The Brain

Canada's #1 Low-Code, No-Code MLOps Platform

The Brain Behind Braintoy

Discover the game-changing solution embraced by organizations worldwide for simplifying the deployment and management of machine learning models. With mlOS, you can harness the power of AI without extensive coding knowledge or expertise, making it accessible to both technical and non-technical users.

Deployment Made Easy

Experience the revolutionary mlOS platform, equipped with an intuitive visual interface and an extensive library of pre-built components. Seamlessly connect data sources, preprocess and clean data, select algorithms, and fine-tune models effortlessly, all without writing a single line of code. Whether you’re a beginner or an expert, mlOS empowers you to build and customize models according to your specific requirements.

Seamless Integration and Collaboration

Unlock the potential of your models with mlOS’s seamless integration capabilities. Connect effortlessly to popular data platforms, cloud services, and APIs, leveraging existing resources and workflows. Collaborate with your team by sharing models and insights, accelerating decision-making processes and fostering a culture of innovation.

Real-time Monitoring and Performance Analytics

Gain valuable insights into your model’s effectiveness and optimize its performance with mlOS’s real-time monitoring and performance analytics. Track metrics, identify opportunities for improvement, and make data-driven decisions to enhance your models’ outcomes. With a comprehensive governance framework and automated documentation, ensure that your solutions are explainable, transparent, reproducible, and free from biases.

Enterprise-Grade Security Measures

Rest easy knowing that your data and models are protected with mlOS’s enterprise-grade security measures. Benefit from robust access controls, encryption, and compliance features, guaranteeing the security of your sensitive information.

Unlock the Power of AI for Your Organization

Embrace the world’s best low-code, no-code MLOps platform and empower your teams to rapidly develop, deploy, and manage machine learning models. By revolutionizing the way you leverage the potential of AI, mlOS simplifies your MLOps workflows, maximizes efficiency, and accelerates business outcomes. Join the mlOS community today and drive innovation within your organization.

What Makes MLOS Different?

Universal data independent ML pipe for any data type

Tabular, time series, vision, text, or 3D

Intuitive OS-style Interface

Easy to use with low learning curve compared to any other platform.

Low Code/No Code

From data cleaning to model development, absolutely no coding required. But expert coders enjoy complete control.

Governance Workflow

Break the blackbox open with auto documentation, explainability, transparency, reproducibility, and AI governance framework

Modeling at Scale

Single user can develop, deploy, and manage thousands of models. Users can share and re-use codes, algorithms, recipes and collaborate on projects.

Modular Development

Ingest custom code, modify existing code, edit recipes at each step of the AI development life cycle; All underlying codes are auto generated, customizable and exportable

Proudly developed in Alberta, Canada

MlOS is the only ML platform with built-in MLOps that handles any data type in the same pipe. It can be deployed anywhere, easy to use by both coders and non-coders, and comes with automated model governance. mlOS is designed for domain experts, citizen developers, and advanced data scientists.

Who is MLOS For?

AI for all – building capacity for the future

Supply Chain Professionals

Sales & Marketing Professionals

Analysts

Engineers

Scientists

Data Gurus

Visual ML

Data to dashboards in a matter of clicks.

Auto ML

Sit back and autopilot your model or application.

Available in 4 modes:

Expert ML

Build custom solutions or build from scratch.

Youth ML

Ethical and secure to protect our youth and their information.

Deploy anywhere:

Private or public cloud

Hybrid

On-prem

Edge

Our Clients Speak for us

"mlOS is such a user-friendly platform really anybody can use it and build models. We liked that Braintoy was a local organization that had a platform (mlOS) that our students could use and experiment with. Because they are invested in building the local talent pipeline, we knew they would be a great partner to help make machine learning accessible to people who were embarking on career transitions."

Lora Bucsis

Director, Product and Learner Success (PALS)

"I would say our process, before Braintoy, was somewhere between inefficient and cumbersome. It was hurting velocity. The mlOS platform has helped our clients create a less cumbersome way of generating a lead and reducing the friction in that process by making it easier for potential customers to get a ballpark estimate on insurance by only entering a few variables. This also decreases the client acquisition costs for brokers, which tend to be some of the highest of all industries."

Philip Ciunkiewicz

Trufla, Senior Data Scientist

"Braintoy helped us bootstrap our AI lab in a very short time where we were able to quickly develop, test and deploy AI driven features in a record time for all of our clients"

Wassim Salib

Trufla, CTO

"The real value, in my opinion, is that we were able to focus on the data science part and make the algorithm that’s going to produce a good answer. We could focus on that because the mlOS software productionalized or built all of the pipelines for us."

Filipe Lucini

Data Scientist, MEG Energy

"My experience interning with Braintoy has been amazing. The entire team is extremely helpful and always gave me time whenever I approached them. They patiently explained AI concepts and directed me towards some good resources. This environment was perfect to help me grow and learn about this field. The team is extremely good at making machine learning models tailored to solve specific business problems and this made working with them a rare and wonderful opportunity."

Gurnoor Bhangu

"Braintoy's founders are truly experts in the fields of machine learning and data science. I found their on-hands workshop to be easy to follow and a great way to learn about AI while building a ML model."

Adam Singfield

"mlOS has empowered our machine learning capabilities."

Mark Andreas

Engineer and Digital Lead, MEG Energy

Frequently Asked Questions

What is mlOS and how does it work?

mlOS is a machine learning operating system that serves as a platform for creating, managing, and monitoring machine learning and AI models. It provides a uniform and consistent way to work with various types of data, including tabular, text, and vision.

The system eliminates redundancies and streamlines the model creation pipeline, making it easier for organizations to build, manage, and monitor models at scale. With mlOS, users can customize and create tailored solutions that are accessible, simple, and easy to use.

How does mlOS help organizations in machine learning operations?

mlOS serves as a highly efficient model factory, enabling organizations to streamline their machine learning operations. It simplifies the process of building new solutions and integrating machine learning into legacy applications.

By providing a unified platform and eliminating redundancies, mlOS enables organizations to create, manage, and monitor models quickly and efficiently. It helps in achieving scalability and consistency in machine learning operations, leading to improved productivity and reduced time-to-market for AI solutions.

What are the key benefits of using mlOS?

mlOS offers several key benefits to organizations.

Firstly, it provides a consistent and unified approach to working with machine learning models, regardless of the type of data (tabular, text, vision). This ensures that organizations can efficiently manage and monitor models across different domains.

Secondly, mlOS eliminates redundancies, reducing the time and effort required for model creation and deployment. It simplifies the machine learning operations pipeline, enabling organizations to scale their AI initiatives effectively.

Additionally, mlOS supports customization, allowing organizations to create tailored solutions that meet their specific needs, making it accessible and easy to use for users across different skill levels.

What is an MLOPs platform?

An MLOPs platform is a tool that simplifies and automates the process of deploying and managing machine learning models in production. It bridges the gap between data science teams and operations teams, making it easier to scale, monitor, and maintain machine learning models in real-world applications.

What makes mlOS low-code, no-code MLOPs platform different from traditional MLOPs solutions?

mlOS is designed for users with little to no coding experience. It allows data scientists, engineers, and business analysts to deploy and manage machine learning models without writing extensive code, enabling faster and more accessible deployment. Experienced coders have the freedom to customize or write code for custom solutions.

What types of machine learning models does mlOS support?

mlOS supports a wide range of machine learning models, including classification, regression, clustering, and more. It is also adaptable to deep learning models and ensemble methods.

How easy is it to integrate our existing machine-learning models with your platform?

mlOS integrates into your existing development environment in the cloud or on-prem seamlessly. Integrating existing models with mlOS is also straightforward. We provide intuitive interfaces to upload models in popular formats like TensorFlow, PyTorch, scikit-learn, etc., making it seamless for you to deploy your models quickly.

Can I automate the deployment process using your platform?

Absolutely! Our platform is designed to automate the entire model deployment process, from pre-processing data to deploying the model in production. This automation saves time and reduces the chance of human error.

Does your platform offer scalability for handling high volumes of requests?

Yes, mlOSis built with scalability in mind. It can efficiently handle high volumes of requests, ensuring your machine learning models perform well even under heavy loads.

How does your platform handle model versioning and updates?

We offer built-in model versioning, allowing you to keep track of changes made to your models over time. Updating models is easy; you can retrain the model offline and deploy the new version with a simple click. We also offer integrations into code repositories like GitHub, Azure DevOps, and Gitlab.

Can I monitor the performance of deployed models using your platform?

Absolutely! mlOS provides real-time monitoring of model performance, giving you insights into model accuracy, latency, and other metrics, so you can make informed decisions.

What security measures are in place to protect our machine-learning models and data?

We take security seriously. Our platform implements robust security measures, including data encryption, user authentication, and access controls, to protect your models and data.

What kind of support do you offer if I encounter issues with the platform?

We offer dedicated customer support to assist you with any platform-related issues or questions. Our support team is available via email, chat, or phone to ensure a smooth experience for all users.

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