UbiOps
UbiOps is a Dutch MLOps platform that enables data scientists and enterprises to deploy, serve, and scale AI/ML models across hybrid and multi-cloud environments. It serves regulated industries including healthcare, critical infrastructure, and public sector across Europe.
- Company typePrivate
- Founded2016
- HeadquartersThe Hague, Netherlands
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What UbiOps does
UbiOps (legally Dutch Analytics B.V.) is a Netherlands-based MLOps platform founded in 2016 and headquartered in The Hague, with an engineering office in Amsterdam (LAB42, Science Park). The platform enables data scientists and AI teams to deploy, serve, and manage machine learning models as scalable inference APIs across local, hybrid, and multi-cloud environments through a Kubernetes-abstracted orchestration engine that does not require deep DevOps expertise. The product surface covers LLMs (Llama3, Mistral, Gemma, Falcon), computer vision (YOLOv4, UNET), video, time-series, and multi-model pipelines, with on-demand GPU compute, scale-to-zero autoscaling, a drag-and-drop workflow builder, and built-in MLOps features (model catalog, versioning, monitoring, audit trails, API management).
UbiOps monetizes through three streams: a freemium SaaS platform subscription (app.ubiops.com), usage-based GPU compute, and fully managed cloud solutions. Go-to-market is dual-motion: a product-led growth funnel with self-serve sign-up for developers, complemented by enterprise field sales targeting regulated industries — healthcare, critical infrastructure, and public sector — where ISO27001, NEN7510, and GDPR compliance and EU data residency are competitive prerequisites. Named customers include Bayer Crop Science, the Dutch National Cyber Security Centre (NCSC), BAM Infra, Gradyent, Droneview, ASSET Rail, Netherlands Cancer Institute (via Ellogon.AI), Ridder, and Pheno-Inspect.
The company operates with a 21-person team, generated $3.2M ARR in 2024 (per getlatka), and is privately held by founders alongside Global Founders Capital, Royal BAM Group, ROM InWest, and Rabobank. Strategic positioning emphasizes European sovereign AI: UbiOps is an NVIDIA Inception Premier Partner and AI Accelerated Program member, integrated with AMD Instinct GPUs, and embedded in NEBUL's Sovereign-Hybrid Cloud offering. Vertical-specific modules (Healthcare, Critical Infrastructure, Public Sector, Research & Education) indicate a deliberate specialization strategy in regulated, compliance-heavy workloads where hyperscaler-agnostic orchestration and EU data residency are differentiated.
UbiOps firmographics
Firmographics- Name
- UbiOps
- Legal name
- Dutch Analytics B.V.
- Website
- https://ubiops.com
- Company type
- Private
- Founded year
- 2016
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- UbiOps is a Dutch MLOps platform that enables data scientists and enterprises to deploy, serve, and scale AI/ML models across hybrid and multi-cloud environments. It serves regulated industries including healthcare, critical infrastructure, and public sector across Europe.
- Ownership category
- akta.pro rank
UbiOps industry classification
Industry- Product category
- MLOps Platform
- NAICS
- Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Computer Systems Design and Related Services (5415)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Model Deployment, Serving & Inference Platforms (HDAAABAF)
- akta.pro secondary industries
- End-to-End MLOps & ML Platform Suites (HDAAABAA), AI Compute Cloud & GPU-as-a-Service (HDAAAAAK), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where UbiOps is headquartered
LocationHeadquarters
- HQ city
- The Hague
- HQ country
- Netherlands
- HQ region
- Europe
Offices2 records
Markets served
UbiOps business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Platform Subscription: Subscription-based access to UbiOps cloud platform with various tiers based on usage and features. Platform offers free tier alongside paid subscriptions.
- Usage-Based GPU Computing: Pay-per-use GPU compute resources for AI workloads. Customers pay for time models are active, with scale-to-zero reducing costs when not in use.
- Managed Cloud Solutions: Fully managed cloud solution where UbiOps handles infrastructure management, offered as an alternative to self-managed deployments.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free tier available for platform access |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels9 records
UbiOps product offering
Product offeringCore offering
UbiOps provides a unified MLOps platform that lets data scientists and AI teams deploy, serve, and manage machine learning and AI models as scalable inference APIs on any infrastructure (local, hybrid, or multi-cloud). The core offering includes model versioning, automated scaling with scale-to-zero, on-demand GPU compute, a drag-and-drop workflow/pipeline builder, automatic API generation, and built-in monitoring, auditing, security, and access management.
Product overview
UbiOps is an AI infrastructure platform that enables data scientists to deploy and serve machine learning models as scalable inference APIs. The offering consists of a core unified platform (UbiOps Platform) plus specialized modules: On-demand GPU for instant GPU scaling, industry-specific solutions for Healthcare, Critical Infrastructure, and Public Sector, plus Training and Research & Education add-ons. The platform's unique hybrid- and multi-cloud orchestration engine allows deployment across local, hybrid, and multi-cloud environments from a single interface, supporting LLMs, computer vision, traditional ML, and time series workloads.
Differentiator
Problem solved
Functional benefit
Brands
- UbiOps Private: On-premises deployment option for regulated industries requiring private infrastructure solutions.
- UbiOps Cloud
Products and services
- UbiOps Platform Core AI model serving and orchestration SaaS platform that enables data scientists to deploy, serve, and manage machine learning and AI models as scalable inference APIs on any infrastructure (local, hybrid, or multi-cloud). Includes model catalog, versioning, scaling algorithms, API management, resource prioritization, workflow builder, logging, monitoring, security, and access management. Targets AI/ML teams and IT organizations across regulated and unregulated industries.
- UbiOps On-demand GPU On-demand GPU compute service for instantly scaling AI and machine learning inference workloads on GPU resources, with automatic scaling, scale-to-zero, and flexible capacity and pricing. Designed for AI teams running inference workloads (LLMs, computer vision, traditional ML) that need elastic GPU capacity without managing their own infrastructure.
- UbiOps Managed Cloud Fully managed cloud deployment of the UbiOps platform in which UbiOps handles infrastructure management as an alternative to self-managed deployments. Targeted at teams that want the UbiOps orchestration layer without operating the underlying cloud environment themselves.
- UbiOps Training Structured training programs and learning resources that teach users how to deploy and manage AI workloads on the UbiOps platform.
Quantifiable outcome
- 80% reduction in AI development and maintenance time
- +4 more outcomes
Companies that use UbiOps
Customer profileNamed customers13 records
Segments6 records
Ideal customer profiles5 records
UbiOps technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration16 records
AI capability12 records
Feature6 records
UbiOps partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered core and minor.
- AMDcoreIntegration of AMD Instinct GPU accelerators into UbiOps AI orchestration platform, enabling enterprises to deploy and scale AI models using AMD GPU technology. Collaboration aims to provide 10x faster AI deployment through AMD ROCm software stack with pre-built, AMD-optimized container environments.
- NEBULcoreModern HPC solutions provider and official NVIDIA Partner for NVIDIA DGX, GPU and Supercomputing Cloud in Europe. UbiOps listed in NEBUL's starter packs and included in their core Sovereign-Hybrid Cloud offering. Strategic collaboration for European sovereign AI infrastructure.
- GMI CloudcoreStrategic partnership with US-based GMI Cloud for global cloud-based GPU computing access. Provides powerful, accessible, and reliable GPU cloud-compute solutions integrated with UbiOps orchestration platform.
- NVIDIA (AI Accelerated Program)coreUbiOps joined NVIDIA AI Accelerated program for close collaboration on GPU-accelerated computing optimization, enabling customers to quickly deploy and scale ML models.
- NVIDIA (Inception Program Premier Partner)corePremier Partner status in NVIDIA Inception virtual accelerator program - exclusive group of companies evolving through access to cutting-edge NVIDIA technology and support.
- Devence (Deloitte)minorDeloitte's Devence provides deep dive assessments on data privacy, data security, and scalability to fast-growing tech companies. Supporting UbiOps in achieving growth ambitions with information security and privacy assessments.
Scale indicators9 records
Recent moves6 records
Expansion highlights7 records
UbiOps competitors and assessment
Company assessmentDirect peers
- Seldon: UK-based MLOps platform providing model deployment, serving, and orchestration on Kubernetes. Most direct comparable to UbiOps, serving similar data scientist and ML engineering personas with deployment and monitoring tooling.
- BentoML: Open-source model serving framework for building and deploying ML inference APIs. Targets similar developer/data scientist personas with framework-agnostic model serving on cloud or on-prem infrastructure.
- Domino Data Lab: Enterprise MLOps platform offering model development, deployment, and governance on hybrid/multi-cloud. Closely comparable in target customer (enterprise data science teams) and hybrid deployment focus.
- Valohai: Finnish MLOps platform focused on reproducible model training, deployment, and orchestration for enterprise. Comparable on hybrid deployment, regulated industry focus, and European market positioning.
- Anyscale: AI compute platform built on Ray for scalable model serving and distributed ML workloads. Overlaps with UbiOps' GPU scaling and inference serving capabilities for production AI.
Broad incumbents
- DataRobot: Enterprise AI platform offering model building, deployment, monitoring, and governance as a broader suite. Larger, broader offering that overlaps with UbiOps on MLOps/deployment for enterprise customers.
- AWS SageMaker: Hyperscaler ML platform with end-to-end model training, deployment, and serving. Most significant incumbent in the MLOps space; UbiOps differentiates through hybrid/multi-cloud abstraction that SageMaker cannot match within a single customer's estate.
- Google Vertex AI: Hyperscaler AI platform providing model training, deployment, and MLOps. Competes with UbiOps for enterprise AI workloads; UbiOps differentiates via vendor-neutral, EU-sovereign deployment.
Emerging players
- Hugging Face Inference Endpoints: Managed model serving offering from Hugging Face, focused on LLM and transformer model deployment. Overlaps with UbiOps' GenAI/LLM deployment capabilities for enterprise customers.
- Weights & Biases: ML experiment tracking and model management platform that has expanded into model serving and MLOps. Adjacent to UbiOps with overlap on model lifecycle and deployment for ML teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
UbiOps social profiles
Digital presenceUbiOps compliance and trust
Trust signalCompliance3 records
UbiOps financial estimates
Financial estimateRevenue estimate
Valuation estimate
UbiOps leadership team
Management profileNumber of profiles
Profiles2 records
UbiOps funding detail
Funding detailFunding overview
Funding rounds3 records
Investors3 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
UbiOps M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about UbiOps
What does UbiOps do?
UbiOps provides a unified MLOps platform that lets data scientists and AI teams deploy, serve, and manage machine learning and AI models as scalable inference APIs on any infrastructure (local, hybrid, or multi-cloud). The core offering includes model versioning, automated scaling with scale-to-zero, on-demand GPU compute, a drag-and-drop workflow/pipeline builder, automatic API generation, and built-in monitoring, auditing, security, and access management.
Is UbiOps a public or private company?
UbiOps is a private company. It is classified as venture growth investor backed and is currently operating.
When was UbiOps founded?
UbiOps was founded in 2016. It employs 11 to 50 people.
Where is UbiOps based?
UbiOps is headquartered in The Hague, Netherlands, in the Europe region.
How does UbiOps make money?
Three revenue lines are on record. SaaS Platform Subscription is the primary driver. The others are usage-Based GPU Computing and managed Cloud Solutions.
Who are UbiOps's main competitors?
Direct peers on record are Seldon, BentoML, Domino Data Lab, Valohai and Anyscale. Broad incumbents are DataRobot, AWS SageMaker and Google Vertex AI. Emerging players are Hugging Face Inference Endpoints and Weights & Biases.
Does UbiOps have an API?
Yes. UbiOps provides a Python client library and CLI for deploying, managing, and scaling AI models. The API allows data scientists to programmatically create deployments, manage model versions, trigger training runs, and monitor workloads. Accessible via the UI, client library, or CLI, suitable for every type of data scientist without needing in-depth engineering knowledge. API token-based authentication with service users supported. Developer documentation is at ubiops.com/docs.
What industry is UbiOps in?
UbiOps's product category is MLOps Platform. Its primary akta.pro industry code is HDAAABAF, Model Deployment, Serving & Inference Platforms, with a secondary code of HDAAABAA, End-to-End MLOps & ML Platform Suites. Its NAICS code is 513210 and its SIC code is 7372.