List of UbiOps Customers
UbiOps
Wilhelmina van Pruisenweg 35,
Hague, 2595,
Netherlands
Hague, 2595,
Netherlands
31 70 792 00 91
Professional Services
40
$4M
Since 2010, our global team of researchers has been studying UbiOps customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased UbiOps for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using UbiOps for ML and Data Science Platforms include: BAM Infra Nederland, a Netherlands based Professional Services organisation with 19837 employees and revenues of $7.55 billion, Ellogon AI, a Netherlands based Healthcare organisation with 400 employees and revenues of $88.0 million, ASSET Rail Netherlands, a Netherlands based Transportation organisation with 330 employees and revenues of $50.0 million, Gradyent, a Netherlands based Professional Services organisation with 100 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using UbiOps, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ASSET Rail Netherlands | Transportation | 330 | $50M | Netherlands | UbiOps | UbiOps | ML and Data Science Platforms | 2021 | n/a |
In 2021, ASSET Rail Netherlands implemented UbiOps as the keystone platform for its operations centre. ASSET Rail deployed UbiOps within the ML and Data Science Platforms category to run 50+ AI and data science applications supporting rail asset monitoring and maintenance across the Dutch rail market, improving decision support, dispatching efficiency and company productivity.
The implementation centers on model serving and orchestration capabilities, with the case study indicating heavy use of image analysis workflows and time-series model pipelines to process camera imagery and IoT sensor streams. UbiOps hosts containerized deployments and orchestrates batch and streaming inference, enabling scaling of computer vision and time-series analytics for predictive maintenance and anomaly detection. Functional modules implemented include model lifecycle management, automated deployment and monitoring, and integrated data pipelines for ingestion, preprocessing and inference.
Operational governance is centralized in ASSET Rail's operations centre, consolidating model operations, version control and runbook procedures to support maintenance teams and dispatch operations across the Netherlands. Rollout focused on productionizing analytics used by operations and maintenance functions, with UbiOps providing a single platform for deployment, scaling and operational monitoring of over 50 applications. The company reports improved decision support, dispatching efficiency and company productivity as outcomes.
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BAM Infra Nederland | Professional Services | 19837 | $7.5B | Netherlands | UbiOps | UbiOps | ML and Data Science Platforms | 2022 | n/a |
In 2022, BAM Infra Nederland deployed UbiOps to operationalize GPU-accelerated computer vision models for road and public lighting inspections. The implementation uses UbiOps as the ML and Data Science Platforms layer to run large-scale image and LiDAR processing for infrastructure asset management in the Netherlands.
UbiOps was configured to host and serve the ADAPT Public Lighting model and to support an on-demand GPU pilot for seasonal workload scaling. Functional capabilities implemented include GPU-accelerated model inference, batch image and LiDAR pipeline orchestration, and model serving for inspection product generation, enabling automated processing of inspection datasets.
Operational coverage targeted infrastructure and asset management teams responsible for road and public lighting inspections across the Netherlands, with a rollout approach that moved from on-demand GPU pilot to scaled seasonal deployments. The deployment achieved roughly 4.5x faster runtimes, cutting inference time and enabling faster delivery of inspection products while supporting large-scale image and LiDAR processing.
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Ellogon AI | Healthcare | 400 | $88M | Netherlands | UbiOps | UbiOps | ML and Data Science Platforms | 2022 | n/a |
In 2022, Ellogon AI deployed UbiOps to run its EIDOS immunotherapy patient selection service. Ellogon AI uses UbiOps as its ML and Data Science Platforms layer to deliver AI based pathology image analysis as a scalable SaaS to hospitals in the Netherlands and internationally.
The implementation configures UbiOps to host model serving containers, orchestrate inference pipelines, and expose stable API endpoints for clinical integration. Functional capabilities implemented on UbiOps include model deployment, batch and real time inference orchestration, data preprocessing pipelines, and service monitoring consistent with ML and Data Science Platforms functional patterns.
UbiOps provided cloud provider independence and easy scaling, enabling Ellogon AI to move the EIDOS solution from pilot and testing into clinical implementation around 2023. The deployment operates as a SaaS delivery model for healthcare and diagnostics workflows, supporting pathology image ingestion, automated scoring, and patient selection pipelines for hospitals in the Netherlands and internationally.
Operational governance was adapted for clinical rollout with controlled model promotion, environment separation for testing and production, and monitoring and alerting for inference performance and availability. Using UbiOps accelerated Ellogon AI go to market, and the full UbiOps implementation is positioned to support ongoing clinical deployments and iterative model updates.
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Gradyent | Professional Services | 100 | $10M | Netherlands | UbiOps | UbiOps | ML and Data Science Platforms | 2019 | n/a |
In 2019 Gradyent began using UbiOps to host and run real-time digital twins for district heating grid optimization in the Netherlands, deploying UbiOps as its ML and Data Science Platforms solution to enable continuous simulations and operational control. The implementation centers on operational digital twins that run continuous model inference and simulation loops to support heating grid optimization use cases across Gradyent engagements.
Gradyent configured UbiOps to provide hosted runtime and orchestration capabilities common to ML and Data Science Platforms, including model packaging, automated execution, and runtime scaling for continuous simulation workloads. UbiOps hosts the digital twin code and manages execution environments so Gradyent can operationalize simulation pipelines and respond to near real-time data streams used for control logic and scenario testing.
In late 2022 Gradyent switched to UbiOps managed cloud solution to improve scalability and reduce operational overhead, a move that shifted infrastructure management to the vendor while preserving the UbiOps runtime and orchestration layer. The operational scope includes dozens of operational digital twins running in production across district heating projects in the Netherlands, supporting engineering and operations workflows for grid optimization.
The rollout to the managed cloud was positioned to accelerate time-to-market and lower internal operational burden, and UbiOps remains the hosted platform executing continuous simulations for Gradyent deployments. Governance focus centers on model deployment control and runtime configuration within UbiOps, ensuring reproducible simulation runs and stable operational control for district heating optimization.
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FAQ - APPS RUN THE WORLD UbiOps Coverage
UbiOps is a ML and Data Science Platforms solution from UbiOps.
Companies worldwide use UbiOps, from small firms to large enterprises across 21+ industries.
Organizations such as BAM Infra Nederland, Ellogon AI, ASSET Rail Netherlands and Gradyent are recorded users of
UbiOps for ML and Data Science Platforms.
Companies using UbiOps are most concentrated in Professional Services, Healthcare and Transportation, with adoption spanning over 21 industries.
Companies using UbiOps are most concentrated in Netherlands, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of UbiOps across Americas, EMEA, and APAC.
Companies using UbiOps range from small businesses with 0-100 employees - 25%, to mid-sized firms with 101-1,000 employees - 50%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 25%.
Customers of UbiOps include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified UbiOps customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.