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AI Insights
Gold Coast City, Australia
A
1-10 Employees
2019
Key takeaway
The company offers comprehensive AI solution design services, including MLOps, which is essential for transitioning machine learning projects to production. They emphasize the importance of operational management and ethical standards in AI development, ensuring that projects not only become operational but also evolve effectively over time.
Reference
Core business
AI Consulting Services for Responsible AI • AI Insights
AI consulting services to Executive and board level on application of responsible AI and AI strategy and ethics, both to create value.
Katonic.ai
Sydney, Australia
A
11-50 Employees
2020
Key takeaway
The Katonic MLOps Platform is recognized as a leading solution in the APAC region, enabling users to build and deploy enterprise-grade AI applications rapidly and without coding. It offers a comprehensive environment for managing data science needs, operationalizing machine learning models, and enhancing productivity through Generative AI.
Reference
Core business
Katonic Generative AI Platform | Award winning MLOps platform
A no-code Generative AI platform which lets you fully harness the power of ChatGPT & other powerful Large Language Models (LLMs) for your business. Build, train and deploy custom, powerful AI Chatbots and AI Applications within minutes and a few easy clicks.
VROC AI for Engineers
East Perth, Australia
A
11-50 Employees
2016
Key takeaway
VROC emphasizes the importance of MLOps for successfully scaling machine learning, highlighting their commitment to automating model deployment and productionization through their end-to-end Auto AI Platform, OPUS. This approach enables companies to optimize AI and machine learning models efficiently, ultimately enhancing asset management and decision-making processes.
Reference
Service
MLOps - Automated Model Deployment and Productionization
Optimize AI and Machine Learning model production with VROC's end-to-end Auto AI Platform, OPUS. Manage 1000's of models simultaneously.
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DAIMLINC
Sydney, Australia
A
1-10 Employees
2022
Key takeaway
The company specializes in providing AI and ML services, with a strong focus on MLOps, which includes automating ML workflows, managing data processing and model deployment pipelines, and ensuring effective model monitoring. Their team, composed of experienced consultants, is dedicated to helping clients navigate the complexities of AI and ML to achieve long-term success.
Reference
Service
AI & ML Services - DAIMLINC
AI & ML ServicesSee how we can help you along various stages of your AI & ML journey. Get a ConsultationMLOps ML workflow automation Data processing pipelines Model training pipelines Inference pipelines Model deployment pipelines Feature stores Model monitoring AI & ML Strategy Review current business strategy Identify issues, goals and requirements that can be
MusoftTech
Melbourne, Australia
A
1-10 Employees
2021
Key takeaway
The company emphasizes its expertise in MLOps, highlighting its approach for efficient and rapid deployment of machine learning projects. This focus on MLOps, alongside their capabilities in data analysis and artificial intelligence, positions them to help organizations extract valuable insights and make informed decisions.
Reference
Core business
It's all about Data, IoT and AI
Its all about Data, IoT and AI
Max Kelsen
Brisbane City, Australia
A
11-50 Employees
2015
Key takeaway
Max Kelsen specializes in delivering high-impact, production-ready Machine Learning solutions that transform enterprises, focusing on scalable platforms and innovative team structures. Their expertise in MLOps enables organizations to effectively implement and manage machine learning initiatives, driving significant value through automation and advanced technologies.
Reference
Core business
Home | Max Kelsen
Our award winning team of experts in machine learning & quantum computing provide innovative solutions & research to deliver competitive advantage for clients.
Matrix AI
Sydney, Australia
A
1-10 Employees
2014
Key takeaway
Matrix AI is a Sydney-based company that specializes in end-to-end machine learning application development services, making it well-equipped to support MLOps initiatives. Their expertise in deploying machine-learning infrastructure at scale and delivering full-stack software solutions can significantly enhance automation and efficiency in business processes.
Reference
Core business
Matrix AI
Matrix AI is a Sydney based company that provides end to end machine learning application development services. We deliver full stack software solutions to automate your business processes.
MLR Project Management & Consultancy
Sydney, Australia
A
1-10 Employees
2019
Key takeaway
The company, MLR Project Management, specializes in comprehensive project scheduling services, which includes schedule risk analysis and earned-value management, ensuring efficient task execution and high accuracy in project outcomes. With over 15 years of experience, the owner, Marty Fuentes, emphasizes tailored results that align with client needs.
Reference
Product
Software | MLR Project Management & Consultancy
BrewAI
Sydney, Australia
A
51-100 Employees
2020
Key takeaway
BrewAI is revolutionizing AI adoption for businesses and organizations by providing an accessible, no-code deep learning automl product that enables users to build optimized neural networks and predictive engines quickly, focusing on business outcomes. With features that eliminate the need for data pre-processing and enhance model explainability, BrewAI empowers users to implement machine learning models efficiently and responsibly.
Reference
Core business
Commercial Grade Deep Learning Tooling - BrewAI
Orbit3 Consultancy
Sydney, Australia
A
1-10 Employees
2019
Key takeaway
The company emphasizes its expertise in evaluating technology stacks and workloads, which is crucial for developing effective MLOps solutions. Their approach includes designing and implementing robust frameworks that can enhance operational efficiency in machine learning workflows.
Reference
Service
Cloud DevOps
Technologies which have been searched by others and may be interesting for you:
The MLOps industry in Australia is growing rapidly, driven by advancements in artificial intelligence and machine learning. Key considerations for interested individuals include understanding the regulatory landscape, which is influenced by data privacy laws such as the Australian Privacy Principles. Companies must navigate compliance issues while leveraging data responsibly. The challenge of integrating machine learning models into existing workflows is significant, requiring a robust infrastructure and skilled personnel. Opportunities abound in various sectors, including healthcare, finance, and agriculture, where MLOps can enhance decision-making processes and operational efficiency. The competitive landscape in Australia features both established tech firms and innovative startups, highlighting the importance of staying informed about industry trends and emerging technologies. Collaboration between academia and industry is also crucial, as it fosters research and development that drives innovation. Environmental concerns are increasingly relevant, with a push towards sustainable practices in data centers and energy-efficient algorithms. Lastly, global market relevance cannot be overlooked, as Australian companies often collaborate with international partners, providing access to broader markets and expertise. Understanding these dynamics is essential for anyone looking to engage with the MLOps industry in Australia effectively.
Some interesting numbers and facts about your company results for MLOps
Country with most fitting companies | Australia |
Amount of fitting manufacturers | 165 |
Amount of suitable service providers | 171 |
Average amount of employees | 1-10 |
Oldest suiting company | 2014 |
Youngest suiting company | 2022 |
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 Katonic.ai, DAIMLINC, MusoftTech
Which industries are mostly working on MLOps?
The most represented industries which are working in MLOps are IT, Software and Services, Other, Consulting, Marketing Services, Mining
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.