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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
100%
of our revenues aligned with UN Global Goals by 2021
-50%
of our carbon footprint by 2020
x4
4 times of the number of female employees by 2020
4
4 black-list controversial sectors: tobacco, liquors, defense & fossil energies

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.

Our Sustainable Solutions team is led by our Technical Director and founder Laurent Wlodarczyk.

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
Alexis Hannart
Scientific research director and associate
Vincent Philippine
Media & Industry Director and Partner
Franck Touboul
Administrative and Financial Director and co-founder
Laurent Wlodarczyk
Technical director and associate
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

15 November 2019

Le projet d’identifiant unique “PassMedia” du GESTE, déployé sur les technologies AWS, en collaboration avec Axionable.

Le GESTE et Axionable réalisent un projet ambitieux en s’appuyant notamment sur les services proposés par SAP et AWS : En février dernier, le GESTE annonçait la création d’une solution de SSO (Single Sign-On) pour concurrencer les GAFA et rester maîtres des données de leurs utilisateurs. En effet, une centaine de médias français souhaitent proposer […]

Marie Geoffroy-Lombard

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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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