Artificial Intelligence 

AI as a sustainable operational capability

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Architecture
business
Business
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Infrastructure

Moving from POC to Industrialization

AI is changing in nature. After the phase of experiments and proof-of-concepts, it is now entering the era of large-scale deployment. Companies are no longer looking to test AI, but to durably transform their performance, accelerate their operations, reallocate human time toward higher-value activities, secure their decision-making, and integrate AI into their critical business processes.

Yet so many initiatives fail to scale. The problem is not the model, it’s systemic : multiple POCs without a clear roadmap, use cases disconnected from processes, governance brought in too late, under-dimensioned infrastructure, spiraling costs, misalignment between business/data/IT, and adoption challenges.

ANEO operates at the intersection where few players connect business challenges, Data/IT issues, and the industrial reality of AI platforms. Our conviction : AI must be designed as an industrial capability. Value does not rest solely on models. Use cases, processes, governance, platforms, architectures, and infrastructures must all be aligned. The goal is to make AI scalable, governable, secure, economically sustainable, and durably integrated.

Book a 30-minute diagnostic to identify your industrializable AI use cases !

"AI is not just about deploying models.
It is about sustainably transforming the way the company operates"

Our key drivers

DEFINE

Identify the right areas for AI by balancing business impact and practical feasibility

STRUCTURE

​Create the organizational and technical conditions for scaling up

DESIGN

Translate ideas into use cases designed for production from the outset

INDUSTRIALIZE

Transform use cases into reliable and operational AI services

DEPLOY

Sustainably embed AI into practices and the organization

Aneo’s Unique Strength : Our Dual Expertise

We bridge the gap between AI applications and their industrial reality through our inseparable dual expertise. On one hand, business transformation: AI strategy, governance, adoption, process evolution, operating models, and large-scale deployment. On the other hand, we build AI capabilities : cloud and AI platforms, HPC and GPU infrastructure, industrial architectures, and workload operation and optimization. This position enables us to balance business and IT ambitions, technological realities, operational performance, cost control, security, and the actual ability to scale.

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technology partners

AI Transformation : Making AI a Sustainable Capability

We propose transforming AI applications into concrete drivers of transformation that can be managed and adopted at scale. Value creation depends on alignment across business units, processes, governance, and the organization’s operating models.

Our transformation capabilities : AI strategy, use case definition, governance and accountability, team adoption, operating model evolution, value management, and large-scale deployment.

Our unique areas of expertise : change management, integration of business, data, and IT, process transformation, integration into operational practices, securing AI applications, and providing long-term support to organizations.

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AI Factory : Transforming AI Applications into Industrial Capabilities

We offer an AI Factory solution to transform AI applications into industrial capabilities that can be deployed at scale. Value creation relies on high-performance, robust, and economically sustainable platforms.

Our industrial capabilities : AI & GenAI architectures (cloud, on-premises, hybrid), DataOps/MLOps/LLMOps platforms, technical governance and security, and model monitoring and operation.

Our differentiating expertise : HPC & GPU infrastructure, AI workload optimization, performance and resilience, large-scale inference, AI FinOps, and resource-efficient usage.

Our references

Our insights from more than 15 AI projects deployed in production reveal the core principles of organizations that successfully scale AI over the long term : explicit governance and human accountability, sustainable alignment between business units, data, and IT, augmented and supervised processes, and managing use cases as industrial products. Explore our case studies that illustrate these common principles.

Our case studies

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The pillars of our offering

ANEO supports organizations at every stage of their AI transformation by aligning use cases with the practical realities of their deployment and adoption. Our approach encompasses tool adoption, the establishment of trust frameworks, and the sustainable integration of AI use cases into business operations and organizations.

  • AI tool demos & prompting
    Explore practical applications of AI, understand its potential, and learn how to craft effective prompts to accelerate adoption 
  • AI governance & security
    Build a clear, controlled, and compliant framework for deploying AI within the company while minimizing risks
  • Culture change & adoption
    Develop an understanding of AI challenges, engage teams, and foster sustainable adoption of new use cases
  • AI and training
    Discover our approach to AI and training 
  • HPC & GPU
    DDiscover our expertise in HPC & GPU