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Expertise 01

Artificial intelligence

Making AI a reliable working tool, not a demo.

Language models open up real possibilities: understanding documents, drafting, classifying, answering, deciding faster. But they still have to be connected to your data, your tools and your constraints.

Coality Consulting designs and integrates artificial intelligence solutions that fit into your teams' day-to-day work — measurable, secure and maintainable.

Scope

What we implement

  1. 01

    Generative AI

    Producing and transforming content: summaries, assisted writing, information extraction, translation.

  2. 02

    Large language model (LLM) integration

    Choosing the model that suits the need, the budget and the confidentiality of the data, whether hosted by a provider or run on your own infrastructure.

  3. 03

    Intelligent assistants

    Assistants for internal use or for your customers, which answer from your sources and can say when they do not know.

  4. 04

    AI agents

    Agents able to chain actions across your tools, within a defined scope of permissions and under human oversight where needed.

  5. 05

    RAG solutions

    Retrieval-augmented search over your documents: indexing, chunking, semantic search and sourced answers.

  6. 06

    AI API integration

    Connecting AI services to your applications, with management of costs, quotas, errors and traceability.

  7. 07

    Smart use of data

    Classifying, enriching and structuring data left untapped until now: emails, PDFs, meeting minutes, tickets.

  8. 08

    AI built into business applications

    AI features placed where they are useful, at the heart of your software rather than in yet another tool.

Our standard

Controlling risks from the design stage

Useful AI is AI whose limits are known. Every project explicitly addresses the confidentiality of the data sent, the verification of answers, error handling and usage costs.

Choices are documented: which model, which data, which safeguards, what human oversight. You stay in control of your solution.

Example technologies — Language models from several providers or open source, Python, TypeScript, vector databases, REST APIs.

A use case for artificial intelligence?

Describe your context and objectives: we will get back to you to discuss them and identify the right approach.

Let's talk about your project