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Positive business impact
Societal and environmental challenges

why

We provide meaningful purposes via Artificial Intelligence
Companies that integrate responses to societal & environmental challenges as part of their strategy gain a competitive advantage. Moreover, Artificial Intelligence (AI) technologies are not only a external supporting tool for the company, they are now an essential part of it, growing from inside the organization.

Axionable's mission is to assist companies in creating sustainable value via responsible AI, with positive and measurable impacts for their business and the society as a whole. We develop meaningful, purpose-oriented artificial intelligence side by side with our clients as well as a diverse ecosystem including universities, NGOs and governments.

Sustainable AI unleashes new sources of value
To make it happen, we take initiative for 4 commitments at Axionable
70%
Generate 70% of our turnover as a sustainable share, determined according to a mission and company sustainability analysis and a sectoral exclusion policy
50
Achieve a 50 Net Promoter Score for customer satisfaction by 2025
50%
Improve the representation of women in our company to 50% by 2025
1.5°C
Contribute to limiting global warming to 2°C/1.5°C (effort to reduce our footprint being defined)

how

We create sustainable value from the board-member meeting to cloud platform
To achieve your goals, we have developed an exclusive approach based on 3 co-related pillars:
Our unique canvas stemming from the combination of design thinking and strategy consulting methodologies enables business leaders identifying sources of sustainable value and technological solutions adapted to their core business.

Our sustainable strategy team is led by managing director and founder Gwendal Bihan

We conduct applied research for sustainably oriented AI systems through our specialized scientific laboratory.

We rely on the best of French and Canadian university research in artificial intelligence. Through our presence in Montreal, where highly respected researchers such as Turing Prize winner Yoshua Bengio work, we have access to a thriving ecosystem in deep and automatic learning.

Our sustainable research team is led by Dr. Alexis Hannart, AI Scientific Director

We accelerate the development of custom use cases thanks to a proprietary solution that can be deployed on all Clouds (AWS, GCP, Azure...).

Our approach is based on 6 key principles: explainability, bias reduction, privacy, maintaining human decision making for critical tasks, robustness and green AI.

what

We solve real business problems and create positive impacts on society.
We focus our efforts on 7 use cases aligned with the UN goals for sustainable development, where AI has a demonstrated positive impact on a large scale:
Health & psychosocial risks prevention
PROBLEM STATEMENT
The latest technological developments in AI make it possible to detect psychosocial risks and thus increase well-being at work. Incidents such as Sexual and moral harassment, burnouts, isolation, … are detectable by Artificial intelligence (AI).

In this field, AI can have a social impact on the human resources of any enterprise, as well as on insurers and actors in the health sector, while paying particular attention to the management of personal and health data. In the industrial and transport sectors, computer vision technologies (AI applied to images and videos) make it possible to identify operators' postures and risk behaviors.

POSITIVE BUSINESS IMPACTS
Optimizing productivity

Reducing absenteeism and disability

SOCIETAL CHALLENGE
3
Health and well-being*
Anticipating climate change
PROBLEM STATEMENT
Climate change is impacting socio-economic systems around the world. Rising average temperatures come along with increasing probability of natural disasters such as floods, hurricanes or heat waves. These tragedies create chronic risks that are difficult for companies and organizations to predict.

Machine learning algorithms, enriched by massively available open data (weather forecasts, satellite images, ...) could assess and better anticipate these risks. We offer AI services and solutions for manufacturers, transport operators, insurers and other players to better anticipate these risks and avoid disasters for stakeholders. Stakeholders including employees, plant neighbors, customers, suppliers, etc.

POSITIVE BUSINESS IMPACTS
Cost savings in damage claims (€)

Increasing productivity

SOCIETAL CHALLENGE
11
Sustainable Cities and Communities*
Responsible finance & banking
PROBLEM STATEMENT
The financial services sector is currently at a critical crossroads, with a profound change in its business model.
For retail banks and asset managers, a responsible and inclusive approach to risk, based on fair and unbiased AI models, is an opportunity to provide financial services such as payment facilities, loans or mortgages to new customer segments.

For corporate banks, asset managers and custodian banks, rating assets according to environmental and social criteria is the new norm with responsible indices (DJSI, MSCI, FTSE4Good, Stoxx® Global ESG Leaders Index, CDP, Oekom, Vigeo Eiris, ATM, etc.).

POSITIVE BUSINESS IMPACTS
% yield gain in the long term

€ investment in the 17 SDGs (The Sustainable Development Goals )

SOCIETAL CHALLENGE
11
Sustainable Cities and Communities*
Sustainable supply chain
PROBLEM STATEMENT
Upstream, AI is essential for aligning suppliers with the responsible procurement strategy of companies. Predictive KYS (Know Your Supplier) analysis helps to identify suitable suppliers and reduce the risks associated with the sourcing process. Downstream, AI helps to decarbonize the transportation of goods.

Further into the manufacturing process, AI systems can suggest more sustainable alternatives to energy-intensive molecules or processes. As an example, we have developed an AI that analyzes global databases of patents and scientific publications, using NLP (Natural Language Processing) to identify an alternative set of molecules or synthesis processes that consume less water and/or energy.

POSITIVE BUSINESS IMPACTS
Cost saving in €

Creating jobs in #

Securing endangered species

SOCIETAL CHALLENGE
9
Industry, Innovation and Infrastructure*
Energy efficiency
PROBLEM STATEMENT
AI offers many ways to optimize the way our society produces, exchanges, transports, consumes and recycles energies such as electricity or heat.
Within renewable energy infrastructures, AI also enables the implementation of predictive maintenance protocols for equipment but also to fight against sabotage and vandalism by offering security solutions based on computer vision.

In the construction and real estate sector, big data, analysis and artificial intelligence offer tools to build in accordance with high environmental standards as a differentiating factor or simply to comply with regulations.

POSITIVE BUSINESS IMPACTS
Reducing the proportion of energy-related cost among total production processes

Reducing amount of CO2 emission

SOCIETAL CHALLENGE
7
Affordable and Clean energy*
Transformation of workforce with / for AI
PROBLEM STATEMENT
Some predict that AI will create a massive number of jobs, others assume the opposite and see AI as a threat to less skilled jobs.
Certainly, AI is the 4th industrial revolution and it is having a profound impact on the way we work. The latest developments in machine and deep learning, combined with other technologies (AR, RV, IoT, ...) are radically changing the division of labor between man, machine and augmented man.
In order to adopt a sustainable approach to AI transformation, companies must introduce and sharpen employees' knowledge to AI, which are often considered as externalities and complementary elements in the past.
POSITIVE BUSINESS IMPACTS
Optimizing efficiency

Creating new jobs

SOCIETAL CHALLENGE
4
Quality education*
AI for democracy
PROBLEM STATEMENT
Fake news and targeted political advertising proliferate on the Internet and social networks, with a proven impact on the functioning of democracies. AI solutions such as natural language processing technologies can help NGOs and the media spot false news.
Moreover, educating about social networks and AI is essential to raise awareness.
AI is also a powerful stimulus for developing a subscription-based business model in the media industry through strategies leveraging on the value of information, or on predicting attrition among subscribers, thus help media independence and pluralism to thrive.
POSITIVE BUSINESS IMPACTS
% paid media subscriptions

# of independent media

% citizen satisfaction

SOCIETAL CHALLENGE
16
Peace, Justice and Strong Institutions*

team

Leadership team
Founded in 2016 and profitable from day one, 
Axionable is managed by its partners:
Gwendal Bihan
Managing Director and co-founder
Charlène Deloison
Human Resources Manager and associate
Vincent Philippine
Media & Industry Director and Partner
Heroes of change
Every project is unique, our alternative approaches brings multidisciplinary specialist team that include data scientist, business IA consultant, ML engineer, sustainable consultant…

our clients

We leverage our expertise throughout the entire AI value chain
With more than 35 clients, mainly in the industrial, banking, insurance, media, luxury, real estate and health sectors, we dedicate ourselves to create a positive impact on our society

blog

30 May 2022

[Vidéo] ACTING IN TIME OF CRISIS at Change Now2022

“When a crisis happens you have to use what is available, no time for R&D, quick and fast… and we cannot make compromises on things like privacy or cybersecurity.” “CULTURE. CULTURE, CULTURE…most of the time the root cause is always a lake of tech & data culture. So the response is on culture, on training…we […]

Gwendal BIHAN
9 March 2022

L’Union de la Publicité Extérieure dévoile son calculateur d’empreinte carbone des campagnes développé avec Axionable

L’Union de la Publicité Extérieure dévoile son calculateur d’empreinte carbone des campagnes : une première dans l’univers des médias en France Accessible à tous, le calculateur d’empreinte carbone est disponible sur le site Internet de l’Union de la Publicité Extérieure (http://carbone-calculateur-adoohcc.upe.fr) et sur ceux de ses adhérents. Baptisé adOOHcc (advertisingOut Of Home calculateur carbone) et élaboré avec […]

Quentin FAULCONNIER
3 March 2022

Axionable lance la 1ère offre complète de formation à l’IA de confiance

Plaidoyer pour un accompagnement du changement vers une IA de confiance en entreprise L’IA se déploie chaque jour un peu plus dans nos vies personnelles et professionnelles. Elle fait face à un paradoxe : d’un côté, des opportunités d’innovations utiles et de réponses concrètes aux défis de notre Société, de l’autre, des risques importants pour […]

José Sanchez
IA durable & résilience
Accélérer la sortie de crise
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13 rue des Arquebusiers
75003 Paris
Montréal
1275 Avenue Des Canadiens-De-Montréal, Montréal, QC, H3B 0G4

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