AI & Automation · Generative AI

Generate your text & image content with a custom AI

Integrate the power of generative models (GPT-4o, Claude, Mistral, Stable Diffusion, Midjourney) directly into your business tools. Produce 10x more content without compromising on quality, brand, or GDPR compliance.

What is Generative AI applied to business?

Generative AI encompasses models capable of producing original content, text, images, audio, code from a simple natural language instruction. Large models like GPT-4o, Claude, Mistral, Stable Diffusion, or Midjourney unlock unprecedented use cases for businesses: drafting product descriptions at scale, creating marketing visuals on demand, generating personalized content by customer segment, and automating translation and localization.

But simply opening ChatGPT in a browser tab isn’t enough. To turn it from a novelty into a true productivity lever, you must integrate these models with your data, your tools, and your editorial guidelines, while setting boundaries and ensuring security and compliance. That is our expertise.

When do you need generative AI ?

Your teams mass-produce marketing, sales, or editorial content.

You manage a product catalog with hundreds or thousands of SKUs to enrich.

Your marketing visuals rely on slow and expensive external providers.

You want to personalize your communications by segment, language, or persona.

Your employees are using ChatGPT on their personal accounts, outside of any secure framework.

You want to industrialize content production without losing your brand identity.

Case studies

What generative AI can do for you

Content generation & assisted writing

Drafting your articles and social media posts, as well as business proposals, job descriptions, and contracts, in strict compliance with your company's brand guidelines.

Product catalog enrichment

Automatic generation of titles, short and long descriptions, SEO attributes, and multilingual translations from your technical data sheets. Ideal for e-commerce, marketplaces, and PIMs.

Marketing image creation

Product visuals on contextual backgrounds, blog illustrations, social media banners, mockups, and A/B variations. Stable Diffusion, DALL·E 3, and Midjourney integrated directly into your workflow.

Summaries & syntheses

Meeting minutes, summaries of lengthy documents, and extraction of key information from PDFs, emails, and reports. A massive time-saver for your teams.

Our method

From idea to production in 4 steps

Scoping & workshops

We identify your priority use cases, content sources, and editorial/brand constraints. We choose the right model (proprietary or open-source) and assess risks. Deliverable: a shared roadmap.

1 à 2 weeks

Prototype (POC)

Development of a functional prototype for a targeted use case: product description generation, image creation, or a writing assistant. We measure output quality and relevance before scaling.

3 à 5 weeks

Industrialization

Integration into your existing tools (CMS, PIM, CRM, DAM, Office 365), implementation of fine-tuning or prompt-engineering, human validation workflows, load scaling, security protocols, and team training.

6 à 10 weeks

Measurement & improvement

Monitoring KPIs (volume produced, acceptance rate, cost per content, business impact), continuously refining prompts, updating models, and ensuring ongoing governance and compliance.

Continuous

Levels

The right level of generative AI for your needs

We adapt the technical complexity and functional scope to your actual challenges, not the other way around.

Turnkey generation assistant

A dedicated interface for your teams (marketing, e-commerce, HR) with pre-configured prompts, human validation, and history logs. Ideal for getting started quickly on 1 to 3 use cases. Deployed in 4 to 6 weeks.

Generative AI integrated into your tools

Generation directly within your business tools (CMS, PIM, CRM, Office). Connected to your data with workflow automation and fine-tuned to your brand guidelines. Deployed in 8 to 12 weeks.

Custom generative AI platform

A comprehensive, proprietary solution: multi-model (text + image), multi-user, advanced governance, self-hosted open-source models, GDPR/AI Act compliance, and granular monitoring. Deployed in 12 to 20 weeks.

Case Study

How we industrialized content production in 10 weeks

Context

A B2C marketplace with 80,000 product references, 60% of which lacked complete descriptions. The content team (4 people) could only process 200 descriptions per week—a major bottleneck for SEO and conversions.

Solution

A dedicated platform combining GPT-4o (text) and Stable Diffusion XL (lifestyle visuals) connected to their PIM. We generated titles, short/long descriptions, SEO tags, and contextual visuals in 5 languages.

Security & compliance

Hosted on Azure Europe, version-controlled prompts, no model training on client data, mandatory human validation before publication, AI image watermarking, and AI Act compliance.

Adoption

Training for internal editors, direct integration into the PIM back-office, continuous feedback loops on quality, and prompt adjustments per product category.

Résults

× 12

editorial productivity per writer

- 78%

average cost per enriched product description

languages natively covered, without needing a translation agency

+ 34%

EO traffic on enriched pages after 6 months

FAQ

Questions about Generative AI

What is the difference between using ChatGPT and deploying a custom generative AI ?

Public ChatGPT is a powerful consumer tool, but it’s generic: it doesn’t know your brand, your catalog, or your tone. More importantly, the data your employees enter could transit outside the EU. A custom generative AI is the exact opposite: connected to your data, aligned with your editorial guidelines, hosted in the environment of your choice (Europe, on-premise, or private cloud), with governance and safeguards tailored to your risk level.

Do my data and content remain confidential ?

Yes. We prioritize models hosted in Europe (Mistral, Azure OpenAI EU) or self-hosted open-source models (Llama, Mixtral, Stable Diffusion) depending on your sensitivity requirements. We contractually guarantee that none of your data is used to retrain the models. The architecture systematically includes encryption, auditable logging, and full GDPR & AI Act compliance.

Can AI truly respect our brand's tone and identity ?

Yes, and that is precisely the point of a custom project. We combine several methods: structured prompt engineering, reference bases (your guidelines and best existing content), fine-tuning if there is sufficient volume, and human validation workflows. The result: outputs that are indistinguishable from those of an in-house writer, at scale.

Can AI hallucinate or produce incorrect content ?

This is the main risk of generative models. We manage it through three mechanisms: grounding the AI in your data via RAG (Retrieval-Augmented Generation, meaning the model draws from your reliable sources rather than its own memory), mandatory human validation for high-stakes content, and technical safeguards (content filters, formatting constraints, anomaly detection). For critical content, human review is systematically required before publication.

How do we manage the rights to generated images ?

This is a crucial question that is evolving with the European AI Act. We favor models with clear commercial use terms (DALL·E 3, Stable Diffusion for commercial use, Midjourney Pro plans). We implement AI watermarking compliant with regulations, generation rules that prevent imitating the styles of living artists, and full traceability of the prompts used.

How long does it take to get a first prototype ?

Between 3 and 5 weeks for a demonstrable POC on a specific use case (e.g., generating product descriptions for one category, or creating marketing visuals for a specific campaign). This phase allows us to validate the business relevance and output quality before committing to the full industrialization budget.