Leyton is an international consulting firm that helps businesses leverage financial incentives to accelerate their growth and achieve long-lasting performance.
Machine learning is a type of artificial intelligence that enables self-learning from data and then applies that learning without the need for human intervention. In actuality, there are many different types of machine learning, as well as many strategies of how to best employ them.
For example, if we attempt to implement Machine Learning algorithms into a data model, we will get certain analyses and outputs by identifying patterns in data. Implementing Machine learning algorithms in your SR&ED project could enable you to be eligible for the SR&ED tax credit.
What is the SR&ED tax credit?
The Scientific Research and Experimental Development(SR&ED) tax credit is a government incentive available to a wide range of companies in a plethora of sectors. This tax credit enables qualifying companies to obtain a deduction based on certain expenditures and costs associated with Research and Development activities.
How can you benefit?
SR&ED credits can reach a rate of 35% for Canadian Controlled Private Corporations (CCPCs) and 15% for other corporations. Provincial SR&ED tax credits are also available and rates and conditions vary by Province.
The credit is primarily used to offset Corporate Taxes, but for CCPCs, it is also reimbursable!
Examples of qualifying SR&ED activities
Development of an Image recognition framework
Development of modeling for Financial services to spot specific patterns
Development of statistical arbitrage strategies
Examples of Qualifying expenses
Canadian employee salaries for eligible SR&ED activities
Materials consumed or transformed for eligible SR&ED activities
Canadian Sub-contracting expenses for SR&ED activities
