IVADO Labs Company Profile

Background

IVADO Labs is a leading provider of artificial intelligence (AI) solutions, specializing in optimizing supply chain operations across various industries. Founded in 2017 by Hélène Desmarais and Andrea Lodi, the company is headquartered in Montreal, Canada, a global hub for AI research. IVADO Labs' mission is to accelerate the transfer of AI technologies from academia to industry, fostering the development of AI-driven enterprises with global reach and impact.

Key Strategic Focus

IVADO Labs focuses on delivering customized AI solutions that integrate machine learning and operations research techniques to address complex supply chain challenges. The company collaborates closely with clients to develop bespoke AI applications, enhancing decision-making processes and operational efficiency. Their services cater to sectors such as manufacturing, aerospace, retail, transportation, logistics, and healthcare.

Financials and Funding

As of 2025, IVADO Labs has an estimated annual revenue of $18.9 million, with a workforce of approximately 130 employees. The company has been instrumental in facilitating AI adoption through its INVEST-AI program, which has supported 43 AI projects totaling $51 million in investments, including $18 million in funding provided by IVADO Labs.

Pipeline Development

IVADO Labs has successfully implemented over 50 customized AI solutions across various industries. Notable projects include:

• CargO₂ai: Developed in partnership with CargoM, Scale AI, the Port of Montreal, Termont, and MGTP, this project utilized AI to expedite the identification and processing of critical medical supplies during the COVID-19 pandemic.

• Electric Vehicle Fleet Optimization: In collaboration with SCALE AI and Cléo, a subsidiary of Hydro-Québec, IVADO Labs developed machine learning algorithms to predict usage cycles of electric school buses, aiming to optimize distribution and charging management.

Technological Platform and Innovation

IVADO Labs distinguishes itself through its proprietary AI technologies and methodologies, including:

• Machine Learning Algorithms: Developed for predictive analytics in supply chain management, enhancing demand forecasting and inventory optimization.

• Operations Research Models: Applied to optimize logistics networks, reducing costs and improving efficiency.

• Natural Language Processing (NLP): Utilized in projects like CargO₂ai to analyze unstructured data for rapid identification of critical information.

Leadership Team

• Serge Massicotte: Chief Executive Officer

With over 25 years of experience in supply chain technology, Serge has held leadership roles at JDA Software and other tech companies. He brings a wealth of knowledge in AI applications and operations research.

• Hélène Desmarais: Founder and Executive President

A prominent figure in the Canadian business community, Hélène has extensive experience leading major institutions and companies in the industrial sector.

• Andrea Lodi: Co-Founder

An internationally recognized expert in mathematical optimization, Andrea holds the Canada Excellence Research Chair in Data Science for Real-Time Decision Making at Polytechnique Montréal.

Competitor Profile

Market Insights and Dynamics

The AI-driven supply chain solutions market is experiencing significant growth, driven by the increasing need for operational efficiency and data-driven decision-making. Companies are investing heavily in AI to gain competitive advantages, leading to a dynamic and rapidly evolving industry landscape.

Competitor Analysis

Key competitors in the AI supply chain solutions sector include:

• Tata Steel: A global steel manufacturer that has integrated AI into its supply chain to enhance operational efficiency.

• QuantiTech: Provides technology solutions with a focus on AI applications in logistics and supply chain management.

• Fleetio: Offers fleet management software incorporating AI to optimize vehicle operations and maintenance.

These competitors focus on leveraging AI to improve various aspects of supply chain management, from production processes to logistics and fleet operations.

Strategic Collaborations and Partnerships

IVADO Labs has established significant partnerships to bolster its market position and innovation capacity:

• SCALE AI: As a core execution partner of Canada's AI supercluster, IVADO Labs collaborates on projects aimed at building next-generation supply chains through AI technologies.

• Academic Institutions: Partnerships with institutions like Université de Montréal, HEC Montréal, and Polytechnique Montréal provide access to a vast network of AI researchers and resources.

Operational Insights

IVADO Labs differentiates itself through:

• Customized AI Solutions: Tailoring AI applications to meet the specific needs of clients across various industries.

• Integration of Machine Learning and Operations Research: Combining these disciplines to address complex supply chain challenges effectively.

• Strong Academic Partnerships: Leveraging collaborations with leading academic institutions to stay at the forefront of AI research and application.

Strategic Opportunities and Future Directions

Looking ahead, IVADO Labs aims to:

• Expand Industry Reach: Extend AI solutions to new sectors, including healthcare and energy, to diversify its portfolio.

• Enhance AI Capabilities: Invest in research and development to advance AI technologies, particularly in predictive analytics and automation.

• Strengthen Global Presence: Establish partnerships and client relationships beyond Canada to position itself as a global leader in AI-driven supply chain solutions.

Contact Information

• Website: www.ivadolabs.com

• LinkedIn: IVADO Labs LinkedIn

• Twitter: @IVADOLabs

• Facebook: IVADO Labs Facebook

IVADO Labs continues to drive innovation in AI applications for supply chain management, leveraging its expertise and strategic partnerships to deliver impactful solutions across industries.