Ai Outcome, a Montreal start-up, was founded to help Service Providers and asset owners create long-term economic value through risk management, asset performance optimisation and increasing revenue. Making Artificial Intelligence simple to adopt and yet getting its benefits through the daily operations of your assets.

Ai Outcome leadership team is composed of industry leaders and professors from Université de Montreal’s HEC business school who specialise in Artificial Intelligence, software engineering, and finance.

Our Services

Ai Outcome's decision support tools and expertise harness massive volume of data, analytics and artificial intelligence and give you a clear path forward.

Operations optimization

Operations optimization

Ai Outcome's Interactive Operations Support tools and modules are designed to help site managers in their daily operation understand incidents, patterns, correletions from large and complex data sets. New insights help them make better fact-based decisions that allow them to maximize equipment uptime while minimizing life cycle costs and energy spend. Tools also support identification and management of high-priority continuous improvement initiatives which drive operations excellence.  AiOutcome's tools leverage existing CMMS, BMS and IoT and are secure SaaS based.

Performance Management

Performance Management

Ai Outcome's Performance monitoring tools allow executives to supervise projetcs and measure corporate performance on a real time basis, leading to full transparency and timely decision making. Real-time dashboards can be shared with clients, tenants and building occupants, increasing customer awareness and satisfaction. Ai Outcome can contribute at multiple levels of your business: financial planning, budgeting and operational risk management.

Expertise

Expertise

With its extensive knowledge of the facility management and Public Private Partnerships (PPP), Ai Outcome accompanies decision makers in defining optimal performance measures and relevant insights to maximize alignment of operational activities with desired corporate outcomes. Artificial Intelligence based tools may be unfamiliar, Ai Outcome team offers advice on how to best leverage them in your business and integrates its decision support tools in your operational project setting seamlessly.

Leadership Team

Based out of Montreal, Qc

After more than 25 years, selling and implementing large technology solutions to different industry and providing a solid value to his clients as well as his stakeholders, François Labrie keeps the firm belief that when AI is properly implemented it brings sustainable value to enterprises.  When he saw François Dépelteau becoming available on the market they talked for a few months and Ai Outcome was created. F.Labrie teaches AI and Big Data at HEC Business School in Montreal.  He is also helping social enterprise take advantage of AI to help kids with learning disabilities.

After more than 25 years of experience leading large services providers in North America, he has decided to join force with a co-founder and make a difference in this industry with the use of AI.  François Dépelteau has delivered high growth and solid results to numerous clients and stakeholders all through his career. He has discovered a new interest for AI therefore he co-created Ai Outcome.

After a career of more than 25 years as executives of 2 major banks in Canada Marie Lynne has decided to work in the AI field as she saw great new possibilities to improve how businesses can expand with AI.  She has a strong success path in putting together marketing and sales teams with strong results.  She has been all her career supporting corporate banking clients and now she sees with AI Outcome new ways to help companies create tangible value and growth

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Advisors

Michel Desmarais

Michel Desmarais

Scientific Advisor

François Bellavance

François Bellavance

Scientific Advisor

Geneviève Gauthier

Geneviève Gauthier

Scientific Advisor

Michel Desmarais is professor at the Computer and Software Engineering Department of Polytechnique Montreal since 2002.  His fields of expertise are Artificial Intelligence, Human Computer Interfaces, and Cognitive modeling.  After his Ph.D. in Psychology at the University of Montreal, he spent ten years at the Montreal Computer Research Institute (CRIM) as scientific lead of a research team.  He later held management and R&D positions in a private firm specialized in the development of Web applications.  He authored over 100 scientific papers, and held a number editorial positions in scientific journals as well as organizational roles in a number of scientific conferences.

François Bellavance is a professor at the Department of Decision Sciences at HEC Montréal. He is a member of the CIRRELT Research Center (https://www.cirrelt.ca/), the Scientific and Technology Transfer Committees of the Data Recovery Institute (http://ivado.ca/), researcher in road safety in Quebec (http://www.rrsr.ca/) which he led from 2010 to 2015, and associate member of GERAD (https://www.gerad.ca/fr). He obtained his Ph.D. in Statistics in 1994 from the University of Montreal. He was Director of the Statistical Consulting Service at Simon Fraser University (1990-1993), Biostatistician at St. Mary’s Hospital Center, and Assistant Professor in the Department of Epidemiology and Biostatistics at McGill University (1994-1998) , before joining HEC Montréal in 1998.

Professor at the Department of Decision Sciences at HEC Montréal, Geneviève Gauthier teaches stochastic calculus, modeling, numerical methods and statistics to students in graduate programs in financial engineering, finance and business analytics. In research, she publishes on credit risk, on risk management as well as on financial market modeling and model estimation.