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Frontier Digital
Glasgow, United Kingdom
A
1-10 Employees
2022
Key takeaway
The company has extensive expertise in cloud computing and automation, emphasizing the integration of industry-trusted tools into DevOps processes. Their approach aligns with MLOps by focusing on delivering incremental value and continuous improvement through agile methodologies.
Reference
Service
MLOps
Winder.AI
Harrogate, United Kingdom
A
1-10 Employees
2013
Key takeaway
Winder.AI specializes in MLOps development, offering services that help businesses scale their machine learning workflows and deployments. With a focus on creating product-quality AI platforms, Winder.AI is well-equipped to support organizations in overcoming real-world challenges in AI implementation.
Reference
Service
MLOps Development - Machine Learning Operations Services
We've developed MLOps platforms for companies like Shell, Grafana, Neste, and Living Optics. MLOps helps you scale your ML workflows and deployments. Empower your data scientists with GitOps for ML!
Cloud XLR8R
London, United Kingdom
A
1-10 Employees
2019
Key takeaway
Cloud XLR8R offers MLOps consultancy that streamlines the transition of machine learning models into production through a CI/CD pipeline integrated with the ML training process. Their focus on automating ML workflows and ensuring secure, production-ready infrastructure addresses key challenges in deploying models efficiently.
Reference
Core business
Cloud XLR8R | MLOps Consultancy
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blackthorn.ai
London, United Kingdom
A
11-50 Employees
2021
Key takeaway
Blackthorn.ai specializes in Machine Learning Operations (MLOps), offering automation of ML routines to reduce manual effort and errors across various workflows and models. Their focus on end-to-end project management and measurable results ensures a commitment to delivering effective solutions in the MLOps space.
Reference
Service
Machine Learning Operations (MLOps) – blackthorn.ai
We can automate machine learning routines (MLOps) to eliminate manual toil and human mistakes working with multiple workflows and models.
Seldon
London, United Kingdom
A
1-10 Employees
2014
Key takeaway
Seldon Technologies Ltd specializes in MLOps, providing tools that enhance the deployment, monitoring, and management of machine learning models. Their platform enables faster deployment, increased efficiency, and cost reduction, making it a trusted choice for leading MLOps teams.
Reference
Core business
Seldon, MLOps for the Enterprise.
Serve, Monitor, Manage and Scale your machine learning operations with our enterprise ready MLOps tools. Get a demo or start a trial today. %
Fuzzy Labs
Manchester, United Kingdom
A
1-10 Employees
2019
Key takeaway
The company is dedicated to open-source MLOps, emphasizing its commitment to innovation and adaptability in AI solutions. With a team of experts, they create tools that empower users to harness and productionize their AI effectively.
Reference
Core business
Open Source MLOps - Fuzzy Labs
Harness the power of open source MLOps to productionise your AI. Our solutions are endlessly adaptable, tailored to your exact needs, and fully yours to own. Unleash the potential of your AI.
Equal Experts
London, United Kingdom
A
501-1000 Employees
2005
Key takeaway
The company emphasizes its expertise in MLOps, highlighting its ability to unlock the value of AI and enhance AI strategies through their Operationalising Machine Learning Playbook.
Reference
Service
MLOps | Our Services | Equal Experts
Opsmorph
London, United Kingdom
A
1-10 Employees
2020
Key takeaway
Opsmorph is a data science and cloud solutions consultancy that specializes in machine learning and its deployment in the cloud. With deep expertise in algorithm development and a focus on secure, scalable data management, they assist organizations in developing innovative applications that leverage advanced technologies.
Reference
Core business
Home | Opsmorph Website
Opsmorph Website
Bodywork ML
London, United Kingdom
A
1-10 Employees
2020
Key takeaway
The company offers a solution that streamlines MLOps by using pre-built Bodywork containers to manage end-to-end machine learning workflows. Their platform allows users to easily serve models, schedule batch jobs, and deploy complex ML pipelines directly from the terminal, significantly reducing the time and effort required for deployment.
Reference
Core business
Machine Learning Deployment
Deploy machine learning projects developed in Python, to Kubernetes. Serve models, deploy pipelines and schedule batch jobs in production, without DevOps pain. Accelerate your MLOps!
AgileRL
London, United Kingdom
A
1-10 Employees
2023
Key takeaway
AgileRL is revolutionizing machine learning through its RLOps platform, which focuses on streamlining the reinforcement learning pipeline. This approach effectively applies MLOps principles to enhance development speed and performance in building advanced AI systems.
Reference
Core business
AgileRL
Revolutionising machine learning with RLOps: MLOps for reinforcement learning. Develop faster and achieve greater performance with the best RL tools.
Technologies which have been searched by others and may be interesting for you:
When exploring the MLOps industry in the United Kingdom, several key considerations come into play. The regulatory environment is essential, as compliance with data protection laws like the General Data Protection Regulation (GDPR) is crucial for any company handling personal data. Additionally, understanding the challenges of integrating machine learning models into existing workflows and the need for continuous monitoring and maintenance is vital for successful implementation. The UK market presents significant opportunities due to its strong emphasis on innovation and research, supported by government initiatives that promote tech advancements. Environmental concerns are increasingly relevant, with a focus on energy-efficient algorithms and sustainable practices in machine learning processes. The competitive landscape is dynamic, characterized by a mix of established tech firms and agile startups, making it important to identify unique value propositions. Furthermore, the global market relevance of MLOps continues to grow, creating a demand for skilled professionals and robust solutions that can be scaled internationally. Staying informed about industry trends and emerging technologies will be beneficial for anyone looking to engage with companies in this field.
Some interesting numbers and facts about your company results for MLOps
Country with most fitting companies | United Kingdom |
Amount of fitting manufacturers | 1428 |
Amount of suitable service providers | 1402 |
Average amount of employees | 1-10 |
Oldest suiting company | 2005 |
Youngest suiting company | 2023 |
Some interesting questions that has been asked about the results you have just received for MLOps
What are related technologies to MLOps?
Based on our calculations related technologies to MLOps are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of MLOps?
Start-Ups who are working in MLOps are Frontier Digital, blackthorn.ai, AgileRL
Which industries are mostly working on MLOps?
The most represented industries which are working in MLOps are IT, Software and Services, Consulting, Other, Finance and Insurance, Human Resources
How does ensun find these MLOps Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.