads on. 

Build live, modular AI pipelines

UbiOps offers a unique workflow management system (pipelines) to allow the development and deployment of modular AI applications. Each workflow gets its own unique API and each object in a workflow is an isolated service that scales independently.

Run across local, cloud & hybrid-cloud environments

Connect multiple compute environments 

The UbiOps control plane provides teams independence and flexibility by abstracting multiple cloud and local compute environments and hardware types into one pool of compute resources to run AI models.

The UbiOps control plane takes care of workload orchestration, capacity management and dynamic automatic scaling across infrastructures.

Automated, smart scaling of workloads

Cost-effective model inferencing and training

 

UbiOps takes care of automatic scaling of your models, including scale-to-zero, traffic load balancing and API management.

Deploy LLMs and AI models as scalable inference APIs and offload long-running training jobs to powerful cloud hardware, all the while only paying for the time your models are active.

Build reliable and compliant AI applications with real-time insights & governance

Improve security and privacy

Control how data is processed, where it is processed and whether data is stored on the platform. Your data, your rules.

Robust security features

UbiOps provides robust security features such as end-to-end encryption, secure data storage, and access controls, which can help businesses comply with data privacy regulations such as GDPR.

Usage and performance metrics

Check if there are any issues with your deployments. Set alerts and notifications. 

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Build live, modular workflows

Create modular applications by re-using and combining multiple deployments in a workflow.

Multiple models, one AI application

Each workflow gets its own unique API and each object in a workflow is an isolated service that scales independently.

Live data flows, update without downtime 

Funnel data through all your deployments or bypass deployments. Embed sub-pipelines or add conditional logic to data flows.  Simply drag and drop.

Easy drag & drop interface

Import or export pipelines directly and share them with your colleagues or other users.

Add logic and operators to your flow

Use pre-built operators to help guide and modify data running through your workflows. Customize inputs for each deployment by splitting and reassembling data.

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