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Business impact
Societal challenges

why

We are committed to create purpose via Artificial Intelligence
At Axionable, we believe that enterprises addressing societal challenges as part of their core strategy attain a competitive advantage. We also believe that Artificial Intelligence (AI) technologies are not only supporting the business but are now part of the essential beliefs among us. Thus, at Axionable, we believe in both Sustainability and AI as a clear link to business value.

Our mission at Axionable is to accompany companies to create sustainable value by leveraging AI responsibly, with positive and measurable impact for their business as well as the communities. We build AI with purpose, working together with our clients and a diverse ecosystem spanning from , NGO, to Governments.

We believe in both Sustainability and AI as a clear link to business value
To make it happen, our 4 self-set commitments to Axionable’s sustainable growth roadmap are :
100%
of our revenues aligned with UN Global Goals by 2021
-50%
of our carbon footprint by 2020
x2
gender diversity by 2020 for a better empowerment of woman and LGBTQ+ community
4
black-list controversial sectors : tobacco, liquors, defense & fossil energies

how

We deliver sustainable value from the Executive Committee to the Cloud
To reach our goals, we have developed an exclusive end-to-end approach to deliver sustainable value, relying on our 3 proprietary assets:
Sust{ai}nable Strategy : A unique strategic canvas to help C-level executives identify sustainable sources of value and design science-based solutions to pragmatic business problems.

We combine proven sustainable strategy approach with robust strategy consulting frameworks and design thinking methodologies.

Our Sustainable Strategy team is led by our founding Chief Executive Officer Gwendal Bihan.

Sust{ai}nable Research : An Applied Research lab dedicated to Artificial Intelligence for sustainable purposes.

We leverage the best of French and Canadian Artificial Intelligence Academia and our presence in Montreal, home to a thriving machine and deep learning ecosystem and highly respected researchers such as the Turing award winner Dr. Yoshua Bengio.

Our Sustainable Research team is led by our Chief AI Scientist Dr. Alexis Hannart.

Sust{ai}nable Solutions : A carefully constructed collection responsible AI solutions for AWS, GCP & Azure Cloud infrastructures, built on 6 key principles: explainability for compliance, inclusive AI, privacy, human in the loop, robustness and GreenAI.

We offer a one-stop-shop to deploy AI responsibly, leveraging our proven development framework, 4 highly customizable tools and strong partnerships with leading cloud & software editors.

Our Sustainable Solutions team is led by our founding Chief Technology Officer Laurent Wlodarczyk.

what

We solve genuine Business problems and create Positive Impact for Society
A great part of our inputs is invested in the 7 categories of use cases, all related to United Nation Sustainable Development Goals, where we found AI is proven to create positive impact at scale:
The latest improvements in AI technologies now help improve well-being and quality of life at work by predicting social risks scenarios. Sexual & moral harassment, burnout, isolation, … Artificial Intelligence (AI) is now able to flag psychological risks. This AI use case could provide social impact for Human Resources stakeholders within all size of enterprise, as well as for insurance & healthcare players, with a careful attention on personal & health data management. In the manufacturing & transportation sectors, computer vision technologies (AI applying to images and videos) can flag workers' risky postures and behaviors of operators.
3
Sustainable Development Goals
Good health and well-being*
Climate change is impacting many socioeconomic systems across the globe in an increasingly visible manner. In many areas, climate-related extreme events such as storms, droughts, fires, heat waves, and floods are becoming both more intense and more frequent. Ecosystems are also changing, impacting the natural resources which human welfare and business sustainability depend on. Along with their efforts aiming at reducing GHG emissions, enterprises and organizations also need to be prepared as soon as possible for the inevitable consequences of climate change, which are already approaching. There are various actions to respond to climate change, including quantifying, forecasting and mapping climate related hazards as well as anticipating their future evolution. Machine Learning algorithms, fueled by open data massively available in this field (remote sensing observations, climate model simulations and projections, climate re-analysis), offer a promising solution to this challenge. We are developing AI services & solutions for manufacturers, transport operators, insurers and other players to better quantify and predict these risks, and to let the stakeholder to manage them efficiently. Stakeholder such as employees, plant neighbors, clients, suppliers, etc.
11
Sustainable Development Goals
Sustainable Cities and Communities*
Facing various diversifications in its business model, financial service sector finds itself on a crucial crossroad these days. Beyond managing ESG as a risk, a strategic approach to sustainability is a powerful competitive advantage and a genuine differentiator within the industry. For retail banking & wealth management, a responsible & inclusive approach to mitigate risks, powered by unbiased & fair AI models, is a tremendous opportunity for financial services such as payment facilities, loans or mortgage to first-time applicants. For corporate banking, asset management and custodian, scoring assets over environmental and social metrics will become the new norm. Responsible indexes proliferate (such as DJSI, MSCI, FTSE4Good or Vigeo Eiris…), an in-depth analysis of their strengths & weaknesses is indispensable to drive competitive advantages.
11
Sustainable Development Goals
Sustainable Cities and Communities*
For each step of the supply chain, AI is proven to drive efficiencies, differentiation & societal outcomes. Upstream, AI is key to align the suppliers with responsible sourcing strategy with the enterprises. Predictive KYS (Know Your Supplier) is powerful to help identify the appropriate suppliers & de-risk the sourcing process. AI can also help streamlining the overcall contract management process by automating low-value tasks (information extraction from the contracts...) or identifying/scoring high-risk contracts. On step deeper into the manufacturing process, AI application can suggest more sustainable manufacturing processes. As an example, one of our AI applications could scan the global patents & scientific publications databases. We achieve so by using NLP (Natural Language Processing) to synthesize production processes that consume less energy. Downstream, AI helps decarbonize the transport of goods. With models inherited from proven operational research methods, AI optimizes the transport routes for trucks, trains & freighters, thus reducing CO2 emissions. AI can also optimize the overall S&OP process thanks to advanced predictive demand-forecasting.
9
Sustainable Development Goals
Industry, Innovation and Infrastructure*
AI offers a wide range of manners to optimize how our society produce, trade, transport, consume and recycle energies such as electricity and heat. To accelerate the adoption of renewable energies, AI is an enabler of smart grids, a way to cope with a large number of scattered power stations such as windmills or solar panels. Inside renewable energy infrastructures, AI supports the predictive maintenance of electronic and physical equipment. AI can also support energy & utilities companies in their fight against sabotage and vandalism by offering robust computer vision-based security solutions to protect valuable assets and grids and reduce the need for on-site security staff. For the construction & real-estate industry, data, analytics and artificial intelligence offer prescriptive tools to build high environmental standards as a differentiator or just to comply with the regulations. The electricity traders enjoy advanced forecasting of power demand to avoid shortage and to ensure a smooth operation. For the consumer, AI is embedded into smart home appliances and smart meters, to help a responsible management of electricity, heat and water and to prevent home accidents.
7
Sustainable Development Goals
Affordable and Clean energy*
Some predict that AI will create a massive number of jobs, other assume the opposite and consider AI as a threat for some labor-intensive and repetitive jobs. For sure, AI is the 4th industrial revolution and it largely impacts the way we work. Latest developments in machine and deep learning, combined with other technologies (AR, VR, IoT, …), dramatically shift the allocation of the tasks done by human, those done by the machine and those done by “augmented” human. To adopt a sustainable approach to AI-transformation, companies must invest in the transformation & re-skilling of workforce to AI, previously often considered as externalities.
4
Sustainable Development Goals
Quality education*
Fake news and political ad-targeting are proliferating across the Internet and social networks, with a proven influence on democracy. AI solutions such as Natural Language Processing technologies help NGO and media players flag fake news. Education on how social media analytics & AI work is key to raise awareness of the populations. AI is also a powerful boost to the development of the subscription based business model in the media industry thanks to informed value based strategies, churn prediction analyses ...thus encouraging media independence and pluralism.
16
Sustainable Development Goals
Peace, Justice and Strong Institutions*
*The United Nations Global Goals for Sustainable Development.

our clients

We work with more than 35 clients, mainly in the industrial, banking, insurance, media, luxury, real estate and health sectors. Among them:

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Paris
13 rue des Arquebusiers
75003 Paris
Montréal
1275 Avenue Des Canadiens-De-Montréal
Montréal, QC, H3B 0G4