The challenge is no longer simply to get a model working, but to ensure its real-time performance, stability, maintainability (MLOps/LLMOps), observability, and seamless integration into the existing IT ecosystem. The lack of structured industrialization leads to colossal technical debt and an erosion of user trust. Axionable brings software rigor and data engineering expertise to transform your prototypes into industrial-grade solutions that generate massive operational efficiency gains.

We help you select the highest-performing models, prioritizing sovereign solutions like Mistral AI when sovereignty is critical.

• DataGalaxy Partnership: Use of DataGalaxy’s Portfolio tool to map, manage, and accelerate the industrialization of your AI assets and use cases

• MLOps & LLMOps Expertise: Deployment of automated pipelines ensuring monitoring, security, and continuous model updates. Mastery of libraries specific to generative and agnostic AI: Ragas, DeepEval, Giskard, LangChain, LangSmith, Langfuse, LangFair, Ecologits, …

• Industry Accelerators: Pre-configured deployment frameworks for the energy, industrial, and critical financial services sectors.

• Focus on Sovereignty: Advanced expertise in European models, notably Mistral AI, to ensure technological independence and data security.

Our engineers design and deploy agent-based AI systems capable of autonomously orchestrating complex tasks, while remaining under human control. We integrate state-of-the-art models such as Mistral AI into your cloud or on-premises environments, optimizing inference costs and latency.

Our offering includes the implementation of modern data platforms, the development of robust APIs, and constant monitoring of algorithmic performance. Axionable thus guarantees rapid, secure, and sustainable deployment, transforming AI into a driver of industrial growth.

The challenge is to overcome cultural barriers, prevent skills obsolescence, and foster a constructive social dialogue around task automation. Without deep and tailored cultural adaptation across all organizational levels, AI projects risk rejection or underutilization. Today, companies must co-create the future of work with their social partners to ensure ethical and inclusive adoption.

Axionable supports organizations in this human-centered transition by offering targeted upskilling programs and facilitating the integration of AI into the company’s social contract.

• Training in the Responsible AI Process: Training for project managers or AI Product Owners, based on our LNE-certified methodology, to reassure employees about the ethics and reliability of the tools.

• Ethical and Responsible AI Expertise: Hands-on coding exercises for technical roles (data scientists, data engineers, ML engineers, AI engineers, etc.), with 80% of the work focused on using the latest tools and libraries to manage generative AI and agent-based systems

• Social Dialogue Expertise: Dedicated support for HR departments and employee representatives to ensure a smooth, collaborative development of AI projects.

• Human-Agent Approach: Focus on human-machine collaboration to highlight the role of the augmented employee rather than one replaced by automation.

We facilitate social dialogue by providing works councils and unions with the insights needed to assess the impact of AI on employment and working conditions. Drawing on our LNE-certified methodology, we help draft guidelines for the use of generative AI and establish observatories to track changes in job roles. We organize hands-on workshops on the use of sovereign models such as Mistral AI, ensuring rapid and secure skill development.

Axionable thus transforms AI into a unifying corporate initiative, where technology supports professional fulfillment and collective efficiency.

Faced with the growing requirements of ESG regulations such as the CSRD, the European Taxonomy, the CSDDD, and others, as well as increased pressure from civil society, it is imperative to align strategic plans with decarbonization goals.

A well-defined strategy translated into concrete actions not only ensures regulatory compliance but also paves the way for sustainable transformation, thereby offering competitive advantages and access to financing mechanisms linked to decarbonization.

• Compliance with the CSRD’s ESRS E1 requirements: Coverage of the Mitigation and Energy components, and alignment by design with other ESG regulations.

• Pragmatic and operational approach: Development and implementation of ambitious decarbonization strategies tailored to the specific challenges of each business line, with a focus on CAPEX/OPEX, ROI, productivity gains, and resilience.

• Expertise in technological solutions: Expertise in accelerating GHG emissions calculations and tracking action plans, including the selection and integration of market tools, the development of custom solutions, and the gradual automation of data collection.

• Use of artificial intelligence (including generative AI) to improve productivity: Data quality checks, identification of reduction measures, and concrete examples of application.

Often viewed solely as a cost center, we offer financial modeling of decarbonization plans, analyzing the CAPEX/OPEX involved as well as the costs of inaction, to identify the long-term benefits for our clients.

Our technological DNA allows us to combine three key areas of expertise: strategic decarbonization consulting, the integration of cutting-edge technological solutions, and solid experience in change management. This includes the training and change management necessary to deploy transformative and effective decarbonization strategies, as well as the implementation or development of customized solutions integrated into the Information System.

To remain competitive, companies must now assess the materiality of the risks and opportunities posed by a changing climate (both physical risks and those related to the energy transition), regardless of the scenario considered, and implement an adaptation strategy.

The stringent regulatory requirements in the ESG sector, particularly those related to the CSRD, as well as the handling of climate risk-specific data, are forcing companies to equip themselves to better manage their risks and implement adaptive measures.

• A pragmatic approach to maximizing project ROI and gains in resilience and productivity—even in the short term—supported in particular by Generative AI, for example to populate our libraries of adaptive mitigation actions and sector-specific strategies and vulnerabilities, or to facilitate access to climate information

• Responsible and de-risked climate AI models through the application of our certified, labeled AI ADM methodology, aligned with the future European AI Act regulation

• Deliverables and analyses that are enforceable and aligned with ESG regulations (CSRD, green taxonomy, ORSA, etc.), through an approach designed to be compliant with the CSRD (ESRS E1 requirements – Adaptation component) and enabling real-time updating of data points

Our pragmatic approach allows us to drive adaptation efforts based on ROI by systematically quantifying the financial impact and costs of climate change, thereby managing the impact on CAPEX and OPEX and implementing concrete action plans.

Axionable’s technological DNA enables us to move faster in assessing physical and transition risks—for example, by mapping our clients’ physical risks or transition risks and opportunities within a few days—or to go further and use AI to quantify the impact of climate change on a single site or a group of sites, and to integrate these efforts into our clients’ IT systems.

This new ESG regulation requires companies subject to it to conduct an in-depth analysis of their business model, gain a precise understanding of their stakeholders and the material issues affecting them in the short, medium, and long term, and collect dozens of data points and non-financial KPIs.

The CSRD aims above all to provide greater transparency and comparability in companies’ ESG performance. It is therefore an opportunity to accelerate the sustainable transformation of the business model to make it more sustainable and resilient—and ultimately more successful.

• Development of automated systems for collecting financial and non-financial data, starting with company identification

• A proven and certified delivery method, ensuring the highest standards of security, robustness, and traceability.

• Personalized change management support through onboarding and training sessions, tailored to both decision-makers and all employees

Throughout the process, we responsibly leverage the latest data and (generative) AI technologies to facilitate and accelerate ESG transformation, whether through our own solutions or those of our SaaS partners.

Without adoption, technology is useless. Therefore, our approach to ESG transformation and performance systematically focuses on engaging the company’s key personnel at the heart of this transformation, through a pragmatic and value-centered approach.