Machine Learning Consulting Services

We take the security and privacy of your business very seriously. To ensure the privacy and security of your business data, we take these measures, such as data access control, data encryption, secure data storage, and sign NDA. As we sign an NDA for your machine learning project development, we assure to provide an optimum level of security to all projects whether it’s small or big projects.

As a reliable machine learning company in Canada, first of all, we clearly define your project-specific objectives that are aligned with your business goals. Further, we create a detailed project plan that includes your project’s scope, timeline, and resources. By communicating regularly with clients, we discuss project updates and progress to ensure that machine-learning solutions with their business need at each stage of development.

The timeline to complete a machine learning project cannot be determined or certain. There are multiple factors that influence the timeline of machine learning project development. Those core factors are data collection, preparation, feature engineering, model selection, model training, model optimization, deployment, and maintenance, team expertise, and model complexity. It is difficult to provide you with an exact timeline without being specifically aware of ML project requirements. If you are looking to know the timeline for your machine learning project, connect with our machine learning consultant.

We know the importance of the accuracy and reliability of machine learning models as both these factors play important roles to solve real-world problems. To ensure the machine learning models for your solution are perfect, we follow these best practices and techniques, such as data quality, data preprocessing, feature selection, model selection, hyperparameter tuning, cross-validation, and monitoring. This way, we make sure that the trained machine-learning models work perfectly fine for your solutions.

There are multiple costs that are associated with ML consulting. The cost related to ML consulting services includes consulting fees, data acquisition and preparation costs, infrastructure costs, model training and development costs, and regulatory and compliance costs. The cost is calculated based on the different pricing models you opt for. For example, there are two main pricing models, such as hourly rates and fixed pricing.