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MLOps World: Machine Learning in Production
Old Toronto, Canada
A
1-10 Employees
-
Key takeaway
MLOps World is an international community dedicated to enhancing the understanding and practice of deploying machine learning models into production environments. Through events and gatherings, the community focuses on best practices and strategies in MLOps, covering essential topics like version management, CI/CD, and model deployment.
Reference
Core business
Home — MLOps World
A Uniquely Interactive Experience2nd Annual MLOps World Conference on Machine Learning in Production. Join our community of over 9,000 members as we learn best practices, methods, and principles for putting ML models into production environments.Why MLOps? MLOps World will help you put machine learning models into production environments; responsibly, effectively, and efficiently. We’ll be covering topics such as Version Management CI/CD Architecture for Model Deployment Pipeline Scheduling Optimizations Feature Engineering Feature Store Design and Maintenance Effective Data/Machine Learning Strategies New Research And more!Come share your stories and join us June 14-17thCreated in collaboration with MLOps Community.
Speko Technologies
Vancouver, Canada
A
1-10 Employees
2016
Key takeaway
The AWS MLOps Framework is a comprehensive solution designed to facilitate the implementation of Machine Learning Operations, making it a key resource for organizations looking to streamline their MLOps processes.
Reference
Core business
Speko | All-In AWS Consulting - Speko Solutions LTD
Speko provides comprehensive All-In AWS Consulting services to help design, optimize, secure your cloud architecture quickly and efficiently.
CTO.ai
Vancouver, Canada
A
51-100 Employees
2017
Key takeaway
CTO.ai is focused on enhancing developer productivity through a transparent and accessible operations platform that simplifies code management and testing without the need for extensive infrastructure. By leveraging workflow intelligence and DORA Metrics, the company aims to optimize CI/CD processes, ultimately addressing the challenges of complexity that can hinder productivity in software development.
Reference
Core business
CTO.ai: Developer Control Plane, Modern CI/CD & PaaS Workflows for Developers
Make Kubernete seem like PaaS on DigitalOcean, AWS, GCP, Azure or OVHCloud & measurably improve your CI/CD velocity.
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Teraflow.ai | Making AI Work
London, Canada
A
11-50 Employees
2017
Key takeaway
The company focuses on enhancing machine learning (ML) model performance and developing advanced MLOps capabilities, which are essential for effectively adopting and scaling AI models. Their expert teams leverage specialized knowledge in ML to deploy and integrate solutions rapidly, addressing common challenges companies face in making AI work.
Reference
Core business
Making AI Work - Teraflow.ai
We Help You Adopt And Scale Your Artificial Intelligence Models! Schedule A Call (We promise it’s 95% listening to you and 5% cracking jokes) Build
Rocket Science Development
Montreal, Canada
A
1-10 Employees
-
Key takeaway
Rocket Science specializes in providing end-to-end MLOps solutions, offering expertise in machine learning strategy, development, and deployment. Their dedicated MLOps engineers support the entire ML lifecycle, from problem identification to ongoing execution, ensuring effective data analytics practices.
Reference
Core business
Home - Software Company | Rocket Science Development
Solve the Impossible Learn how AI & MLOps can empower your organization MLOps Solutions Why Rocket Science We Solve Impossible Problems Why do airplane passengers in the middle seat miss more flights? While you could try to solve this costly problem with basic assumptions, business leaders today trust data to inform their decisions — in … Continue reading "Home"
Mia
Montreal, Canada
A
1-10 Employees
2021
Key takeaway
Mia enables users to effortlessly create machine learning models without coding, making it accessible for citizen data scientists to leverage machine learning for various business applications such as sales forecasting and customer churn. The platform is currently in beta, inviting early adopters to shape its development.
Reference
Core business
mia - Machine Learning For All
Quant ONE
Old Toronto, Canada
A
1-10 Employees
2015
Key takeaway
The company specializes in building enterprise-class MLOps solutions, focusing on the end-to-end development of production-ready models that enhance operational efficiency and drive quantitative results. Their expertise in applied AI and data science enables the creation of optimized inference models across various sectors, making them well-equipped to support autonomous scale implementation of advanced neural networks.
Reference
Core business
Cloud AI Architects | Deep Learning, Neural Networks, AIOps | AWS + Azure Strategy | Quant ONE
Cloud without complexity, we design and architect implementation approaches to building Serverless at Scale for Data & AI, App Dev, and DevOps
MoogleLabs
Mississauga, Canada
A
251-500 Employees
2020
Key takeaway
MoogleLabs is a leading AI/ML development company that emphasizes the integration of new technologies and innovative practices, including MLOps, to enhance efficiencies and drive growth. Their expertise in AI, DevOps, and Data Science positions them as a key player in the evolution of modern technological solutions.
Reference
Core business
AI ML, Blockchain, Data Science,DevOps Development Company - MoogleLabs
MoogleLabs is a leading AI ML Development Company. Our engineering team is experts in AI/ML, Blockchain, DevOps, and Data Science.
MetricsDataLabs
Old Toronto, Canada
A
1-10 Employees
2018
Key takeaway
MetricsDataLabs offers end-to-end services that could be beneficial for MLOps, particularly in automation, integration, and continuous improvement. Their expertise in data management and analytics, along with professional services in technologies like Splunk, can support the operational needs of machine learning workflows.
Reference
Core business
Metrics Data Labs - Intelligent Solutions for your Data & Splunk Services
Metrics Data Labs delivers unique intelligence, control and compliance over your logs and metrics data in real-time. We specialize in Splunk services.
Deelvin Solutions Inc.
Port Coquitlam, Canada
A
11-50 Employees
-
Key takeaway
Deelvin specializes in machine learning-based software services and innovative cloud solutions, highlighting its expertise in the field and commitment to applied research.
Reference
Core business
Services,Technologies &Products are based on Machine Learning - Deelvin
Technologies which have been searched by others and may be interesting for you:
In Canada, the MLOps industry is rapidly evolving, and several key considerations are important for anyone interested in this field. First, understanding the regulatory landscape is essential; Canada has specific data privacy laws, such as PIPEDA, which govern how organizations handle personal information. These regulations can impact how MLOps solutions are developed and implemented. The competitive landscape is also significant, with a growing number of startups and established companies vying for market share, necessitating a focus on innovation and differentiation. Opportunities abound in sectors like healthcare, finance, and agriculture, where machine learning can drive efficiency and enhance decision-making. However, challenges include the need for skilled talent, as there is a shortage of professionals well-versed in MLOps practices. Environmental concerns are increasingly relevant, with a push for sustainable AI practices to minimize the carbon footprint associated with large-scale machine learning models. Furthermore, as the global market for MLOps expands, Canadian companies can leverage their expertise in AI and machine learning to compete internationally, making it crucial to stay informed about global trends and advancements. By considering these factors, individuals can better navigate the complexities of the MLOps industry in Canada.
Some interesting numbers and facts about your company results for MLOps
| Country with most fitting companies | Canada |
| Amount of fitting manufacturers | 309 |
| Amount of suitable service providers | 267 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2015 |
| Youngest suiting company | 2021 |
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 Mia
Which industries are mostly working on MLOps?
The most represented industries which are working in MLOps are IT, Software and Services, Other, Education, Consulting, Finance and Insurance
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.
