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Artificial Intelligence

We develop advanced AI solutions, from autonomous agents to machine learning applications for process automation.

AI at the Service of Business

Artificial intelligence is transforming every sector. It’s no longer a technology of the future: it’s an operational tool that generates value today.

Our Specializations

AI Agents

We develop autonomous agents capable of reasoning, planning, and acting to achieve complex goals. We use cutting-edge frameworks like LangGraph and LangChain.

RAG and Knowledge Management

We build Retrieval Augmented Generation systems that allow language models to access corporate knowledge, ensuring accurate and contextualized responses.

Intelligent Automation

We combine AI and automation to eliminate repetitive tasks, accelerate processes, and reduce errors. From document processing to customer support.

Custom LLM Solutions

Model fine-tuning, on-premise deployment, integration with existing systems. We leverage the full potential of Large Language Models while respecting privacy and compliance.

Our Approach

  1. Discovery — We identify use cases with the greatest impact
  2. Proof of Concept — We validate feasibility with rapid prototypes
  3. Development — We implement production-ready solutions
  4. Evolution — We continuously monitor and improve

What's included

  • AI agents and automation
  • Large Language Models
  • Machine Learning
  • Computer Vision
  • NLP and text analysis
  • RAG and knowledge management

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Frequently asked questions

How does an artificial intelligence project unfold?
In four phases. Discovery, to identify the use cases with the greatest impact; proof of concept, to validate feasibility with rapid prototypes; development of the production-ready solution; and evolution, with continuous monitoring and improvement.
How do you make a language model answer from the company's own knowledge?
With Retrieval Augmented Generation systems, which give the model access to the corporate document base at request time. The answer stays anchored to what the company has actually written, instead of depending only on what the model memorized during training.
Is it possible to use an LLM without data leaving the company?
Yes. Among the solutions we build is on-premise deployment of models, alongside fine-tuning and integration with existing systems, precisely so that language models can be used within privacy and compliance constraints.
Which frameworks do you use to build agents?
LangGraph and LangChain, on which we develop autonomous agents able to reason, plan and act toward complex goals rather than answering one question at a time.

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