Generative AI Consulting Firm

Deploy your Generative AI projects

Industrialize your AI use cases with our expertise in infrastructure, cloud, and security. LLM, RAG, vector stores, we integrate AI components seamlessly into your existing ecosystem.

I have a project

Integrating AI at the core of your information system, a strategic challenge

The rise of large language models (LLMs) and RAG (Retrieval-Augmented Generation) architectures is enabling new business and IT use cases with tangible benefits — automation, internal copilots, document assistants, enhanced support, and more.

However, their implementation raises critical challenges: data sovereignty, system compatibility, performance, scalability, and security.

Our experts help you turn your AI projects into a technical reality — reliable, secure, and fully aligned with your ecosystem.

How we successfully deliver your Generative AI project

Our expertise in Generative AI, Data Management, Security, and Infrastructure enables us to successfully carry out the technical deployment of your Generative AI projects.

Technical architecture and AI stack selection

Analysis of your IT environment (cloud, hybrid, security, network)
Selection of suitable components: open-source LLMs (LLaMA, Mistral), GPT-4, Azure OpenAI, etc.
Definition of the RAG architecture: vector database, search engine, AI pipeline, API

Implementation of secure AI environments

Deployment on-premise, in private or public cloud environments, according to your requirements
Integration with your authentication and governance tools (IAM, MDM, proxy, etc.)
Management of usage rights and securing of API calls

Industrialization of Generative AI use cases

Production deployment of internal copilots, document bots, and business assistants
Integration into your business or collaboration tools (SharePoint, Teams, intranet, CRM, etc.)
Performance monitoring, logging, and usage tracking

Testing, scaling, and continuous optimization

Functional and technical testing on a limited scope (MVP)
User feedback tracking, adjustments, and scalability improvements
Optimization of prompts, indexing, and generated responses

4 reasons to work with us on your AI deployment

We have a pool of expert profiles ready to meet your specific AI and Data project needs, including AI specialists, AI project managers, cybersecurity experts, and cloud architects.

Comprehensive mastery of AI infrastructures: cloud, network, cybersecurity, storage, performance… we speak the same language as your technical teams.

Secure and governed approach: we anticipate risks, involve your security teams, and adhere to your internal policies.

Guaranteed interoperability with your IT system: our solutions integrate seamlessly with your existing environment.

Concrete, industrialized use cases: we don’t stop at POCs; we take your AI projects all the way to production.

Deploy your Generative AI use cases today

Benefit from end-to-end technical support to industrialize your artificial intelligence use cases securely.

Speak with an expert

Frequently Asked Questions

Will the AI have access to my sensitive data?

No. We use techniques like RAG, which allow us to query internal data without exposing it to external models.

Which AI models can I use in my company?

We help you choose between open source LLM (LLaMA, Mistral…) and proprietary solutions (OpenAI, Azure OpenAI, etc.), according to your needs and constraints.

Do you integrate your solutions into Microsoft 365 or my business tools?

Yes. We create connectors with Teams, SharePoint, your business tools or your internal systems via API.

Do you provide post-deployment support?

Yes. We provide monitoring, continuous optimization and technical support for your deployed AI solutions.

Is a public cloud required to run generative AI?

No. We also offer AI architectures on-premise or in your private cloud, depending on your security or sovereignty constraints.