In a tailor-made AI solution, even generative AI models are no longer considered plug-and-play products. They are carefully selected model(s), orchestrated into complete solutions, usable by any type of stakeholder within a well-defined context. Our role To select and combine the right building blocks and generative AI models for your context, while keeping robustness, security, and maintainability at the core.
- Generative + traditional AI = best of both worlds.
- Context first, technology second.
I need Gen AI
Three families of generative building blocks we integrate
LLM
The reference models for text-based use cases, used as the main foundation of our integrations. GPT-5, 4o, o3, Claude 3.5 Sonnet, Llama 3.1, Mistral Large…
Learn more about LLMs
What it changes:
- Make data accessible in natural language.
- Speed up reading and synthesis of unstructured content.
- VLM/MLLM if visual grounding is required (images, plans, diagrams, video).
Neovision proprietary RAG
A module of retrieval-augmented generation that connects a model to your knowledge (documents, databases, ERP, PLM…), for answers rooted in your organization’s truth.
Our RAG solution
What it changes:
- Scope control: AI only responds with your data.
- Risk management: fine-tuned settings (filtering, safeguards, logs).
Information extraction from documents
A block that identifies, retrieves and normalizes key information from files of various types
- PDFs,
- forms,
- reports,
- plans,
- etc.
This block can be used to automate, accelerate and secure the processing of your documents.
Common questions in Gen AI
Can generative and non-generative AI blocks be combined in the same solution?
Yes. Generative AI can enhance traditional pipelines (search, control, extraction) while leaving to classic models what they do best (speed, accuracy, controlled cost). The right combination wins on both sides.
Why use a proprietary RAG if a generalist LLM is sometimes enough?
To keep control of your data, reduce exposure to external clouds, and ground answers in your sources of truth. You control the scope, freshness, and traceability.
Why use an LLM for extraction if it can be done without?
Without LLMs, it works perfectly with documents whose structure is stable (standardized formats). As soon as the structure varies from one file to another, an LLM brings the flexibility needed to maintain both accuracy and coverage.
Why Neovision to integrate generative AI blocks?
→ Our added value
- Continuous monitoring: regular tracking of the most relevant models and tools.
- Pragmatic approach: selecting and integrating models adapted to your context.
→ Added value of a Generative AI solution assembled by Neovision:
- Data governance and security by design.
- Stability of results over time (unless explicitly requesting a non-open-source model).
- Architecture designed for scalability (models and infrastructures).