From prediction to AI agents, we transform your teams' data and expertise into solutions capable of supporting decisions, orchestrating operations, and taking action.
We develop AI solutions and agents grounded in your reality to solve real challenges. They understand business rules, collaborate with teams, and integrate with existing systems to turn complex information into concrete action.
Discover how we've helped these clients achieve success through our technology.
Agentic AI | Healthcare workforce management
When an absence occurs at a healthcare facility, a race against the clock begins: understanding the need, verifying required skills, identifying available resources, communicating with them, and confirming the replacement.
With the CISSS de la Montérégie-Ouest, Airudi is developing SERENA, a solution that combines prediction and agentic AI to move from a reactive process to proactive orchestration of replacements.
The predictive model detects absence risks. The AI agent then interprets requests coming from different channels, sets priorities, and coordinates next actions according to the organization's rules.
What the solution will enable
From prediction to action: an agent that helps teams act before an absence becomes a service disruption.
AI applied to care | Healthcare
Nurses spend between 35% and 50% of their time on documentation, shift handovers, and task coordination.
Developed with the McGill University Health Centre and nursing teams, ENACT automates part of this workload, facilitates communication, and recommends task distribution tailored to staff skills and patient acuity.
Project objectives
An AI designed with nurses, to ease their daily workload and support quality of care.
Operational AI | Transportation and logistics
In port and airport environments, every delay can ripple through the entire supply chain.
Jointly developed by Airudi and SOGET, ALIZEA analyzes historical and real-time data to anticipate activity, detect critical changes, and guide teams toward priority actions.
What the solution enables
Thousands of daily users now have a clearer view to act faster.
Predictive AI | Prehospital healthcare
Urgences-santé serves 3.5 million people in Montreal and Laval. In an environment where every minute counts, teams must manage fluctuating demand, limited resources, and a constant risk of service disruption.
Airudi developed a solution capable of forecasting call volume, priority level, and the gap between available ambulances and operational needs.
Results
Because in an emergency, better forecasting means better response.
Predictive AI | Port operations
At the Port of Montreal, operations never stop — but ship arrivals, cargo volumes, and labor needs are constantly changing.
Airudi developed a solution that combines port data, weather, maritime traffic, available skills, and collective agreement rules to recommend the best deployment scenario.
Results
AI doesn't replace the decision. It gives teams the time and knowledge needed to make the right one.
Intelligent matching | Economic development
Some companies temporarily lack workforce. Others go through periods of inactivity and want to retain their skilled employees.
Developed by DEL and Airudi, DISPO uses AI to facilitate the temporary sharing of talent between organizations and create a more agile regional labor market.
Project objectives
A more mobile workforce. More resilient companies.
Whether forecasting emergency calls, planning port teams, or streamlining a supply chain, the starting point remains the same: a complex decision that could be better informed.
Airudi combines sector expertise, artificial intelligence, and operational knowledge to design solutions that:
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