Operational AI at the Edges

Our mission is to innovate at the forefront of emerging AI and Quantum Computing (QC) technologies, driving progress by creating transformative solutions that make operational processes more efficient, accurate, and sustainable. Through collaboration we co-create innovative and transformative solutions that maximize benefits and promote sustainable operational processes and actions, including climate actions.

OperAI uses artificial intelligence (AI) and quantum computing (QC) to improve manufacturing and business operations by integrating AI and QC into operational processes in the edges and the cloud. It enables task automation, efficiency improvements, and data-driven decision-making, spanning proactive planning decisions to the implementation of actions within a sustainability perspective.

OperAI is dedicated to operationalizing production and development activities to enhance efficiency and ensure long-term sustainability. It develops innovative products and delivers tailored services that harness operational data (big data), artificial intelligence, and quantum technologies—both in the cloud and at the edge. Through strategic partnerships, the company streamlines and automates production and development processes, accelerating time-to-production and reducing costs. These efforts drive operational excellence while unlocking creative potential and fostering innovation.

OperAI supports intelligent operations involving People, Processes and emerging Technologies to drive innovation, which in turn speeds up and streamlines operational processes within sustainability perspective. OperAI uses a dual approach and hybrid platforms for a better outcome.

Climate change has created unprecedented challenges requiring to speed up adaptation and mitigation processes across sectors, including agriculture, energy and transportation. Climate change impacts and risks are becoming increasingly complex and more difficult-to-manage. Between 34-39% of companies abandon their efforts to address such complex and diffcult-to-manage problems. Comprehensive, effective, and innovative responses can harness synergies and reduce trade-offs between adaptation and mitigation to advance sustainable development. OperAI is developing innovative tools, including development of transformative tools to help address complexity and accelerate the transition towards more sustainable and efficient operations.

Source: IPCC Report (2023)

Urgent climate actions needed to avoid tipping points concluded a recent study. It also points out that limiting warming to well below 2°C and preferably 1.5°C is not safe as 1.5°C, a goal that was made during the 2015 Paris Agreement on climate change by the year 2030. A global temperature above 1.5°C may trigger multiple climate tipping points.

OperAI with its strategic partners currently developing innovative tools than can help to address and speed-up operational production processes taking into account ESG processes. OperAI uses a dual approaches and hybrid platforms that leverage the power of classical and quantum emerging technologies.

The location of climate tipping elements in the cryosphere (blue), biosphere (green) and ocean/atmosphere (orange), and global warming levels their tipping points will likely be triggered at. Summary Map by Earth Commission/Globaïa.

GHG emissions are piling beyond critical limits leading to complex extreme events with more frequent climate risks and incidents along with unprecedented global temperature increase. These risks are escalating with every increment of global warming and their interactions with non-climatic risks are creating compound and cascading risks that are becoming more complex and difficult to manage. The year 2024 has been marked by record temperatures and extreme weather events. The UN is urging countries to drastically cut emissions and “move away from this path to ruin,” as additional climate action is needed more than ever.

OperAI has been launched in 2019 banking on its long experience developing math-based innovative and practical methodologies to streamline and speed up operational processes. Some of these innovative methodologies developed with partners from academia and industry, involving machine learning that are currently used globally to develop crops to sustain heat and drought. Some of these crops sustaining heat and drought are currently grown in a number of countries

OperAI is based in Montreal and currently working with strategic partners developing new math-based tools involving ML, AI and Quantum technologies to help streamline and speed up climate actions.

OperAI has expertise addressing complexity that helped in speeding up processes in R&D, 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),

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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)

OperAI helps to carry out real-time analytics and streamline operational activities by leveraging Big Data, Machine Learning and Artificial Intelligence, Quantum Computing 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).

Readers' feedback on the books

Excellent book! (Machine Learning)

"Excellent book, didactic, concise with a global view of the ML universe. I'm using it, with others, to prepare my introductory ML course. I also strongly recommend reading for executives who wish to have a comprehensive, well-written, concise overview of ML."

Fantastic book, Big Data of Things!

"Amazing book, goes from overview to details for most aspects of Big Data if not all, if you are a beginner to Data Sci, AI, Machine Learning, this book will help. Some content are mathematical, programming or scripting experience could enlighten you better. Overall time well spent, highly recommend it."

Services & Products

Reviews & Comments

Team Members

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.

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 recently.
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.

OperAI will be looking for members to join OperAI team. Looking for new members with math and/or engineering background and experience in programming and prototyping.

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.

OperAI streamlines operations to maximize efficiency and performance, deploying hybrid classical-quantum technologies that enable smarter decision-making, resource optimization, and measurable ESG outcomes.

Readers' feedback on the books

Excellent book! (Machine Learning)​"Excellent book, didactic, concise with a global view of the ML universe. I'm using it, with others, to prepare my introductory ML course. I also strongly recommend reading for executives who wish to have a comprehensive, well-written, concise overview of ML."

Excellent book! (Machine Learning)

"Excellent book, didactic, concise with a global view of the ML universe. I'm using it, with others, to prepare my introductory ML course. I also strongly recommend reading for executives who wish to have a comprehensive, well-written, concise overview of ML."