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Generative AI for content, images, and code

We put the most advanced generative models at the service of your brand: text that sounds like you, images consistent with your visuals, personalized videos, and code generation. All orchestrated in repeatable and measurable workflows.

Automatic creation of content, images, video, and code using the most advanced models on the market.

Use cases

  • Mass production of multilingual SEO content
  • Ad creative generation (Meta, Google)
  • Image personalization for every client
  • Video avatars for corporate training
  • Boilerplate code for new features

Measurable benefits

  • Far more creative output with the same team
  • Cross-channel visual and voice coherence
  • Rapid testing of concepts and claims
  • Fast iteration on marketing assets

Technical details

Text

  • GPT-4o, Claude 3.5, Gemini, Mistral Large
  • Tone of voice fine-tuning
  • Versioned prompt templates
  • Structured JSON/Markdown output

Images

  • DALL-E 3, Midjourney API, Stable Diffusion 3
  • ControlNet for composition control
  • LoRA training on brand visuals
  • Upscaling, inpainting, outpainting

Video

  • Runway, Pika, Sora-class models
  • Lip-sync and talking avatars
  • AI-assisted editing
  • Mass generation of variants

Code

  • GitHub Copilot Enterprise
  • AI code review
  • Automatic test generation
  • AI-assisted legacy code migration

How we set up content generation

  1. Editorial scope — We define what the system may produce and in which voice, starting from existing approved material.
  2. Sources and constraints — Generation works on verifiable data — product sheets, price lists, procedures — and states when information is unavailable.
  3. Prompts and templates — We build reusable instructions with context variables, keeping output consistent across channels.
  4. Review — The workflow always includes human approval before publishing public-facing content.
  5. Transparency — We define when and how to disclose automated generation, in line with the information duties of EU Regulation 2024/1689.
  6. Measurement — Output is judged on declared criteria — accuracy, tone adherence, absence of unsupported claims — not on volume.

We deliver the prompt library, editorial guidelines, approval workflow and output evaluation criteria.

Working with us

The team that analyses the process is the team that builds and maintains it: product, engineering, integration with your existing systems, governance of automated decisions and post-release support.

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FAQ

Is the output really in line with my brand?

Yes: dedicated fine-tuning and prompt libraries ensure consistent tone, style, and visuals. The final judgment remains human.

Can I use the content commercially?

Yes, we only work with providers that grant commercial rights (OpenAI, Adobe Firefly, licensed Stable Diffusion).

How do you handle the risk of 'hallucinations'?

Through RAG on certified sources, validation guardrails, and human review of published content.