Engineering Technologies Canada Ltd.

AI / ML Consulting & Research

AI / ML Consulting & Research

Machine Learning R&D

Enabling organizations to analyze vast amounts of data, learn from it, and make informed decisions or predictions, thereby enhancing efficiency and innovation.

Research Writing & Speaking

Transform complex machine learning and artificial intelligence insights into clear, compelling narratives for research papers, presentations, and talks.

Project Management

Ensuring timely delivery, strategic alignment, and optimal resource utilization for groundbreaking outcomes in artificial intelligence and machine learning.

AI / ML Consulting & Research

Our Artificial Intelligence (AI) and Machine Learning (ML) Consulting & Research services are fundamental components for today’s technological innovation and operational efficiency, allowing organizations towards never-before-seen levels of success. Our expertise lies in creating custom AI and ML solutions that are tailored to your project’s specific needs.

Our abilities cover a wide range of needs, such as the development of Training Data Infrastructure & Tools for precise AI systems or Vulnerability Assessment & Model Hardening to protect your models from constantly evolving challenges. We explore various areas of machine learning theory that will enhance your decision-making and predictive analysis.

Typical Projects

Training Data Infrastructure & Tools

The foundation for managing, processing, and organizing large datasets is provided by machine learning training data infrastructure and tools, which make it possible to train accurate and reliable models efficiently.

Vulnerability Assessment & Model Hardening

In machine learning, vulnerability assessment and model hardening entail methodically locating and fixing possible flaws in models to strengthen their defences against intrusions and guarantee their reliable operation in complex settings.

Our Head of AI/ML Research, Angus Galloway, has published several publications on adversarial machine learning as part of PhD thesis:

Machine Learning Theory

In machine learning (ML), machine learning theory explores the mathematical foundations of algorithms, offering insights into their behaviour, efficacy, and constraints as well as directing the creation of more dependable and efficient models.

Computer Vision & Lakebed Image Analysis

In machine learning, computer vision and lakebed image analysis use sophisticated algorithms to analyze and derive valuable information from underwater imagery, supporting the study and assessment of aquatic environments.

Automatic lakebed analysis for invasive mussel and Cladophora biomass. As featured by:

Echosounder Data Error Correction

Accelerating error correction in split-beam echosounder data to monitor the status and trends of Great Lakes prey fish populations.

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