OperAI's mission is to help organisations continuously transform insights into operational intelligence that improves Production, strengthens Protection and accelerates Transition. By revealing potential, qualifying signals and understanding critical dynamics, OperAI enables organisations to adapt with confidence, act at the right time and generate measurable, sustainable and meaningful impact.
Founded in Montreal in 2019, OperAI is a Canadian DeepTech company developing TIP – Transition Intelligence Platform™, an operational intelligence platform that helps organizations improve Production, strengthen Protection and accelerate Transition.
By combining artificial intelligence, intelligent agents, digital twins, geospatial intelligence, simulation and quantum-ready capabilities, OperAI enables organizations to transform insights into action and generate measurable, sustainable and meaningful impact.
Every organization possesses untapped potential hidden within its operations, systems, infrastructures and environments. OperAI develops TIP – Transition Intelligence Platform™, the foundation of a next-generation Operational Intelligence Infrastructure that helps organizations reveal potential, qualify signals, understand critical dynamics and act at the right time. Through the convergence of operational intelligence, intelligent systems, simulation and emerging technologies, TIP transforms insights into measurable, sustainable and meaningful impact across Production, Protection and Transition - Reveal Potential. Qualify Signals. Accelerate Impact.
Transition Intelligence Platform - TIP™
The operating system for organizations in transition.
TIP – Transition Intelligence Platform™ is the foundation of a next-generation Operational Intelligence Infrastructure designed to help organizations improve Production, strengthen Protection and accelerate Transition. By connecting insights, signals, simulations, decisions and actions, TIP enables organizations to reveal potential, qualify signals and generate measurable, sustainable and meaningful impact
Each layer reinforces the others, forming a trusted operational Decision and Execution Infrastructure that continuously transforms signals into coordinated operational action
TIP provides the trusted Decision and Execution Infrastructure that transforms intelligence into trusted decisions and coordinated execution, enabling organizations to improve production, strengthen protection and accelerate transitions. Designed as a sovereign-ready operational orchestration infrastructure, TIP continuously transforms operational signals into validated, governed and executable actions across hybrid classical, edge, cloud and quantum-ready environments, connecting intelligence, operations and execution within a unified framework.
TIP™ has been designed from inception to be quantum-ready, aligning with the industry’s ongoing transition toward logical qubits, interoperability, and hybrid compute ecosystems. While quantum hardware continues to advance, enterprise adoption remains constrained by integration and deployment challenges. TIP addresses this gap by establishing a compute-agnostic, governed execution layer that operates effectively on classical systems today while enabling the progressive integration of advanced optimization methods, including quantum, as they become viable. This approach ensures that organizations can adopt emerging compute capabilities safely, incrementally, and based on measurable value, without disrupting existing operations or compromising governance and control.
This new Operational Intelligence Platform focuses on operational issues, grounds intelligence in evidence, and delivers targeted, dynamic actions—including climate actions—enabling organizations to act ahead of change across complex systems and sectors.
Recognized for Decision Infrastructure
OperAI received the Best Cyber AI Solution recognition at GITEX Africa 2026 for advancing real-time decision and execution infrastructure that improves production, optimizes resource utilization, reveals latent operational potential, and enhances performance across complex systems.
OperAI received the Best Cyber AI Solution recognition at GITEX Africa 2026 for advancing real-time decision and execution infrastructure that improves production, optimizes resource utilization, reveals latent operational potential, and enhances performance across complex systems.
TIP enables organizations to improve production, strengthen protection and accelerate transition by transforming operational intelligence into trusted decisions and coordinated execution.
From protection to production
TIP is designed not only to detect risks and constraints, but also to improve how systems use energy, water, materials, and infrastructure resources in real time.
Applications include:
TIP is designed not only to detect risks and constraints, but also to improve how systems use energy, water, materials, and infrastructure resources in real time.
Applications include:
- energy optimization
- water systems
- industrial production
- agriculture and climate adaptation
OperAI has expertise addressing complexity that helped in speeding up processes including complex processes, such the use of fractal geometry with neural networks to automate and speed up objects identification, including objects with irregular and subtle shapes. Some of this work was published in Fractals and Complexity in Nature international conferences by the World Scientific. Other work, which involves speeding up processes to adapt to and mitigate climate change was published by Taylor & Francis Group and at the Conference on Neural Information Processing Systems (NeurIPS),
OperAI publishes also original articles and chapters (as above) as well as books spanning big data, machine learning, IoT, AI, QC to edge analytics.
Book on Edge Analytics by OperAI
“" "Both edge analytics and fog analytics involve pushing intelligence and processing capabilities down closer to where the data originates."
Automation World (2018)
“" "Both edge analytics and fog analytics involve pushing intelligence and processing capabilities down closer to where the data originates."
Automation World (2018)
- OperAI helps to carry out real-time analytics and streamline operational activities by leveraging Big Data, Artificial Intelligence (AI), AND Quantum Computing (QC) using different platforms.
- OperAI focuses on operational data in the cloud and the edges to process and analyse data streams on real-time, whether as a signal, image or textual data.
- OperAI works with partners in industry, research and academia in the realm of industry 4.0 for more accurate, efficient and environmentally friendly operational processes.
- OperAI has expertise on preparing and developing AI/QC applications and tools that helped in speeding up discovery and delivery processes, with results considered as breakthroughs. These tools are used in research and development (R&D), including international research organisations and development agencies as well as industries.
OperAI co-develops IoT tools and AI applications involving cognitive analytics with people in the loop.
80%
of employees are keen to learn artificial intelligence skills and
are comfortable with AI in the workplace
(TechRepublic 2019).
80%
of Business and Tech Leaders mentioned that
AI creates jobs and increases productivity,
(BusinessWire, 2015).
of employees are keen to learn artificial intelligence skills and
are comfortable with AI in the workplace
(TechRepublic 2019).
80%
of Business and Tech Leaders mentioned that
AI creates jobs and increases productivity,
(BusinessWire, 2015).
Readers' feedback on the books
Excellent book! (Machine Learning)
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Fantastic book, Big Data of Things!
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Services & Products
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Reviews & Comments
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Team Members
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Operational AI to speed up processes of
production & protection at the edges,
with people in the loop.
OperAI co-develops also tools within the sustainability perspective
by including e-waste in the process of making new products with its
recycling partners.
by including e-waste in the process of making new products with its
recycling partners.
IoT deployment can help to curb global warming by cutting carbon emissions by 15%.
OperAI has been selected among the first projects of the first NextAI Canada Montréal program, in 2018 as an edge AI-based analytics platform. It has been then launched officially with the support of the Government of Québec early 2019.
One of OperAI projects has been selected by Quantum Quebec and City of Montreal to be presented in 2022 - 2023 international events on emerging technologies in Japan, South Korea and Europe respectively. This project has been also hosted by CENTECH during 2022.
OperAI has joined the Evolution of Networked Services through a Corridor in Québec and Ontario for Research and Innovation program, known as ENCQOR, early 2020 and Réseau Montréal.
OperAI has also partners working on the development of IoTs in Québec.
OperAI is expanding in its partnership to include new partners to speed operational process and help to adapt to and mitigate climate change.
One of OperAI projects has been selected by Quantum Quebec and City of Montreal to be presented in 2022 - 2023 international events on emerging technologies in Japan, South Korea and Europe respectively. This project has been also hosted by CENTECH during 2022.
OperAI has joined the Evolution of Networked Services through a Corridor in Québec and Ontario for Research and Innovation program, known as ENCQOR, early 2020 and Réseau Montréal.
OperAI has also partners working on the development of IoTs in Québec.
OperAI is expanding in its partnership to include new partners to speed operational process and help to adapt to and mitigate climate change.
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OperAI will be looking for developers to help with designing and developing applications in the cloud and the edges. The tasks include:
- Writing and compiling codes in R, Python, Spark, C++ and Q#.
- Debugging codes by testing and fixing errors, if any.
- Simulations and testing programs in real situations before their launch.
- Deployment and launch of applications, including mobile apps.
- Writing and compiling codes in R, Python, Spark, C++ and Q#.
- Debugging codes by testing and fixing errors, if any.
- Simulations and testing programs in real situations before their launch.
- Deployment and launch of applications, including mobile apps.
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